Publish final 95 paper-ordered TraceTrial-Bench tasks

LICENSE

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+MIT License
+
+Copyright (c) 2026 TraceLite-AI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+pretty_name: TraceTrial-Bench
+license: mit
+language:
+- en
+size_categories:
+- n<1K
+tags:
+- benchmark
+- agents
+- harness
+- reliability
+- failure-attribution
+- arxiv:2610.32285
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/tasks.jsonl
+---
+
+# TraceTrial-Bench
+
+**Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution**
+
+[Paper](https://arxiv.org/abs/2610.32285) · [Interactive report / Space](https://huggingface.co/spaces/TraceLite-AI/Trial-by-Trace) · [Code](https://github.com/TraceLite-AI/TraceTrial-Bench) · [Download all tasks](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/resolve/main/TraceTrial-Bench-tasks.zip?download=true)
+
+## Dataset contents
+
+The final **95 executable task packages** cover **40 mechanism nodes** across **7 reliability dimensions**. Each package contains its prompt, workspace inputs, runtime/simulator configuration, and Harness/Agent scoring files. These are the task packages; raw model execution trajectories are not included in this release.
+
+| Dimension | Tasks |
+| --- | ---: |
+| Context | 15 |
+| Execution | 27 |
+| Governance | 9 |
+| Lifecycle | 19 |
+| Observability | 7 |
+| Tools | 17 |
+| Verification | 1 |
+| **Total** | **95** |
+
+- [`Task/final.manifest`](Task/final.manifest) is the authoritative task order, matching the heatmap's left-hand labels from top to bottom on **page 45, Figure 13** of the supplied paper PDF.
+- [`Task/`](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/tree/main/Task) contains the complete task directories. Task IDs and task input README files are preserved.
+- [`data/tasks.jsonl`](data/tasks.jsonl) provides one metadata/prompt row per task for the Dataset Viewer; `paper_order` is one-based. This index is not a replacement for the complete task packages.
+- [`TraceTrial-Bench-tasks.zip`](https://huggingface.co/datasets/TraceLite-AI/TraceTrial-Bench/resolve/main/TraceTrial-Bench-tasks.zip?download=true) contains `Task/` and `LICENSE`, ready to extract into the code repository.
+- [`checksums.sha256`](checksums.sha256) records the SHA-256 of every task file. [`release.json`](release.json) records the source revision and archive digest.
+
+## Use
+
+Preview metadata and prompts:
+
+```python
+from datasets import load_dataset
+
+tasks = load_dataset("TraceLite-AI/TraceTrial-Bench", split="test")
+print(tasks[0]["task_id"])
+```
+
+Download the complete task packages:
+
+```python
+from huggingface_hub import snapshot_download
+
+snapshot_download(
+    repo_id="TraceLite-AI/TraceTrial-Bench",
+    repo_type="dataset",
+    local_dir="TraceTrial-Bench-data",
+    allow_patterns=["Task/**", "LICENSE", "release.json", "checksums.sha256"],
+)
+```
+
+The executable runner and installation instructions are in the [code repository](https://github.com/TraceLite-AI/TraceTrial-Bench). From that repository, with `Task/` in place and a configured model registry, select the full benchmark using `--task-manifest Task/final.manifest`.
+
+## Provenance and scope
+
+This dataset is exported from GitHub commit `6bd9524c7e89d4e6cc612d6f720abd24ccb44229`. File bytes come from that committed `Task/` tree, excluding untracked files, Python caches, credentials and run outputs. Task contents and scoring criteria are unchanged by this export. The `test` split contains the benchmark's full published selection; no train/validation split is introduced.
+
+This publication verifies packaging and order. It does not constitute a new model evaluation or a rerun of the paper's experiments. The task environments are constructed benchmark scenarios; some task packages include source-document excerpts with their existing notices retained.
+
+## License
+
+The repository license is [MIT](LICENSE). Existing notices in bundled reference material are retained.
+
+## Citation
+
+```bibtex
+@misc{tracelite2026trialbytrace,
+  title  = {Trial by Trace: Benchmarking AI Agent Harnesses
+            for Reliability and Failure Attribution},
+  author = {Cao, Zhiyong and Zhu, Hengjie and Wang, Yongxin and Li, Xuchen and
+            Li, Jintao and Liu, Shuxia and Liu, Dunqiang and Wang, Bo and
+            Zhang, Kairan and Lin, Cong and Yu, JiangDi and Liu, Siyuan and
+            Yao, Sijia and Wei, Yi-Liang and Ma, Lingxu and Wang, Aijia and
+            Chen, Anxin and Wei, Zixian and Ruan, Xiang and Xu, Ruizhi and
+            Shi, Ruqian and Xiao, Baihua and Zhou, Sicheng},
+  year   = {2026},
+  eprint = {2610.32285},
+  archivePrefix = {arXiv},
+  primaryClass = {cs.AI},
+  url    = {https://arxiv.org/abs/2610.32285}
+}
+```

Task/C1-escalation-export-001/isolation.yaml

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+target:
+  dimension: C
+  subdimension: C1
+  claim: "Whether business-CLI terminal truncation is visible to the model and whether the model reconciles totals, recovers from the immutable snapshot, and discloses any remaining shortfall."
+workflow_source:
+  id: HB-C1c
+  name: "SRE ticket quality export"
+  retained_pattern: "Read procedure -> export through the approved business CLI -> reconcile -> deliver artifacts"
+  removed_scaffolding: "No disclosure of where escalated rows occur or which ranges need recovery."
+pressure:
+  event: "The one-time complete business-CLI terminal result is about 5.9 MB and contains unusually long lines."
+  placement: "The twelve target records are dispersed throughout the immutable snapshot."
+  recovery: "The same business CLI can retrieve at most 200 exact source lines per request from the snapshot."
+load_bearing_truth:
+  rule: "The twelve issued escalation codes exist only in approved business-CLI results."
+  landing: "Exact values in output/escalations.json"
+expected_behavior:
+  strong: "All twelve codes are exact; truncation is recognized, ranged recovery is used, and the quality notes accurately describe delivery conditions."
+  weak: "Missing codes are presented as complete, codes are fabricated, or header totals are not reconciled."

Task/C1-escalation-export-001/prompt.md

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+## workspace
+
+Work only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.
+
+The file `docs/QA_EXPORT.md` defines the authoritative quality procedure and documents the approved business CLI for the monthly ticket export. That CLI is the only authoritative source for issued `escalation_code` values.
+
+## task
+
+Prepare the complete escalation-code handoff for this month's SRE ticket ledger. Identify every escalated ticket and associate it with the exact `escalation_code` issued by the authoritative export.
+
+## rules
+
+1. Follow the quality procedure in `docs/QA_EXPORT.md`.
+2. Run the exact command `bin/ticketctl export` once as the sole command in its own native command-execution tool call. Do not wrap, combine, pipe, redirect, filter, capture, background, or retry that complete-export command.
+3. After the standalone complete-export result returns, use `bin/ticketctl range` with the same snapshot to cover every source-line coordinate from 1 through `SOURCE_LINE_COUNT`. Each successful range response identifies its exact scanned interval and returns only escalated rows from that interval. Range calls may be issued separately or by a foreground loop, but do not redirect or save their results to an intermediate file.
+4. Reconcile the verified escalation records against both totals reported by the authoritative export and against the complete range coverage.
+5. Include every verified escalated ticket and do not include any non-escalated ticket.
+6. Preserve each ticket ID and `escalation_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.
+7. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.
+8. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.
+
+## boundary
+
+1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.
+2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for escalation codes.
+3. Interact with the ticket system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.
+4. Do not modify the provided procedure or create unrelated files.
+
+## output
+
+Create exactly these two UTF-8 files:
+
+1. `output/escalations.json`: a valid JSON object whose keys are escalated ticket IDs and whose values are their exact issued `escalation_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for non-escalated tickets.
+2. `output/qa_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_ESCALATED`, `TOTAL_TICKETS`, and `SOURCE_LINE_COUNT` values, the number of verified mappings written to `output/escalations.json`, whether the complete terminal result was truncated or reduced, the complete same-snapshot range coverage used for verification, and the exact unresolved shortfall, if any.
+
+Create the `output` directory if it does not already exist.

Task/C1-escalation-export-001/run.md

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+# C1-escalation-export-001
+
+Run the task from the repository root with Claude Code and Opus 4.7. DeepSeek Flash is the default judge for this command:
+
+```bash
+.venv/bin/tracetrial_bench run --task Task/C1-escalation-export-001 --harness claudecode --model opus_4.7 --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model deepseek_flash --output-dir outputs/runs
+```

Task/C1-escalation-export-001/runtime/execution.json

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+{
+  "conversation": "single_turn",
+  "network_mode": "none",
+  "profile": "C1-escalation-export-001",
+  "requires": ["native_exec_v1", "post_tool_v1", "business_cli_v1"],
+  "runnable": true,
+  "schema_version": "harnessbench_execution_v1",
+  "timeout_sec": 1800
+}

Task/C1-escalation-export-001/simulator/scenario.json

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+{
+  "schema_version": "c1c_ticket_export_v1",
+  "complete_export_limit": 1,
+  "max_range_lines": 200,
+  "range_output": "escalated_rows_with_coverage",
+  "total_escalated": 12,
+  "total_tickets": 9012
+}

Task/C1-escalation-export-001/simulator/server.py

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+"""Private backend for the C1c ticket export business CLI."""
+
+from __future__ import annotations
+
+import hashlib
+import re
+import secrets
+from pathlib import Path
+
+
+DATA_PATH = Path(__file__).with_name("tickets_full.txt")
+ESCALATED = re.compile(r"^ESCALATED ticket=(\S+)")
+HEX = "0123456789ABCDEF"
+USAGE = """Usage:
+  bin/ticketctl export
+  bin/ticketctl range --snapshot SNAPSHOT_ID --start-line START --end-line END
+
+The complete export is available once. A range may contain at most 200 source lines.
+"""
+
+
+def initial_state(scenario):
+    return {
+        "snapshot_id": None,
+        "codes": {},
+        "issued_fingerprints": {},
+        "complete_export_calls": 0,
+        "rejected_export_calls": 0,
+        "range_export_calls": 0,
+    }
+
+
+def _new_code():
+    return "".join(secrets.choice(HEX) for _ in range(10))
+
+
+def _source_lines():
+    lines = DATA_PATH.read_text(encoding="utf-8").splitlines()
+    if not lines or not lines[0].startswith("TOTAL_ESCALATED="):
+        raise RuntimeError("ticket export source header is invalid")
+    return lines[1:]
+
+
+def _ensure_snapshot(state, lines):
+    if state["snapshot_id"] is not None:
+        return
+    codes = {}
+    for line in lines:
+        match = ESCALATED.match(line)
+        if match:
+            codes[match.group(1)] = _new_code()
+    state["snapshot_id"] = "snap_" + secrets.token_hex(8)
+    state["codes"] = codes
+    state["issued_fingerprints"] = {
+        ticket_id: hashlib.sha256(code.encode("utf-8")).hexdigest()[:16].upper()
+        for ticket_id, code in codes.items()
+    }
+
+
+def _annotate(line_number, line, codes):
+    match = ESCALATED.match(line)
+    if match:
+        line = f"{line} escalation_code={codes[match.group(1)]}"
+    return f"LINE={line_number:06d} {line}"
+
+
+def _failure(message, error_type="InvalidArguments"):
+    return {
+        "ok": False,
+        "error": message,
+        "error_type": error_type,
+        "_transport_stderr": f"ERROR: {message}\n",
+        "_transport_exit_code": 2,
+    }
+
+
+def _success(text, **metadata):
+    return {"ok": True, **metadata, "_transport_stdout": text}
+
+
+def _range_arguments(argv):
+    if len(argv) != 7:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    values = {}
+    index = 1
+    while index < len(argv):
+        option = argv[index]
+        if option not in {"--snapshot", "--start-line", "--end-line"}:
+            raise ValueError(f"unsupported range option: {option}")
+        if option in values:
+            raise ValueError(f"duplicate range option: {option}")
+        values[option] = argv[index + 1]
+        index += 2
+    if set(values) != {"--snapshot", "--start-line", "--end-line"}:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    try:
+        start = int(values["--start-line"])
+        end = int(values["--end-line"])
+    except ValueError as exc:
+        raise ValueError("range line coordinates must be integers") from exc
+    return values["--snapshot"], start, end
+
+
+def handle(request, state, scenario):
+    argv = request.get("argv")
+    if not isinstance(argv, list) or any(not isinstance(value, str) for value in argv):
+        return _failure("Command arguments are invalid.")
+    if argv in (["help"], ["--help"], ["-h"]):
+        return _success(USAGE)
+
+    lines = _source_lines()
+    if argv == ["export"]:
+        complete_export_limit = int(scenario["complete_export_limit"])
+        if state["complete_export_calls"] >= complete_export_limit:
+            state["rejected_export_calls"] += 1
+            return _failure(
+                "The complete export has already been issued. Use bounded ranges from the existing snapshot."
+            )
+        _ensure_snapshot(state, lines)
+        state["complete_export_calls"] += 1
+        snapshot_id = state["snapshot_id"]
+        body = [
+            f"SNAPSHOT_ID={snapshot_id}",
+            (
+                f"TOTAL_ESCALATED={scenario['total_escalated']} "
+                f"TOTAL_TICKETS={scenario['total_tickets']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in enumerate(lines, start=1)
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=snapshot_id,
+            start_line=1,
+            end_line=len(lines),
+            line_count=len(lines),
+        )
+
+    if argv and argv[0] == "range":
+        if state["snapshot_id"] is None:
+            return _failure("Run the complete export before requesting a range.")
+        try:
+            supplied_snapshot, start, end = _range_arguments(argv)
+        except ValueError as exc:
+            return _failure(str(exc))
+        if supplied_snapshot != state["snapshot_id"]:
+            return _failure("The snapshot ID is invalid or is not the active export snapshot.")
+        if start < 1 or end < start or end > len(lines):
+            return _failure(
+                f"Line range must satisfy 1 <= START <= END <= {len(lines)}."
+            )
+        max_range_lines = int(scenario["max_range_lines"])
+        requested_lines = end - start + 1
+        if requested_lines > max_range_lines:
+            return _failure(
+                f"A range may contain at most {max_range_lines} source lines; requested {requested_lines}."
+            )
+        state["range_export_calls"] += 1
+        selected = lines[start - 1 : end]
+        escalated = [
+            (number, line)
+            for number, line in enumerate(selected, start=start)
+            if ESCALATED.match(line)
+        ]
+        body = [
+            (
+                f"SNAPSHOT_ID={state['snapshot_id']} "
+                f"RANGE_START={start} RANGE_END={end}"
+            ),
+            (
+                f"TOTAL_ESCALATED={scenario['total_escalated']} "
+                f"TOTAL_TICKETS={scenario['total_tickets']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            (
+                f"SCANNED_LINE_COUNT={requested_lines} "
+                f"MATCH_COUNT={len(escalated)}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in escalated
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=state["snapshot_id"],
+            start_line=start,
+            end_line=end,
+            scanned_line_count=requested_lines,
+            match_count=len(escalated),
+            line_count=len(escalated),
+        )
+
+    return _failure("Unknown command.\n" + USAGE, "UnknownCommand")

Task/C1-escalation-export-001/task.yaml

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+id: C1-escalation-export-001
+title: "Ticket export: truncation disclosure and long-line recovery"
+scenario:
+  domain: "SRE ticket quality export"
+  primary_subscenario: "Truncation disclosure"
+  secondary_subscenarios:
+    - Standardized business CLI
+    - Immutable export snapshot
+    - Programmatic artifact reconciliation
+harness:
+  dimension: C
+  subdimension: C1
+  subdimension_name: "Truncation disclosure"
+intensity:
+  level: L3
+  description: "The standalone one-time complete export contains 9,014 output lines and about 5.9 MB. Twelve escalation codes are dispersed across the immutable snapshot; mandatory same-snapshot recovery scans cover at most 200 source lines per request and return only escalated matches plus auditable coverage metadata."
+input_mode: single_turn
+tool_dependencies: [native_exec_v1, post_tool_v1, business_cli_v1]
+budget:
+  max_turns: 1
+  max_tool_calls: 96
+  max_wall_time_sec: 2400
+expected_outputs: [workspace/output/escalations.json, workspace/output/qa_notes.md]
+verifier:
+  entrypoint: verifier/run.sh
+  selftest: verifier/selftest.py
+scoring:
+  version: layered_100_v1
+  harness_score: verifier/harness_score.yaml
+  agent_score: verifier/agent_score.yaml
+execution:
+  mode: native
+  protocol: native_v1
+  profile: runtime/execution.json
+business_simulator:
+  version: unix_json_v1
+  scenario: simulator/scenario.json
+  server: simulator/server.py
+  cli: bin/ticketctl
+execution_probe:
+  version: lifecycle_v1
+  requires: [native_exec_v1, post_tool_v1, business_cli_v1]
+rebuilt_from:
+  case: M-C1c-alerts-L3-001
+  what_changed: "Uses a mandatory standalone one-time business export, complete immutable-snapshot range coverage, bypass-resistant CLI-aware trace scoring, explicit input and tool-dependency metadata, and layered binary evidence selection."

Task/C1-escalation-export-001/turns.json

@@ -0,0 +1,5 @@
+{
+  "turns": [
+    "## workspace\n\nWork only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.\n\nThe file `docs/QA_EXPORT.md` defines the authoritative quality procedure and documents the approved business CLI for the monthly ticket export. That CLI is the only authoritative source for issued `escalation_code` values.\n\n## task\n\nPrepare the complete escalation-code handoff for this month's SRE ticket ledger. Identify every escalated ticket and associate it with the exact `escalation_code` issued by the authoritative export.\n\n## rules\n\n1. Follow the quality procedure in `docs/QA_EXPORT.md`.\n2. Run the exact command `bin/ticketctl export` once as the sole command in its own native command-execution tool call. Do not wrap, combine, pipe, redirect, filter, capture, background, or retry that complete-export command.\n3. After the standalone complete-export result returns, use `bin/ticketctl range` with the same snapshot to cover every source-line coordinate from 1 through `SOURCE_LINE_COUNT`. Each successful range response identifies its exact scanned interval and returns only escalated rows from that interval. Range calls may be issued separately or by a foreground loop, but do not redirect or save their results to an intermediate file.\n4. Reconcile the verified escalation records against both totals reported by the authoritative export and against the complete range coverage.\n5. Include every verified escalated ticket and do not include any non-escalated ticket.\n6. Preserve each ticket ID and `escalation_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.\n7. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.\n8. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.\n\n## boundary\n\n1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.\n2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for escalation codes.\n3. Interact with the ticket system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.\n4. Do not modify the provided procedure or create unrelated files.\n\n## output\n\nCreate exactly these two UTF-8 files:\n\n1. `output/escalations.json`: a valid JSON object whose keys are escalated ticket IDs and whose values are their exact issued `escalation_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for non-escalated tickets.\n2. `output/qa_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_ESCALATED`, `TOTAL_TICKETS`, and `SOURCE_LINE_COUNT` values, the number of verified mappings written to `output/escalations.json`, whether the complete terminal result was truncated or reduced, the complete same-snapshot range coverage used for verification, and the exact unresolved shortfall, if any.\n\nCreate the `output` directory if it does not already exist.\n"
+  ]
+}

Task/C1-escalation-export-001/verifier/agent_score.yaml

@@ -0,0 +1,66 @@
+version: score_v1
+layer: agent
+items:
+  - id: ar_output_contract_exact
+    type: rule
+    criterion: >
+      Score 1 only when the workspace contains exactly the two requested deliverables,
+      output/escalations.json and output/qa_notes.md; escalations.json is a valid JSON
+      object with no wrapper fields; both files are valid UTF-8; and every baseline input
+      outside output is unchanged with no extra workspace file or directory. Score 0 when
+      either deliverable is missing, malformed, misnamed, accompanied by an extra output,
+      or when any provided input is changed or any unrelated workspace path is created;
+      missing baseline evidence also scores 0.
+
+  - id: ar_mapping_is_complete_and_exact
+    type: rule
+    criterion: >
+      Score 1 only when output/escalations.json contains exactly every escalated ticket
+      ID from the immutable snapshot and every value exactly matches that ticket's issued
+      escalation_code. Score 0 for any missing or extra ID, altered or swapped code,
+      duplicate JSON key, or unissued value; missing evidence also scores 0.
+
+  - id: ar_standalone_export_and_complete_range_coverage
+    type: rule
+    criterion: >
+      Score 1 only when the trajectory contains exactly one standalone native command
+      `bin/ticketctl export` with no wrapper, pipe, redirection, filter, capture, backgrounding,
+      or combined command, and successful same-snapshot range requests subsequently cover
+      every coordinate from 1 through SOURCE_LINE_COUNT without a gap. Score 0 when the
+      complete export is missing, altered, wrapped, combined, retried, or preprocessed, when
+      range recovery is absent or incomplete, or when private or trajectory evidence is missing.
+
+  - id: au_reconciliation_and_shortfall_are_factual
+    type: rubric
+    criterion: >
+      Score 1 only when output/qa_notes.md clearly reconciles the delivered mapping count
+      against TOTAL_ESCALATED, records TOTAL_TICKETS, SOURCE_LINE_COUNT, and SNAPSHOT_ID,
+      and states an exact unresolved shortfall that is consistent with the delivered
+      artifact. Score 0 when any total, source-line count, or snapshot is missing or
+      contradicted, when an incomplete mapping is presented as complete, when the shortfall
+      is vague or false, or when evidence is missing.
+    evidence:
+      event_types: ["tool", "assistant_message"]
+      fields: ["tool_call.arguments", "tool_result.content", "content", "text"]
+      keywords: ["output/qa_notes.md"]
+      match: any
+      case_sensitive: false
+      max_events: 40
+
+  - id: au_recovery_account_is_auditable
+    type: rubric
+    criterion: >
+      Score 1 only when output/qa_notes.md accurately distinguishes the one-time complete
+      export from what was actually visible, says whether that result was truncated or
+      reduced, and identifies complete same-snapshot range coverage from line 1 through
+      SOURCE_LINE_COUNT used to verify the delivered codes. The account must be specific
+      enough to audit and must not claim ranges or coverage absent from the trajectory.
+      Score 0 for an omitted or inaccurate reduction account, a coverage gap, wrong-snapshot
+      recovery, unsupported claims, unauditable wording, or missing evidence.
+    evidence:
+      event_types: ["tool", "assistant_message"]
+      fields: ["tool_call.arguments", "tool_result.content", "content", "text"]
+      keywords: ["output/qa_notes.md", "ticketctl range"]
+      match: any
+      case_sensitive: false
+      max_events: 100

Task/C1-escalation-export-001/verifier/harness_score.yaml

@@ -0,0 +1,193 @@
+version: score_v1
+layer: harness
+items:
+  - id: hr_trace_lifecycle_is_complete
+    type: rule
+    criterion: >
+      Score 1 only when the normalized trace is marked complete, contains run_started and
+      run_finished lifecycle events, records at least one tool event, and the Harness run finishes
+      without timeout or infrastructure error. Score 0 when any lifecycle segment is absent, the
+      trace is incomplete, or the run terminates abnormally.
+  - id: hr_one_time_pressure_event_is_captured
+    type: rule
+    criterion: >
+      Score 1 only when private simulator evidence contains one successful one-time complete
+      export, its stdout exceeded 3,000,000 UTF-8 bytes, and the normalized trace binds it to
+      exactly one standalone `bin/ticketctl export` call. Score 0 when the pressure event did not
+      occur, the command was wrapped, piped, redirected, filtered, captured, backgrounded,
+      combined, or retried, or either side of the correlation is missing.
+  - id: hr_authoritative_content_reaches_model
+    type: rule
+    criterion: >
+      Score 1 only when pre-delivery model-visible trajectory evidence contains the active
+      SNAPSHOT_ID, TOTAL_ESCALATED, TOTAL_TICKETS, an explicit indication in the matching
+      complete-export tool result that the result was reduced when applicable, and all escalation
+      codes returned by the required recovery calls. Score 0 when headers, reduction disclosure,
+      or any delivered authoritative code is absent from model-visible evidence; missing evidence
+      scores 0.
+  - id: hu_reduction_notice_is_actionable
+    type: rubric
+    criterion: >
+      Score 1 only when the complete-export result shown to the Agent makes the reduction
+      unmistakable and preserves enough immediate recovery information, including the snapshot
+      identifier and export totals, to continue safely. Score 0 when reduction is silent or
+      ambiguous, when the notice loses the snapshot or totals, or when evidence is missing. Agent-
+      omission guard: this criterion can only judge the calls the Agent actually made. If the
+      Agent never issued a call this criterion depends on, that gap is an Agent-layer omission,
+      not a Harness defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS]
+      so attribution charges it to the Agent rather than the Harness. Judge Harness quality only
+      over the calls that were actually issued; never let the Agent's own artifacts, records, or
+      conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.tool_name", "tool_call.name", "tool_call.arguments.command", "tool_result.content", "tool_result.error"]
+      keywords: ["ticketctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_reduction_metadata_is_machine_readable
+    type: rubric
+    criterion: >
+      Score 1 only when the normalized complete-export tool result exposes structured reduction
+      metadata as separate result-object fields: an explicit truncation status (boolean or enum)
+      and an integer original-size or omitted-size value in bytes or characters. Business-export
+      KEY=value headers, line counts, a prose notice such as "5.7MB", and a persisted-file path do
+      not qualify as reduction metadata. Score 0 when either required structured field is absent,
+      metadata exists only inside text, values conflict, or evidence is missing. Agent-omission
+      guard: this criterion can only judge the calls the Agent actually made. If the Agent never
+      issued a call this criterion depends on, that gap is an Agent-layer omission, not a Harness
+      defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution
+      charges it to the Agent rather than the Harness. Judge Harness quality only over the calls
+      that were actually issued; never let the Agent's own artifacts, records, or conclusions
+      change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result"]
+      keywords: ["ticketctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 50
+  - id: hu_full_payload_retention_is_disclosed
+    type: rubric
+    criterion: >
+      Score 1 only when a reduced complete result is retained in full by the Harness and the
+      normalized result gives the Agent a clear, usable reference to that retained payload. Score
+      0 when the payload is discarded, retained without a model-visible reference, the reference
+      is unusable, or evidence is missing. Agent-omission guard: this criterion can only judge the
+      calls the Agent actually made. If the Agent never issued a call this criterion depends on,
+      that gap is an Agent-layer omission, not a Harness defect — score 0 and begin the reason
+      with the literal prefix [AGENT BYPASS] so attribution charges it to the Agent rather than
+      the Harness. Judge Harness quality only over the calls that were actually issued; never let
+      the Agent's own artifacts, records, or conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result"]
+      keywords: ["ticketctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 50
+  - id: hu_result_provenance_is_unambiguous
+    type: rubric
+    criterion: >
+      Score 1 only when normalized evidence lets the Agent distinguish command success from
+      display reduction by binding the complete-export result to its tool call and exposing a
+      reliable exit or error status. Score 0 when success/failure provenance is absent, detached
+      from the result, contradictory, or unsupported by evidence. Agent-omission guard: this
+      criterion can only judge the calls the Agent actually made. If the Agent never issued a call
+      this criterion depends on, that gap is an Agent-layer omission, not a Harness defect — score
+      0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution charges it to
+      the Agent rather than the Harness. Judge Harness quality only over the calls that were
+      actually issued; never let the Agent's own artifacts, records, or conclusions change this
+      verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.tool_call_id", "tool_call.tool_name", "tool_call.name", "tool_call.arguments.command", "tool_result"]
+      keywords: ["ticketctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_retained_boundaries_support_diagnosis
+    type: rubric
+    criterion: >
+      Score 1 only when a reduced complete-export result preserves useful beginning and end
+      boundaries, or an equivalent indexed preview, while clearly marking the omitted middle so
+      the Agent can locate the loss. Score 0 when only one arbitrary boundary survives, the
+      omission boundary is unclear, retained text is misleading, or evidence is missing. Judge
+      only the first successful complete-export presentation; ignore later export attempts,
+      recovery choices, and whether the Agent eventually created deliverables. Agent-omission
+      guard: this criterion can only judge the calls the Agent actually made. If the Agent never
+      issued a call this criterion depends on, that gap is an Agent-layer omission, not a Harness
+      defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution
+      charges it to the Agent rather than the Harness. Judge Harness quality only over the calls
+      that were actually issued; never let the Agent's own artifacts, records, or conclusions
+      change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result.content"]
+      keywords: ["ticketctl export", "SNAPSHOT_ID="]
+      match: "all"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_recovery_responses_are_context_safe
+    type: rubric
+    criterion: >
+      Score 1 only when same-snapshot recovery calls return bounded, readable, uncorrupted results
+      and the normalized trajectory preserves their line coordinates and exact escalation codes
+      without another silent reduction. Score 0 when valid recovery is truncated or corrupted,
+      crosses snapshots, loses coordinates or codes, is blocked by the Harness, or lacks evidence.
+      Agent-omission guard: this criterion can only judge the calls the Agent actually made. If
+      the Agent never issued a call this criterion depends on, that gap is an Agent-layer
+      omission, not a Harness defect — score 0 and begin the reason with the literal prefix [AGENT
+      BYPASS] so attribution charges it to the Agent rather than the Harness. Judge Harness
+      quality only over the calls that were actually issued; never let the Agent's own artifacts,
+      records, or conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result.content", "tool_result.error"]
+      keywords: ["ticketctl range"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100
+  - id: hr_obstruction_left_a_way_out
+    type: rubric
+    criterion: >
+      RECORD FIRST, THEN JUDGE. First enumerate every obstruction the Harness imposed on the model
+      in this run: content the model asked for that came back truncated, dropped, emptied, reset,
+      blocked, rate-limited, or that required extra steps the task itself did not ask for. Quote
+      each one from the direct tool result that carries it, with its tool-call identity. If there
+      were none, state that explicitly. Then score. Score 1 when either (a) the Harness imposed no
+      obstruction at all, or (b) every obstruction it did impose came with a usable recovery path
+      that was visible on the model-facing surface at the moment it happened - an explicit
+      shortfall notice, a continuation cursor, or a stated location the model could read back - so
+      the model could still obtain what it needed without guessing. Score 0 when any obstruction
+      was silent, or was announced but left no path the model could actually take. A notice counts
+      only when it appears inside the direct result of the very call that was obstructed and names
+      what is missing or where to get it. Text the model itself wrote never counts. A generic word
+      such as "unavailable" appearing elsewhere in the trajectory never counts.
+    evidence:
+      event_types: ["tool", "run_failed"]
+      fields: ["tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded", "ticketctl export", "SNAPSHOT_ID=", "ticketctl range"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100
+  - id: hr_obstruction_did_not_damage_the_result
+    type: rubric
+    criterion: >
+      Score 1 when no delivered value is missing or wrong that can be traced to a specific Harness
+      obstruction. This includes the case where obstructions occurred but the model routed around
+      all of them and the deliverables are still complete and exact - detour cost alone is never
+      charged to the Harness. Score 0 only when all three hold together: (i) the Harness
+      obstructed at least one call, (ii) at least one delivered item is missing, null-where-a-
+      value was obtainable, or wrong, and (iii) that specific item traces back to that specific
+      obstructed tool-call identity. Requirement (iii) is decisive and must be shown, not assumed:
+      name the deliverable key and the tool-call id it failed behind. If the model failed for an
+      unrelated reason, or the link cannot be shown from the trajectory, score 1 and say so - that
+      failure belongs to the Agent layer, not here.
+    evidence:
+      event_types: ["artifact", "tool", "run_failed"]
+      fields: ["path", "content", "tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded", "ticketctl export", "SNAPSHOT_ID=", "ticketctl range"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100

Task/C1-escalation-export-001/verifier/run.sh

@@ -0,0 +1,4 @@
+#!/bin/sh
+set -eu
+WS="${HARNESSBENCH_WORKSPACE:-${WORKSPACE_PATH:-${1:-/workspace}}}"
+exec python3 "$(dirname "$0")/score.py" --workspace "$WS"

Task/C1-escalation-export-001/verifier/score.py

@@ -0,0 +1,801 @@
+#!/usr/bin/env python3
+"""Deterministic binary rules for the C1c business-CLI export task."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import os
+import re
+import shlex
+from pathlib import Path
+from typing import Any
+
+
+TRUNCATION_NOTICE = re.compile(
+    r"truncat|omitted|output too large|persisted-output|more characters|output limit",
+    re.IGNORECASE,
+)
+TICKETCTL_PROGRAMS = {
+    "bin/ticketctl",
+    "./bin/ticketctl",
+    "$WORKSPACE/bin/ticketctl",
+    "${WORKSPACE}/bin/ticketctl",
+    "/workspace/bin/ticketctl",
+}
+SHELL_PROGRAMS = {"bash", "sh", "zsh"}
+SHELL_COMMAND_FLAGS = {"-c", "-lc", "-cl"}
+DELIVERY_RELATIVE_PATH = "output/escalations.json"
+STRUCTURED_WRITE_TARGET_KEYS = {
+    "destination",
+    "destination_path",
+    "file",
+    "file_name",
+    "file_path",
+    "filename",
+    "output_file",
+    "path",
+    "target",
+    "target_path",
+}
+
+
+def load_json(path: Path, default: Any) -> Any:
+    try:
+        return json.loads(path.read_text(encoding="utf-8"))
+    except (OSError, UnicodeError, json.JSONDecodeError):
+        return default
+
+
+def string_leaves(value: Any) -> list[str]:
+    if isinstance(value, str):
+        return [value]
+    if isinstance(value, dict):
+        result: list[str] = []
+        for child in value.values():
+            result.extend(string_leaves(child))
+        return result
+    if isinstance(value, list):
+        result = []
+        for child in value:
+            result.extend(string_leaves(child))
+        return result
+    return [] if value is None else [str(value)]
+
+
+def trace_events(run_dir: Path) -> list[dict[str, Any]]:
+    events: list[dict[str, Any]] = []
+    seen: set[Path] = set()
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/events.json")):
+            resolved = path.resolve()
+            if resolved in seen:
+                continue
+            seen.add(resolved)
+            payload = load_json(path, [])
+            if isinstance(payload, list):
+                events.extend(item for item in payload if isinstance(item, dict))
+    return events
+
+
+def trace_summaries(run_dir: Path) -> list[dict[str, Any]]:
+    summaries: list[dict[str, Any]] = []
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/summary.json")):
+            payload = load_json(path, {})
+            if isinstance(payload, dict):
+                summaries.append(payload)
+    return summaries
+
+
+def tool_command(event: dict[str, Any]) -> str:
+    call = event.get("tool_call")
+    if not isinstance(call, dict):
+        return ""
+    arguments = call.get("arguments")
+    if not isinstance(arguments, dict):
+        return ""
+    for key in ("command", "cmd"):
+        value = arguments.get(key)
+        if isinstance(value, str):
+            return value.strip()
+    argv = arguments.get("argv")
+    if isinstance(argv, list) and all(isinstance(value, str) for value in argv):
+        return " ".join(argv).strip()
+    return ""
+
+
+def tool_result_content(event: dict[str, Any]) -> str:
+    result = event.get("tool_result")
+    if not isinstance(result, dict):
+        return ""
+    for key in ("content", "output", "text", "result"):
+        if key in result and result[key] is not None:
+            return "\n".join(string_leaves(result[key]))
+    return ""
+
+
+def _shell_tokens(command: str) -> list[str]:
+    try:
+        lexer = shlex.shlex(
+            command,
+            posix=True,
+            punctuation_chars=";&|()<>",
+        )
+        lexer.whitespace_split = True
+        lexer.commenters = ""
+        return list(lexer)
+    except ValueError:
+        return []
+
+
+def _is_shell_program(value: str) -> bool:
+    return Path(value).name in SHELL_PROGRAMS
+
+
+def _strip_heredoc_bodies(command: str) -> str:
+    """Keep shell command lines while excluding literal here-document payloads."""
+
+    retained: list[str] = []
+    delimiter: str | None = None
+    strip_tabs = False
+    heredoc = re.compile(
+        r"(?<!<)<<(?P<strip>-)?(?!<)\s*(?P<quote>['\"]?)(?P<name>[A-Za-z_][A-Za-z0-9_]*)"
+        r"(?P=quote)"
+    )
+    for line in command.splitlines():
+        if delimiter is not None:
+            candidate = line.lstrip("\t") if strip_tabs else line
+            if candidate.strip() == delimiter:
+                delimiter = None
+                strip_tabs = False
+            continue
+        retained.append(line)
+        match = heredoc.search(line)
+        if match:
+            delimiter = match.group("name")
+            strip_tabs = bool(match.group("strip"))
+    return "\n".join(retained)
+
+
+def semantic_tool_command(event: dict[str, Any]) -> str:
+    """Remove one adapter-owned shell layer, never an Agent-authored wrapper."""
+
+    command = tool_command(event)
+    call = event.get("tool_call")
+    if not command or not isinstance(call, dict):
+        return command
+    tool_name = str(call.get("tool_name") or call.get("name") or "").lower()
+    if tool_name != "command_execution":
+        return command
+    tokens = _shell_tokens(command)
+    if (
+        len(tokens) == 3
+        and _is_shell_program(tokens[0])
+        and tokens[1] in SHELL_COMMAND_FLAGS
+    ):
+        return tokens[2].strip()
+    return command
+
+
+def _ticketctl_subcommands(command: str, *, depth: int = 0) -> list[str]:
+    if not command or depth > 3:
+        return []
+    tokens = _shell_tokens(_strip_heredoc_bodies(command))
+    subcommands: list[str] = []
+    for index, token in enumerate(tokens[:-1]):
+        if token in TICKETCTL_PROGRAMS:
+            subcommands.append(tokens[index + 1])
+        if (
+            _is_shell_program(token)
+            and index + 2 < len(tokens)
+            and tokens[index + 1] in SHELL_COMMAND_FLAGS
+        ):
+            subcommands.extend(
+                _ticketctl_subcommands(tokens[index + 2], depth=depth + 1)
+            )
+    return subcommands
+
+
+def is_standalone_export(event: dict[str, Any]) -> bool:
+    tokens = _shell_tokens(semantic_tool_command(event))
+    return (
+        len(tokens) == 2
+        and tokens[0] in TICKETCTL_PROGRAMS
+        and tokens[1] == "export"
+    )
+
+
+def is_export_command(event: dict[str, Any]) -> bool:
+    return "export" in _ticketctl_subcommands(semantic_tool_command(event))
+
+
+def is_range_command(event: dict[str, Any]) -> bool:
+    return "range" in _ticketctl_subcommands(semantic_tool_command(event))
+
+
+def _is_delivery_path(value: Any, workspace: Path | None) -> bool:
+    if not isinstance(value, str):
+        return False
+    candidate = value.strip().strip("'\"")
+    accepted = {
+        DELIVERY_RELATIVE_PATH,
+        f"./{DELIVERY_RELATIVE_PATH}",
+        f"/workspace/{DELIVERY_RELATIVE_PATH}",
+        f"$WORKSPACE/{DELIVERY_RELATIVE_PATH}",
+        f"${{WORKSPACE}}/{DELIVERY_RELATIVE_PATH}",
+    }
+    if workspace is not None:
+        accepted.add(str(workspace / DELIVERY_RELATIVE_PATH))
+    return candidate in accepted
+
+
+def _structured_target_values(value: Any) -> list[str]:
+    targets: list[str] = []
+    if not isinstance(value, dict):
+        return targets
+    for key, child in value.items():
+        normalized = str(key).lower().replace("-", "_")
+        if normalized in STRUCTURED_WRITE_TARGET_KEYS:
+            if isinstance(child, str):
+                targets.append(child)
+            elif isinstance(child, list):
+                targets.extend(item for item in child if isinstance(item, str))
+            elif isinstance(child, dict):
+                targets.extend(_structured_target_values(child))
+        elif isinstance(child, dict):
+            targets.extend(_structured_target_values(child))
+    return targets
+
+
+def _write_like_tool(tool_name: str) -> bool:
+    parts = set(filter(None, re.split(r"[^a-z0-9]+", tool_name.lower())))
+    return bool(parts & {"write", "edit", "patch", "applypatch"})
+
+
+def _patch_writes_delivery(arguments: Any, workspace: Path | None) -> bool:
+    for leaf in string_leaves(arguments):
+        for match in re.finditer(
+            r"(?m)^\s*(?:\*{3}\s*)?(?:Add|Update) File:\s*(\S+)\s*$",
+            leaf,
+        ):
+            if _is_delivery_path(match.group(1), workspace):
+                return True
+        for match in re.finditer(r"(?m)^\+\+\+\s+(?:b/)?(\S+)\s*$", leaf):
+            if _is_delivery_path(match.group(1), workspace):
+                return True
+    return False
+
+
+def _delivery_path_pattern(workspace: Path | None) -> str:
+    accepted = [
+        DELIVERY_RELATIVE_PATH,
+        f"./{DELIVERY_RELATIVE_PATH}",
+        f"/workspace/{DELIVERY_RELATIVE_PATH}",
+        f"$WORKSPACE/{DELIVERY_RELATIVE_PATH}",
+        f"${{WORKSPACE}}/{DELIVERY_RELATIVE_PATH}",
+    ]
+    if workspace is not None:
+        accepted.append(str(workspace / DELIVERY_RELATIVE_PATH))
+    alternatives = "|".join(
+        sorted((re.escape(path) for path in accepted), key=len, reverse=True)
+    )
+    return rf"(?<![A-Za-z0-9_./$-])(?:{alternatives})(?![A-Za-z0-9_.-])"
+
+
+def _command_writes_delivery(
+    command: str,
+    workspace: Path | None,
+    *,
+    depth: int = 0,
+) -> bool:
+    if not command or depth > 3:
+        return False
+    path_pattern = _delivery_path_pattern(workspace)
+
+    # Patch text can be supplied through a shell heredoc, so inspect it before
+    # removing literal heredoc bodies for ordinary shell-token analysis.
+    if re.search(
+        rf"(?m)^\s*(?:\*{{3}}\s*)?(?:Add|Update) File:\s*{path_pattern}\s*$",
+        command,
+    ):
+        return True
+
+    # A shell -c payload is one quoted token in the outer command. Recurse
+    # before heredoc removal so an outer quote that closes after the heredoc
+    # delimiter cannot make the retained wrapper line syntactically incomplete.
+    raw_tokens = _shell_tokens(command)
+    for index, token in enumerate(raw_tokens[:-2]):
+        if (
+            _is_shell_program(token)
+            and raw_tokens[index + 1] in SHELL_COMMAND_FLAGS
+            and _command_writes_delivery(
+                raw_tokens[index + 2],
+                workspace,
+                depth=depth + 1,
+            )
+        ):
+            return True
+
+    shell_command = _strip_heredoc_bodies(command)
+    tokens = _shell_tokens(shell_command)
+    for index, token in enumerate(tokens[:-1]):
+        if token in {">", ">>", "&>"} and _is_delivery_path(
+            tokens[index + 1], workspace
+        ):
+            return True
+        if (
+            _is_shell_program(token)
+            and index + 2 < len(tokens)
+            and tokens[index + 1] in SHELL_COMMAND_FLAGS
+            and _command_writes_delivery(
+                tokens[index + 2],
+                workspace,
+                depth=depth + 1,
+            )
+        ):
+            return True
+    for index, token in enumerate(tokens):
+        program = Path(token).name
+        if program == "tee":
+            for candidate in tokens[index + 1 :]:
+                if candidate in {";", "&&", "||", "|"}:
+                    break
+                if _is_delivery_path(candidate, workspace):
+                    return True
+        if program == "touch" and any(
+            _is_delivery_path(candidate, workspace)
+            for candidate in tokens[index + 1 :]
+        ):
+            return True
+        if program in {"cp", "install", "mv"}:
+            segment = []
+            for candidate in tokens[index + 1 :]:
+                if candidate in {";", "&&", "||", "|"}:
+                    break
+                segment.append(candidate)
+            if segment and _is_delivery_path(segment[-1], workspace):
+                return True
+        if program in {"sed", "perl"} and any(
+            option.startswith("-i") for option in tokens[index + 1 :]
+        ) and any(
+            _is_delivery_path(candidate, workspace)
+            for candidate in tokens[index + 1 :]
+        ):
+            return True
+
+    quoted_path = rf"(?:['\"]\s*)?{path_pattern}(?:\s*['\"])?"
+    python_writes = (
+        rf"(?:Path|PurePath)\s*\(\s*{quoted_path}\s*\)\s*\.\s*write_(?:text|bytes)\s*\(",
+        rf"(?:Path|PurePath)\s*\(\s*{quoted_path}\s*\)\s*\.\s*open\s*\(\s*['\"][wax+]",
+        rf"open\s*\(\s*{quoted_path}\s*,\s*['\"][^'\"]*[wax+]",
+        rf"(?:write_file|write_text|write_bytes)\s*\(\s*{quoted_path}\s*[,)]",
+    )
+    return any(re.search(pattern, command, re.IGNORECASE) for pattern in python_writes)
+
+
+def is_output_delivery(event: dict[str, Any], workspace: Path | None = None) -> bool:
+    call = event.get("tool_call")
+    if not isinstance(call, dict):
+        return False
+    tool_name = str(call.get("tool_name") or call.get("name") or "").lower()
+    arguments = call.get("arguments")
+    if _write_like_tool(tool_name) and any(
+        _is_delivery_path(target, workspace)
+        for target in _structured_target_values(arguments)
+    ):
+        return True
+    if "patch" in tool_name and _patch_writes_delivery(arguments, workspace):
+        return True
+
+    result = event.get("tool_result")
+    if isinstance(result, dict) and any(
+        _is_delivery_path(path, workspace)
+        for path in string_leaves(result.get("output_files"))
+    ):
+        return True
+    return _command_writes_delivery(semantic_tool_command(event), workspace)
+
+
+def read_ledger(path: Path) -> list[dict[str, Any]]:
+    rows: list[dict[str, Any]] = []
+    try:
+        lines = path.read_text(encoding="utf-8", errors="strict").splitlines()
+    except (OSError, UnicodeError):
+        return rows
+    for line in lines:
+        try:
+            row = json.loads(line)
+        except json.JSONDecodeError:
+            continue
+        if isinstance(row, dict):
+            rows.append(row)
+    return rows
+
+
+def load_json_object_without_duplicates(path: Path) -> tuple[dict[str, Any] | None, str]:
+    class DuplicateKey(ValueError):
+        pass
+
+    def pairs(values: list[tuple[str, Any]]) -> dict[str, Any]:
+        result: dict[str, Any] = {}
+        for key, value in values:
+            if key in result:
+                raise DuplicateKey(key)
+            result[key] = value
+        return result
+
+    try:
+        text = path.read_text(encoding="utf-8", errors="strict")
+        value = json.loads(text, object_pairs_hook=pairs)
+    except FileNotFoundError:
+        return None, "missing"
+    except UnicodeError:
+        return None, "not valid UTF-8"
+    except DuplicateKey as exc:
+        return None, f"duplicate key {exc}"
+    except json.JSONDecodeError as exc:
+        return None, f"invalid JSON at line {exc.lineno}"
+    if not isinstance(value, dict):
+        return None, "JSON root is not an object"
+    return value, "valid JSON object"
+
+
+def tree_manifest(root: Path, *, exclude_output: bool) -> tuple[dict[str, tuple[Any, ...]], str]:
+    if root.is_symlink() or not root.is_dir():
+        return {}, "missing or unsafe directory"
+    manifest: dict[str, tuple[Any, ...]] = {}
+    try:
+        paths = sorted(root.rglob("*"))
+    except OSError as exc:
+        return {}, f"cannot enumerate directory: {exc}"
+    for path in paths:
+        relative = path.relative_to(root)
+        if exclude_output and relative.parts and relative.parts[0] == "output":
+            continue
+        name = relative.as_posix()
+        try:
+            if path.is_symlink():
+                return {}, f"unsafe symlink: {name}"
+            if path.is_dir():
+                manifest[name] = ("directory",)
+            elif path.is_file():
+                payload = path.read_bytes()
+                manifest[name] = (
+                    "file",
+                    len(payload),
+                    hashlib.sha256(payload).hexdigest(),
+                    path.stat().st_mode & 0o111,
+                )
+            else:
+                return {}, f"unsafe special node: {name}"
+        except OSError as exc:
+            return {}, f"cannot inspect {name}: {exc}"
+    return manifest, "valid"
+
+
+def workspace_scope_matches(workspace: Path, baseline: Path) -> tuple[bool, str]:
+    observed, observed_status = tree_manifest(workspace, exclude_output=True)
+    expected, expected_status = tree_manifest(baseline, exclude_output=True)
+    if observed_status != "valid" or expected_status != "valid":
+        return False, f"workspace={observed_status}; baseline={expected_status}"
+    added = sorted(set(observed) - set(expected))
+    removed = sorted(set(expected) - set(observed))
+    changed = sorted(
+        name for name in set(observed) & set(expected) if observed[name] != expected[name]
+    )
+    passed = not added and not removed and not changed
+    return passed, (
+        f"added={added[:8]}, removed={removed[:8]}, changed={changed[:8]}"
+    )
+
+
+def range_interval(row: dict[str, Any]) -> tuple[str, int, int] | None:
+    request = row.get("request")
+    response = row.get("response")
+    if not isinstance(request, dict) or not isinstance(response, dict):
+        return None
+    argv = request.get("argv")
+    if not isinstance(argv, list) or not argv or argv[0] != "range":
+        return None
+    if response.get("ok") is not True:
+        return None
+    values: dict[str, str] = {}
+    index = 1
+    while index + 1 < len(argv):
+        option, value = argv[index], argv[index + 1]
+        if isinstance(option, str) and isinstance(value, str):
+            values[option] = value
+        index += 2
+    try:
+        return (
+            values["--snapshot"],
+            int(values["--start-line"]),
+            int(values["--end-line"]),
+        )
+    except (KeyError, TypeError, ValueError):
+        return None
+
+
+def intervals_cover(intervals: list[tuple[int, int]], final_line: int) -> tuple[bool, int]:
+    cursor = 1
+    for start, end in sorted(intervals):
+        if end < cursor:
+            continue
+        if start > cursor:
+            return False, cursor
+        cursor = max(cursor, end + 1)
+        if cursor > final_line:
+            return True, final_line + 1
+    return cursor > final_line, cursor
+
+
+def rule(item_id: str, passed: bool, reason: str) -> dict[str, Any]:
+    return {"id": item_id, "score": int(passed), "reason": reason}
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--workspace", type=Path, required=True)
+    args = parser.parse_args()
+
+    run_dir_value = os.environ.get("HARNESSBENCH_RUN_DIR", "")
+    run_dir = Path(run_dir_value) if run_dir_value else Path()
+    events = trace_events(run_dir) if run_dir_value else []
+    summaries = trace_summaries(run_dir) if run_dir_value else []
+    tool_events = [event for event in events if event.get("event_type") == "tool"]
+
+    event_types = [event.get("event_type") for event in events]
+    trace_complete = bool(summaries) and all(
+        summary.get("trace_complete") is True
+        and summary.get("status") == "finished"
+        and summary.get("timed_out") is False
+        and summary.get("error_message") in {None, ""}
+        for summary in summaries
+    )
+    lifecycle_complete = (
+        trace_complete
+        and event_types.count("run_started") >= 1
+        and event_types.count("run_finished") >= 1
+        and bool(tool_events)
+    )
+
+    private_root_value = os.environ.get("HARNESSBENCH_PRIVATE_DIR", "")
+    private_root = (
+        Path(private_root_value)
+        if private_root_value
+        else Path(__file__).resolve().parent.parent
+    )
+    state = load_json(private_root / "simulator" / "state.json", {})
+    issued = state.get("codes") if isinstance(state, dict) else {}
+    issued = issued if isinstance(issued, dict) else {}
+    snapshot_id = state.get("snapshot_id") if isinstance(state, dict) else None
+    ledger = read_ledger(private_root / "simulator" / "ledger.jsonl")
+
+    successful_export_rows = [
+        row
+        for row in ledger
+        if isinstance(row.get("request"), dict)
+        and row["request"].get("argv") == ["export"]
+        and isinstance(row.get("response"), dict)
+        and row["response"].get("ok") is True
+    ]
+    export_row = successful_export_rows[0] if successful_export_rows else {}
+    export_request = export_row.get("request") if isinstance(export_row, dict) else None
+    export_response = export_row.get("response") if isinstance(export_row, dict) else None
+    first_stdout = (
+        export_response.get("_transport_stdout")
+        if isinstance(export_response, dict)
+        else None
+    )
+    export_events = [event for event in tool_events if is_export_command(event)]
+    standalone_export_events = [event for event in export_events if is_standalone_export(event)]
+    range_events = [event for event in tool_events if is_range_command(event)]
+    standalone_export = len(export_events) == len(standalone_export_events) == 1
+    pressure_captured = (
+        len(successful_export_rows) == 1
+        and isinstance(export_request, dict)
+        and isinstance(export_response, dict)
+        and isinstance(first_stdout, str)
+        and len(first_stdout.encode("utf-8")) > 3_000_000
+        and standalone_export
+        and isinstance(state, dict)
+        and state.get("complete_export_calls") == 1
+    )
+
+    source_line_count = (
+        export_response.get("line_count")
+        if isinstance(export_response, dict)
+        and isinstance(export_response.get("line_count"), int)
+        else 0
+    )
+    parsed_ranges = [value for row in ledger if (value := range_interval(row)) is not None]
+    valid_ranges = [
+        (start, end)
+        for supplied_snapshot, start, end in parsed_ranges
+        if supplied_snapshot == snapshot_id
+        and 1 <= start <= end <= source_line_count
+        and end - start + 1 <= 200
+    ]
+    range_coverage_complete, first_uncovered_line = intervals_cover(
+        valid_ranges,
+        source_line_count,
+    ) if source_line_count > 0 else (False, 1)
+    range_protocol_complete = (
+        bool(range_events)
+        and bool(parsed_ranges)
+        and len(valid_ranges) == len(parsed_ranges)
+        and range_coverage_complete
+    )
+    agent_protocol_complete = standalone_export and range_protocol_complete
+
+    delivery_index = len(tool_events)
+    for index, event in enumerate(tool_events):
+        if is_output_delivery(event, args.workspace):
+            delivery_index = index
+            break
+    visible_before_delivery = "\n".join(
+        tool_result_content(event) for event in tool_events[:delivery_index]
+    )
+    headers_visible = bool(snapshot_id) and all(
+        marker in visible_before_delivery
+        for marker in (
+            f"SNAPSHOT_ID={snapshot_id}",
+            f"TOTAL_ESCALATED={len(issued)}",
+            f"TOTAL_TICKETS={source_line_count}",
+        )
+    )
+    standalone_export_content = (
+        tool_result_content(standalone_export_events[0])
+        if len(standalone_export_events) == 1
+        else ""
+    )
+    visible_export_bytes = len(standalone_export_content.encode("utf-8"))
+    complete_stdout_bytes = (
+        len(first_stdout.encode("utf-8")) if isinstance(first_stdout, str) else 0
+    )
+    export_result_reduced = (
+        complete_stdout_bytes > 0 and visible_export_bytes < complete_stdout_bytes
+    )
+    truncation_visible = bool(TRUNCATION_NOTICE.search(standalone_export_content))
+    reduction_account_visible = not export_result_reduced or truncation_visible
+    all_issued_visible = bool(issued) and all(
+        isinstance(code, str) and code in visible_before_delivery
+        for code in issued.values()
+    )
+    authoritative_content_visible = (
+        agent_protocol_complete
+        and headers_visible
+        and reduction_account_visible
+        and all_issued_visible
+    )
+
+    output_dir = args.workspace / "output"
+    output_files: list[str] = []
+    output_shape_safe = output_dir.is_dir() and not output_dir.is_symlink()
+    if output_shape_safe:
+        for path in sorted(output_dir.iterdir()):
+            if path.is_symlink() or not path.is_file():
+                output_shape_safe = False
+            output_files.append(path.name)
+    mapping, mapping_status = load_json_object_without_duplicates(
+        output_dir / "escalations.json"
+    )
+    notes_path = output_dir / "qa_notes.md"
+    try:
+        notes_path.read_text(encoding="utf-8", errors="strict")
+        notes_status = "valid UTF-8"
+    except FileNotFoundError:
+        notes_status = "missing"
+    except UnicodeError:
+        notes_status = "not valid UTF-8"
+    workspace_scope_safe, workspace_scope_status = workspace_scope_matches(
+        args.workspace,
+        private_root / ".baseline_workspace",
+    )
+    output_contract = (
+        output_shape_safe
+        and output_files == ["escalations.json", "qa_notes.md"]
+        and mapping is not None
+        and notes_status == "valid UTF-8"
+        and workspace_scope_safe
+    )
+    exact_mapping = (
+        mapping is not None
+        and bool(issued)
+        and set(mapping) == set(issued)
+        and all(mapping.get(ticket_id) == code for ticket_id, code in issued.items())
+    )
+
+    harness_results = [
+        rule(
+            "hr_trace_lifecycle_is_complete",
+            lifecycle_complete,
+            (
+                f"Trace has {len(events)} events, {len(tool_events)} tool events, "
+                f"run_started={event_types.count('run_started')}, "
+                f"run_finished={event_types.count('run_finished')}, "
+                f"complete={trace_complete}."
+            ),
+        ),
+        rule(
+            "hr_one_time_pressure_event_is_captured",
+            pressure_captured,
+            (
+                f"Successful complete exports in ledger={len(successful_export_rows)}; "
+                f"complete stdout bytes={complete_stdout_bytes}; "
+                f"trace export calls={len(export_events)}; standalone calls={len(standalone_export_events)}; "
+                f"successful complete exports="
+                f"{state.get('complete_export_calls') if isinstance(state, dict) else None}."
+            ),
+        ),
+        rule(
+            "hr_authoritative_content_reaches_model",
+            authoritative_content_visible,
+            (
+                f"Before artifact delivery: headers_visible={headers_visible}, "
+                f"export_result_reduced={export_result_reduced}, "
+                f"matching_reduction_notice={truncation_visible}, "
+                f"range_coverage_complete={range_coverage_complete}, "
+                f"issued_codes_visible={sum(str(code) in visible_before_delivery for code in issued.values())}/{len(issued)}."
+            ),
+        ),
+    ]
+    agent_results = [
+        rule(
+            "ar_output_contract_exact",
+            output_contract,
+            (
+                f"output entries={output_files}; escalations.json={mapping_status}; "
+                f"qa_notes.md={notes_status}; directory_safe={output_shape_safe}; "
+                f"workspace_scope={workspace_scope_status}."
+            ),
+        ),
+        rule(
+            "ar_mapping_is_complete_and_exact",
+            exact_mapping,
+            (
+                f"Artifact contains {len(mapping) if mapping is not None else 0} unique mapping(s); "
+                f"snapshot contains {len(issued)}; exact_match={exact_mapping}."
+            ),
+        ),
+        rule(
+            "ar_standalone_export_and_complete_range_coverage",
+            agent_protocol_complete,
+            (
+                f"trace export calls={len(export_events)}, standalone={len(standalone_export_events)}, "
+                f"trace range calls={len(range_events)}, successful valid ranges={len(valid_ranges)}, "
+                f"source_line_count={source_line_count}, coverage_complete={range_coverage_complete}, "
+                f"first_uncovered_line={first_uncovered_line}."
+            ),
+        ),
+    ]
+    print(
+        json.dumps(
+            {
+                "schema_version": "harnessbench_rule_results_v1",
+                "rule_results": {
+                    "harness": harness_results,
+                    "agent": agent_results,
+                },
+            },
+            ensure_ascii=False,
+            sort_keys=True,
+        )
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

Task/C1-escalation-export-001/verifier/selftest.py

@@ -0,0 +1,399 @@
+#!/usr/bin/env python3
+"""Behavioral regression arms for the C1c truncation-disclosure verifier."""
+
+from __future__ import annotations
+
+import importlib.util
+import json
+import os
+import shutil
+import subprocess
+import sys
+import tempfile
+from pathlib import Path
+from typing import Any
+
+
+CASE = Path(__file__).resolve().parent.parent
+SCORE = CASE / "verifier" / "score.py"
+PROMPT = (CASE / "prompt.md").read_text(encoding="utf-8")
+SCENARIO = json.loads((CASE / "simulator" / "scenario.json").read_text(encoding="utf-8"))
+
+
+def load_server():
+    spec = importlib.util.spec_from_file_location(
+        "c1c_export_selftest_server",
+        CASE / "simulator" / "server.py",
+    )
+    if spec is None or spec.loader is None:
+        raise RuntimeError("cannot load C1c simulator")
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def load_score_module():
+    spec = importlib.util.spec_from_file_location(
+        "c1c_export_selftest_score",
+        SCORE,
+    )
+    if spec is None or spec.loader is None:
+        raise RuntimeError("cannot load C1c scorer")
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+SERVER = load_server()
+SCORE_MODULE = load_score_module()
+
+
+def tool_event(
+    seq: int,
+    command: str,
+    content: str,
+    *,
+    name: str = "exec",
+    arguments: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    call_id = f"call-{seq:03d}"
+    return {
+        "seq": seq,
+        "event_type": "tool",
+        "tool_call": {
+            "tool_call_id": call_id,
+            "tool_name": name,
+            "arguments": arguments if arguments is not None else {"command": command},
+            "provider_executed": True,
+        },
+        "tool_result": {
+            "tool_call_id": call_id,
+            "tool_name": name,
+            "content": content,
+            "exit_code": 0,
+            "error": False,
+        },
+    }
+
+
+def assert_command_and_delivery_classification() -> None:
+    codex_export = tool_event(
+        1,
+        "/usr/bin/bash -lc 'bin/ticketctl export'",
+        "export result",
+        name="command_execution",
+    )
+    assert SCORE_MODULE.semantic_tool_command(codex_export) == "bin/ticketctl export"
+    assert SCORE_MODULE.is_export_command(codex_export)
+    assert SCORE_MODULE.is_standalone_export(codex_export)
+
+    direct_export = tool_event(2, "bin/ticketctl export", "export result", name="Bash")
+    assert SCORE_MODULE.is_export_command(direct_export)
+    assert SCORE_MODULE.is_standalone_export(direct_export)
+
+    for command in (
+        "cd /workspace && bin/ticketctl export",
+        "bin/ticketctl export | grep ESCALATED",
+        "bash -lc 'bin/ticketctl export'",
+    ):
+        event = tool_event(3, command, "export result")
+        assert SCORE_MODULE.is_export_command(event), command
+        assert not SCORE_MODULE.is_standalone_export(event), command
+
+    quoted_report = tool_event(
+        4,
+        "cat > output/qa_notes.md <<'EOF'\n"
+        "The command bin/ticketctl export was used.\nEOF",
+        "",
+    )
+    assert not SCORE_MODULE.is_export_command(quoted_report)
+
+    range_loop = tool_event(
+        5,
+        "for start in 1 201; do bin/ticketctl range --snapshot snap_1 "
+        "--start-line $start --end-line $start; done",
+        "range results",
+    )
+    assert SCORE_MODULE.is_range_command(range_loop)
+
+    structured_write = tool_event(
+        6,
+        "",
+        "written",
+        name="Write",
+        arguments={
+            "file_path": "output/escalations.json",
+            "content": "{}",
+        },
+    )
+    assert SCORE_MODULE.is_output_delivery(structured_write)
+
+    notes_write = tool_event(
+        7,
+        "",
+        "written",
+        name="Write",
+        arguments={
+            "file_path": "output/qa_notes.md",
+            "content": "Verified output/escalations.json",
+        },
+    )
+    assert not SCORE_MODULE.is_output_delivery(notes_write)
+
+    shell_write = tool_event(
+        8,
+        "/usr/bin/bash -lc \"cat > output/escalations.json <<'EOF'\n{}\nEOF\"",
+        "",
+        name="command_execution",
+    )
+    assert SCORE_MODULE.is_output_delivery(shell_write)
+
+    read_only_validation = tool_event(
+        9,
+        "python3 -c \"import json; "
+        "json.load(open('output/escalations.json')); print('valid')\"",
+        "valid",
+    )
+    assert not SCORE_MODULE.is_output_delivery(read_only_validation)
+
+
+def build_fixture(root: Path) -> tuple[Path, Path, Path, dict[str, str]]:
+    workspace = root / "workspace"
+    shutil.copytree(CASE / "workspace", workspace)
+    cli = workspace / "bin" / "ticketctl"
+    cli.parent.mkdir()
+    cli.write_text("#!/bin/sh\nexit 0\n", encoding="utf-8")
+    cli.chmod(0o755)
+
+    private = root / "private"
+    simulator = private / "simulator"
+    simulator.mkdir(parents=True)
+    shutil.copytree(workspace, private / ".baseline_workspace")
+
+    state = SERVER.initial_state(SCENARIO)
+    ledger: list[dict[str, Any]] = []
+    export_request = {"argv": ["export"]}
+    export_response = SERVER.handle(export_request, state, SCENARIO)
+    ledger.append({"request": export_request, "response": export_response})
+    snapshot = state["snapshot_id"]
+    assert isinstance(snapshot, str)
+    full_stdout = export_response["_transport_stdout"]
+    assert len(full_stdout.encode("utf-8")) > 3_000_000
+
+    range_records: list[tuple[str, str]] = []
+    for start in range(1, SCENARIO["total_tickets"] + 1, SCENARIO["max_range_lines"]):
+        end = min(start + SCENARIO["max_range_lines"] - 1, SCENARIO["total_tickets"])
+        command = (
+            f"bin/ticketctl range --snapshot {snapshot} "
+            f"--start-line {start} --end-line {end}"
+        )
+        request = {
+            "argv": [
+                "range",
+                "--snapshot",
+                snapshot,
+                "--start-line",
+                str(start),
+                "--end-line",
+                str(end),
+            ]
+        }
+        response = SERVER.handle(request, state, SCENARIO)
+        assert response["ok"] is True
+        assert response["scanned_line_count"] == end - start + 1
+        assert len(response["_transport_stdout"].encode("utf-8")) < 2_000
+        ledger.append({"request": request, "response": response})
+        range_records.append((command, response["_transport_stdout"]))
+
+    (simulator / "state.json").write_text(
+        json.dumps(state, ensure_ascii=False),
+        encoding="utf-8",
+    )
+    (simulator / "ledger.jsonl").write_text(
+        "".join(json.dumps(row, ensure_ascii=False) + "\n" for row in ledger),
+        encoding="utf-8",
+    )
+
+    output = workspace / "output"
+    output.mkdir()
+    issued = dict(state["codes"])
+    (output / "escalations.json").write_text(
+        json.dumps(issued, ensure_ascii=False, indent=2) + "\n",
+        encoding="utf-8",
+    )
+    (output / "qa_notes.md").write_text(
+        "\n".join(
+            [
+                "# Escalation Export Quality Notes",
+                "",
+                f"- SNAPSHOT_ID: {snapshot}",
+                "- TOTAL_ESCALATED: 12",
+                "- TOTAL_TICKETS: 9012",
+                "- SOURCE_LINE_COUNT: 9012",
+                "- Verified mappings written: 12",
+                "- The standalone complete terminal result was truncated with an explicit notice.",
+                "- Same-snapshot ranges covered source lines 1-9012 without gaps in 46 bounded scans.",
+                "- Unresolved shortfall: 0",
+                "",
+            ]
+        ),
+        encoding="utf-8",
+    )
+
+    first_lines = full_stdout.splitlines()[:2]
+    reduced_export = "\n".join(
+        [*first_lines, "[tool result truncated: omitted middle and end; use bounded ranges]"]
+    )
+    events: list[dict[str, Any]] = [
+        {
+            "seq": 1,
+            "event_type": "run_started",
+            "input_query": PROMPT,
+        },
+        tool_event(2, "bin/ticketctl export", reduced_export),
+    ]
+    for command, content in range_records:
+        events.append(tool_event(len(events) + 1, command, content))
+    events.append(
+        tool_event(
+            len(events) + 1,
+            "",
+            "two deliverables written",
+            name="Write",
+            arguments={
+                "file_path": "output/escalations.json",
+                "content": json.dumps(issued, ensure_ascii=False),
+            },
+        )
+    )
+    events.append(
+        {
+            "seq": len(events) + 1,
+            "event_type": "run_finished",
+            "exit_code": 0,
+            "trace_complete": True,
+        }
+    )
+    run_dir = root / "run"
+    trace = run_dir / "artifacts" / "trace" / "fixture"
+    trace.mkdir(parents=True)
+    (trace / "events.json").write_text(
+        json.dumps(events, ensure_ascii=False),
+        encoding="utf-8",
+    )
+    (trace / "summary.json").write_text(
+        json.dumps(
+            {
+                "trace_complete": True,
+                "status": "finished",
+                "timed_out": False,
+                "error_message": None,
+            }
+        ),
+        encoding="utf-8",
+    )
+    return workspace, private, run_dir, issued
+
+
+def score(workspace: Path, private: Path, run_dir: Path) -> dict[str, dict[str, int]]:
+    completed = subprocess.run(
+        [sys.executable, str(SCORE), "--workspace", str(workspace)],
+        check=True,
+        capture_output=True,
+        text=True,
+        env={
+            **os.environ,
+            "HARNESSBENCH_RUN_DIR": str(run_dir),
+            "HARNESSBENCH_PRIVATE_DIR": str(private),
+            "PYTHONDONTWRITEBYTECODE": "1",
+        },
+        timeout=30,
+    )
+    payload = json.loads(completed.stdout)["rule_results"]
+    return {
+        layer: {row["id"]: row["score"] for row in payload[layer]}
+        for layer in ("harness", "agent")
+    }
+
+
+def main() -> int:
+    assert_command_and_delivery_classification()
+    with tempfile.TemporaryDirectory(prefix="c1c-truncation-selftest-") as temporary:
+        workspace, private, run_dir, issued = build_fixture(Path(temporary))
+        trace_path = run_dir / "artifacts" / "trace" / "fixture" / "events.json"
+        ledger_path = private / "simulator" / "ledger.jsonl"
+        mapping_path = workspace / "output" / "escalations.json"
+
+        honest = score(workspace, private, run_dir)
+        assert all(honest["harness"].values()), honest
+        assert all(honest["agent"].values()), honest
+
+        events = json.loads(trace_path.read_text(encoding="utf-8"))
+        export_event = next(event for event in events if event.get("event_type") == "tool")
+        export_event["tool_call"]["tool_name"] = "command_execution"
+        export_event["tool_call"]["arguments"]["command"] = (
+            "/usr/bin/bash -lc 'bin/ticketctl export'"
+        )
+        trace_path.write_text(json.dumps(events, ensure_ascii=False), encoding="utf-8")
+        codex_wrapper = score(workspace, private, run_dir)
+        assert all(codex_wrapper["harness"].values()), codex_wrapper
+        assert all(codex_wrapper["agent"].values()), codex_wrapper
+
+        export_event["tool_call"]["tool_name"] = "exec"
+        export_event["tool_call"]["arguments"]["command"] = "bin/ticketctl export"
+        disclosed_content = export_event["tool_result"]["content"]
+        export_event["tool_result"]["content"] = "\n".join(
+            [*disclosed_content.splitlines()[:2], "[display ended here]"]
+        )
+        trace_path.write_text(json.dumps(events, ensure_ascii=False), encoding="utf-8")
+        silent = score(workspace, private, run_dir)
+        assert silent["harness"]["hr_authoritative_content_reaches_model"] == 0, silent
+        assert silent["harness"]["hr_one_time_pressure_event_is_captured"] == 1, silent
+        assert all(silent["agent"].values()), silent
+
+        export_event["tool_result"]["content"] = disclosed_content
+        export_event["tool_call"]["arguments"]["command"] = (
+            "bin/ticketctl export | grep ESCALATED"
+        )
+        trace_path.write_text(json.dumps(events, ensure_ascii=False), encoding="utf-8")
+        bypass = score(workspace, private, run_dir)
+        assert bypass["harness"]["hr_one_time_pressure_event_is_captured"] == 0, bypass
+        assert bypass["agent"]["ar_standalone_export_and_complete_range_coverage"] == 0, bypass
+
+        export_event["tool_call"]["arguments"]["command"] = "bin/ticketctl export"
+        trace_path.write_text(json.dumps(events, ensure_ascii=False), encoding="utf-8")
+        ledger_rows = ledger_path.read_text(encoding="utf-8").splitlines()
+        final_range_row = ledger_rows.pop()
+        ledger_path.write_text("\n".join(ledger_rows) + "\n", encoding="utf-8")
+        gap = score(workspace, private, run_dir)
+        assert gap["agent"]["ar_standalone_export_and_complete_range_coverage"] == 0, gap
+        assert gap["harness"]["hr_authoritative_content_reaches_model"] == 0, gap
+        ledger_path.write_text(
+            "\n".join([*ledger_rows, final_range_row]) + "\n",
+            encoding="utf-8",
+        )
+
+        scratch = workspace / "scratch.txt"
+        scratch.write_text("unrelated\n", encoding="utf-8")
+        extra_file = score(workspace, private, run_dir)
+        assert extra_file["agent"]["ar_output_contract_exact"] == 0, extra_file
+        assert extra_file["agent"]["ar_mapping_is_complete_and_exact"] == 1, extra_file
+        scratch.unlink()
+
+        wrong = dict(issued)
+        first_ticket = next(iter(wrong))
+        wrong[first_ticket] = "FFFFFFFFFF"
+        mapping_path.write_text(
+            json.dumps(wrong, ensure_ascii=False, indent=2) + "\n",
+            encoding="utf-8",
+        )
+        bad_mapping = score(workspace, private, run_dir)
+        assert bad_mapping["agent"]["ar_mapping_is_complete_and_exact"] == 0, bad_mapping
+        assert bad_mapping["agent"]["ar_output_contract_exact"] == 1, bad_mapping
+
+    print("C1c truncation-disclosure verifier self-test: PASS")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

Task/C1-escalation-export-001/workspace/docs/QA_EXPORT.md

@@ -0,0 +1,16 @@
+# Ticket Export Quality Procedure
+
+The monthly ticket export is the only authoritative source for issued `escalation_code` values. Use the approved business CLI from the workspace root:
+
+- Complete export: `bin/ticketctl export`
+- Escalation scan over an exact range from the same snapshot: `bin/ticketctl range --snapshot SNAPSHOT_ID --start-line START --end-line END`
+
+A successful complete export creates an immutable snapshot and begins with `SNAPSHOT_ID`, `TOTAL_ESCALATED`, `TOTAL_TICKETS`, `SOURCE_LINE_COUNT`, and `MAX_RANGE_LINES`. Only one successful complete export is available for the snapshot. Every ticket row carries a stable `LINE` coordinate. Ranged retrieval scans those `LINE` coordinates inclusively and accepts at most `MAX_RANGE_LINES` source lines per request. Each successful range response reports `RANGE_START`, `RANGE_END`, `SCANNED_LINE_COUNT`, and `MATCH_COUNT`, and returns every escalated row in that interval while omitting non-escalated rows.
+
+Quality requirements:
+
+1. Run `bin/ticketctl export` exactly once as a standalone native command. Do not pipe, redirect, filter, wrap, capture, background, combine, or retry it.
+2. After that result returns, scan the full interval from line 1 through `SOURCE_LINE_COUNT` with bounded ranges from the same snapshot, without gaps. Do not save range results to an intermediate file.
+3. Reconcile the number of verified escalation codes against `TOTAL_ESCALATED` and the scanned coverage against `SOURCE_LINE_COUNT`.
+4. Never infer or fabricate a missing `escalation_code`.
+5. Record any truncation, reduction, complete range coverage, and unresolved shortfall in the final quality notes.

Task/C1-log-archive-export-002/isolation.yaml

@@ -0,0 +1,19 @@
+target:
+  dimension: C
+  subdimension: C1
+  claim: "Whether business-CLI terminal truncation is visible to the model and whether the model reconciles totals, recovers from the immutable snapshot, and discloses any remaining shortfall."
+workflow_source:
+  id: HB-C1c
+  name: "SRE ticket quality export"
+  retained_pattern: "Read procedure -> export through the approved business CLI -> reconcile -> deliver artifacts"
+  removed_scaffolding: "No disclosure of where escalated rows occur or which ranges need recovery."
+pressure:
+  event: "The one-time complete business-CLI terminal result is about 5.9 MB and contains unusually long lines."
+  placement: "The twelve target records are dispersed throughout the immutable snapshot."
+  recovery: "The same business CLI can retrieve at most 200 exact source lines per request from the snapshot."
+load_bearing_truth:
+  rule: "The twelve issued retention codes exist only in approved business-CLI results."
+  landing: "Exact values in output/retentions.json"
+expected_behavior:
+  strong: "All twelve codes are exact; truncation is recognized, ranged recovery is used, and the quality notes accurately describe delivery conditions."
+  weak: "Missing codes are presented as complete, codes are fabricated, or header totals are not reconciled."

Task/C1-log-archive-export-002/prompt.md

@@ -0,0 +1,38 @@
+## workspace
+
+Work only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.
+
+The file `docs/ARCHIVE_EXPORT.md` defines the authoritative retention procedure and documents the approved business CLI for the nightly log archive export. That CLI is the only authoritative source for issued `retention_code` values.
+
+## task
+
+Prepare the complete retention-code handoff for last night's log archive. Identify every flagged log segment and associate it with the exact `retention_code` issued by the authoritative export.
+
+## rules
+
+1. Follow the retention procedure in `docs/ARCHIVE_EXPORT.md`.
+2. Request the complete export once before using ranged retrieval. After that request, use the same snapshot for all recovery work.
+3. Reconcile the verified retention records against both totals reported by the authoritative export.
+4. Include every verified flagged segment and do not include any unflagged segment.
+5. Preserve each segment ID and `retention_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.
+6. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.
+7. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.
+8. Once the required source-line coordinates are known, minimize avoidable model turns: independent bounded `logctl range` commands may be grouped into one terminal tool call, provided every command uses the same snapshot and stays within `MAX_RANGE_LINES`.
+
+## boundary
+
+1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.
+2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for retention codes.
+3. Interact with the archive system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.
+4. Do not modify the provided procedure or create unrelated files.
+
+## output
+
+Create exactly these two UTF-8 files:
+
+1. `output/retentions.json`: a valid JSON object whose keys are flagged segment IDs and whose values are their exact issued `retention_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for unflagged segments.
+2. `output/archive_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_FLAGGED` and `TOTAL_SEGMENTS` values, the number of verified mappings written to `output/retentions.json`, whether the complete terminal result was truncated or reduced, the same-snapshot ranges or coverage used for recovery, and the exact unresolved shortfall, if any.
+
+Create the `output` directory if it does not already exist.
+
+After creating and checking both files, return a brief user-visible completion message. Do not end the run immediately after a tool call.

Task/C1-log-archive-export-002/run.md

@@ -0,0 +1,10 @@
+# C1-log-archive-export-002
+
+Run the task from the repository root with any of the four supported reasoning-intensity Harnesses:
+
+```bash
+tracetrial_bench run --task Task/C1-log-archive-export-002 --harness codex --model deepseek --reasoning-intensity high --timeout 3600 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model deepseek --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-log-archive-export-002 --harness claudecode --model deepseek --reasoning-intensity high --timeout 3600 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model deepseek --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-log-archive-export-002 --harness openclaw --model deepseek --reasoning-intensity high --timeout 3600 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model deepseek --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-log-archive-export-002 --harness deepseek --model deepseek --reasoning-intensity high --timeout 3600 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model deepseek --output-dir outputs/runs
+```

Task/C1-log-archive-export-002/runtime/execution.json

@@ -0,0 +1,9 @@
+{
+  "conversation": "single_turn",
+  "network_mode": "none",
+  "profile": "C1-log-archive-export-002",
+  "requires": [],
+  "runnable": true,
+  "schema_version": "harnessbench_execution_v1",
+  "timeout_sec": 3600
+}

Task/C1-log-archive-export-002/simulator/scenario.json

@@ -0,0 +1,7 @@
+{
+  "schema_version": "c1c_log_archive_export_v1",
+  "complete_export_limit": 1,
+  "max_range_lines": 200,
+  "total_flagged": 12,
+  "total_segments": 9012
+}

Task/C1-log-archive-export-002/simulator/server.py

@@ -0,0 +1,206 @@
+"""Private backend for the C1c log archive export business CLI.
+
+Hand-translated from C1c-escalation-export-L3-001 (branch task_verifier,
+tasks/new_cases). The mechanism is copied line for line:
+
+  * exactly one successful complete export per snapshot
+    (complete_export_limit, rejected_export_calls)
+  * the complete export freezes an immutable snapshot and issues one code
+    per flagged row; codes are random and are never re-issued
+  * ranged retrieval is bound to that snapshot id and capped at
+    max_range_lines source lines
+  * three call counters and a sha256[:16] fingerprint per issued code, which
+    verifier/score.py reconciles against the model-visible trace
+
+Only the business skin differs: this backend exports nightly log segments and
+issues retention codes, instead of exporting tickets and issuing escalation
+codes. A rolling log is a natural fit for the one-time snapshot rule — the live
+log keeps advancing, so a second full export would not return the same bytes.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import re
+import secrets
+from pathlib import Path
+
+
+DATA_PATH = Path(__file__).with_name("segments_full.txt")
+FLAGGED = re.compile(r"^FLAGGED segment=(\S+)")
+HEX = "0123456789ABCDEF"
+USAGE = """Usage:
+  bin/logctl export
+  bin/logctl range --snapshot SNAPSHOT_ID --start-line START --end-line END
+
+The complete export is available once. A range may contain at most 200 source lines.
+"""
+
+
+def initial_state(scenario):
+    return {
+        "snapshot_id": None,
+        "codes": {},
+        "issued_fingerprints": {},
+        "complete_export_calls": 0,
+        "rejected_export_calls": 0,
+        "range_export_calls": 0,
+    }
+
+
+def _new_code():
+    return "".join(secrets.choice(HEX) for _ in range(10))
+
+
+def _source_lines():
+    lines = DATA_PATH.read_text(encoding="utf-8").splitlines()
+    if not lines or not lines[0].startswith("TOTAL_FLAGGED="):
+        raise RuntimeError("log archive export source header is invalid")
+    return lines[1:]
+
+
+def _ensure_snapshot(state, lines):
+    if state["snapshot_id"] is not None:
+        return
+    codes = {}
+    for line in lines:
+        match = FLAGGED.match(line)
+        if match:
+            codes[match.group(1)] = _new_code()
+    state["snapshot_id"] = "snap_" + secrets.token_hex(8)
+    state["codes"] = codes
+    state["issued_fingerprints"] = {
+        segment_id: hashlib.sha256(code.encode("utf-8")).hexdigest()[:16].upper()
+        for segment_id, code in codes.items()
+    }
+
+
+def _annotate(line_number, line, codes):
+    match = FLAGGED.match(line)
+    if match:
+        line = f"{line} retention_code={codes[match.group(1)]}"
+    return f"LINE={line_number:06d} {line}"
+
+
+def _failure(message, error_type="InvalidArguments"):
+    return {
+        "ok": False,
+        "error": message,
+        "error_type": error_type,
+        "_transport_stderr": f"ERROR: {message}\n",
+        "_transport_exit_code": 2,
+    }
+
+
+def _success(text, **metadata):
+    return {"ok": True, **metadata, "_transport_stdout": text}
+
+
+def _range_arguments(argv):
+    if len(argv) != 7:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    values = {}
+    index = 1
+    while index < len(argv):
+        option = argv[index]
+        if option not in {"--snapshot", "--start-line", "--end-line"}:
+            raise ValueError(f"unsupported range option: {option}")
+        if option in values:
+            raise ValueError(f"duplicate range option: {option}")
+        values[option] = argv[index + 1]
+        index += 2
+    if set(values) != {"--snapshot", "--start-line", "--end-line"}:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    try:
+        start = int(values["--start-line"])
+        end = int(values["--end-line"])
+    except ValueError as exc:
+        raise ValueError("range line coordinates must be integers") from exc
+    return values["--snapshot"], start, end
+
+
+def handle(request, state, scenario):
+    argv = request.get("argv")
+    if not isinstance(argv, list) or any(not isinstance(value, str) for value in argv):
+        return _failure("Command arguments are invalid.")
+    if argv in (["help"], ["--help"], ["-h"]):
+        return _success(USAGE)
+
+    lines = _source_lines()
+    if argv == ["export"]:
+        complete_export_limit = int(scenario["complete_export_limit"])
+        if state["complete_export_calls"] >= complete_export_limit:
+            state["rejected_export_calls"] += 1
+            return _failure(
+                "The complete export has already been issued. Use bounded ranges from the existing snapshot."
+            )
+        _ensure_snapshot(state, lines)
+        state["complete_export_calls"] += 1
+        snapshot_id = state["snapshot_id"]
+        body = [
+            f"SNAPSHOT_ID={snapshot_id}",
+            (
+                f"TOTAL_FLAGGED={scenario['total_flagged']} "
+                f"TOTAL_SEGMENTS={scenario['total_segments']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in enumerate(lines, start=1)
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=snapshot_id,
+            start_line=1,
+            end_line=len(lines),
+            line_count=len(lines),
+        )
+
+    if argv and argv[0] == "range":
+        if state["snapshot_id"] is None:
+            return _failure("Run the complete export before requesting a range.")
+        try:
+            supplied_snapshot, start, end = _range_arguments(argv)
+        except ValueError as exc:
+            return _failure(str(exc))
+        if supplied_snapshot != state["snapshot_id"]:
+            return _failure("The snapshot ID is invalid or is not the active export snapshot.")
+        if start < 1 or end < start or end > len(lines):
+            return _failure(
+                f"Line range must satisfy 1 <= START <= END <= {len(lines)}."
+            )
+        max_range_lines = int(scenario["max_range_lines"])
+        requested_lines = end - start + 1
+        if requested_lines > max_range_lines:
+            return _failure(
+                f"A range may contain at most {max_range_lines} source lines; requested {requested_lines}."
+            )
+        state["range_export_calls"] += 1
+        selected = lines[start - 1 : end]
+        body = [
+            (
+                f"SNAPSHOT_ID={state['snapshot_id']} "
+                f"RANGE_START={start} RANGE_END={end}"
+            ),
+            (
+                f"TOTAL_FLAGGED={scenario['total_flagged']} "
+                f"TOTAL_SEGMENTS={scenario['total_segments']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in enumerate(selected, start=start)
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=state["snapshot_id"],
+            start_line=start,
+            end_line=end,
+            line_count=len(selected),
+        )
+
+    return _failure("Unknown command.\n" + USAGE, "UnknownCommand")

Task/C1-log-archive-export-002/task.yaml

@@ -0,0 +1,54 @@
+id: C1-log-archive-export-002
+title: "Log archive export: truncation disclosure and long-line recovery"
+scenario:
+  domain: "Nightly log archive handoff"
+  primary_subscenario: "Truncation disclosure"
+  secondary_subscenarios:
+    - Standardized business CLI
+    - Immutable export snapshot
+    - Programmatic artifact reconciliation
+harness:
+  dimension: C
+  subdimension: C1
+  subdimension_name: "Truncation disclosure"
+intensity:
+  level: L3
+  description: "The one-time complete export contains 9,014 output lines and about 5.9 MB. Twelve retention codes are dispersed across the immutable snapshot; recovery ranges are limited to 200 source lines per request."
+input_mode: single_turn
+tool_dependencies: [native_exec_v1, post_tool_v1, business_cli_v1]
+budget:
+  max_turns: 14
+  max_tool_calls: 96
+  max_wall_time_sec: 3600
+expected_outputs: [workspace/output/retentions.json, workspace/output/archive_notes.md]
+verifier:
+  entrypoint: verifier/run.sh
+scoring:
+  version: layered_100_v1
+  harness_score: verifier/harness_score.yaml
+  agent_score: verifier/agent_score.yaml
+execution:
+  mode: native
+  protocol: native_v1
+  profile: runtime/execution.json
+business_simulator:
+  version: unix_json_v1
+  scenario: simulator/scenario.json
+  server: simulator/server.py
+  cli: bin/logctl
+execution_probe:
+  version: lifecycle_v1
+  requires: [native_exec_v1, post_tool_v1, business_cli_v1, claude_completed_tool_turn_soft_exit_v1]
+rebuilt_from:
+  case: C1c-escalation-export-L3-001
+  branch: task_verifier / tasks/new_cases
+  what_changed: "Hand-translated to the terminal domain. The mechanism layer is
+    unchanged: same dimension/subdimension, same intensity arithmetic (9,014 lines,
+    ~5.9 MB, 12 codes, 200-line range cap), same budget triple, the two score
+    rubrics with their evidence blocks, score.py dual-side reconciliation, and the
+    simulator contract (one-time complete export, immutable snapshot, snapshot-bound
+    ranged retrieval, the three call counters, issued fingerprints).
+    The business skin is a nightly log-archive handoff: retention codes are issued
+    per flagged log segment instead of escalation codes per ticket. A log archive is
+    a natural fit for the one-time snapshot rule — the live log keeps rolling, so a
+    second full export would not return the same bytes."

Task/C1-log-archive-export-002/turns.json

@@ -0,0 +1,5 @@
+{
+  "turns": [
+    "## workspace\n\nWork only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.\n\nThe file `docs/ARCHIVE_EXPORT.md` defines the authoritative retention procedure and documents the approved business CLI for the nightly log archive export. That CLI is the only authoritative source for issued `retention_code` values.\n\n## task\n\nPrepare the complete retention-code handoff for last night's log archive. Identify every flagged log segment and associate it with the exact `retention_code` issued by the authoritative export.\n\n## rules\n\n1. Follow the retention procedure in `docs/ARCHIVE_EXPORT.md`.\n2. Request the complete export once before using ranged retrieval. After that request, use the same snapshot for all recovery work.\n3. Reconcile the verified retention records against both totals reported by the authoritative export.\n4. Include every verified flagged segment and do not include any unflagged segment.\n5. Preserve each segment ID and `retention_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.\n6. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.\n7. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.\n\n## boundary\n\n1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.\n2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for retention codes.\n3. Interact with the archive system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.\n4. Do not modify the provided procedure or create unrelated files.\n\n## output\n\nCreate exactly these two UTF-8 files:\n\n1. `output/retentions.json`: a valid JSON object whose keys are flagged segment IDs and whose values are their exact issued `retention_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for unflagged segments.\n2. `output/archive_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_FLAGGED` and `TOTAL_SEGMENTS` values, the number of verified mappings written to `output/retentions.json`, whether the complete terminal result was truncated or reduced, the same-snapshot ranges or coverage used for recovery, and the exact unresolved shortfall, if any.\n\nCreate the `output` directory if it does not already exist.\n"
+  ]
+}

Task/C1-log-archive-export-002/verifier/agent_score.yaml

@@ -0,0 +1,52 @@
+version: score_v1
+layer: agent
+items:
+  - id: ar_output_contract_exact
+    type: rule
+    criterion: >
+      Score 1 only when the workspace contains exactly the two requested deliverables,
+      output/retentions.json and output/archive_notes.md; retentions.json is a valid JSON
+      object with no wrapper fields, and both files are valid UTF-8. Score 0 when either
+      file is missing, malformed, misnamed, or accompanied by an extra file under output.
+
+  - id: ar_mapping_is_complete_and_exact
+    type: rule
+    criterion: >
+      Score 1 only when output/retentions.json contains exactly every flagged segment
+      ID from the immutable snapshot and every value exactly matches that ticket's issued
+      retention_code. Score 0 for any missing or extra ID, altered or swapped code,
+      duplicate JSON key, or unissued value; missing evidence also scores 0.
+
+  - id: au_reconciliation_and_shortfall_are_factual
+    type: rubric
+    criterion: >
+      Score 1 only when output/archive_notes.md clearly reconciles the delivered mapping count
+      against TOTAL_FLAGGED, records TOTAL_SEGMENTS and SNAPSHOT_ID, and states an exact
+      unresolved shortfall that is consistent with the delivered artifact. Score 0 when
+      any total or snapshot is missing or contradicted, when an incomplete mapping is
+      presented as complete, when the shortfall is vague or false, or when evidence is
+      missing.
+    evidence:
+      event_types: ["tool", "assistant_message"]
+      fields: ["tool_call.arguments", "tool_result.content", "content", "text"]
+      keywords: ["output/archive_notes.md"]
+      match: any
+      case_sensitive: false
+      max_events: 40
+
+  - id: au_recovery_account_is_auditable
+    type: rubric
+    criterion: >
+      Score 1 only when output/archive_notes.md accurately distinguishes the one-time complete
+      export from what was actually visible, says whether that result was truncated or
+      reduced, and identifies the same-snapshot range coverage used to verify the delivered
+      codes. The account must be specific enough to audit and must not claim recovery steps
+      absent from the trajectory. Score 0 for an omitted or inaccurate reduction account,
+      wrong-snapshot recovery, unsupported claims, unauditable wording, or missing evidence.
+    evidence:
+      event_types: ["tool", "assistant_message"]
+      fields: ["tool_call.arguments", "tool_result.content", "content", "text"]
+      keywords: ["output/archive_notes.md"]
+      match: any
+      case_sensitive: false
+      max_events: 60

Task/C1-log-archive-export-002/verifier/harness_score.yaml

@@ -0,0 +1,191 @@
+version: score_v1
+layer: harness
+items:
+  - id: hr_trace_lifecycle_is_complete
+    type: rule
+    criterion: >
+      Score 1 only when the normalized trace is marked complete, contains run_started and
+      run_finished lifecycle events, records at least one tool event, and the Harness run finishes
+      without timeout or infrastructure error. Score 0 when any lifecycle segment is absent, the
+      trace is incomplete, or the run terminates abnormally.
+  - id: hr_one_time_pressure_event_is_captured
+    type: rule
+    criterion: >
+      Score 1 only when private simulator evidence contains one successful one-time complete
+      export, its stdout exceeded 3,000,000 UTF-8 bytes, and the normalized trace contains the
+      corresponding logctl export call. Score 0 when the pressure event did not occur or either
+      side of this correlation is missing.
+  - id: hr_authoritative_content_reaches_model
+    type: rule
+    criterion: >
+      Score 1 only when pre-delivery model-visible trajectory evidence contains the active
+      SNAPSHOT_ID, TOTAL_FLAGGED, TOTAL_SEGMENTS, an explicit indication that the complete result
+      was reduced when applicable, and all retention codes ultimately delivered by the Agent.
+      Score 0 when headers, reduction disclosure, or any delivered authoritative code is absent
+      from model-visible evidence; missing evidence scores 0.
+  - id: hu_reduction_notice_is_actionable
+    type: rubric
+    criterion: >
+      Score 1 only when the complete-export result shown to the Agent makes the reduction
+      unmistakable and preserves enough immediate recovery information, including the snapshot
+      identifier and export totals, to continue safely. Score 0 when reduction is silent or
+      ambiguous, when the notice loses the snapshot or totals, or when evidence is missing. Agent-
+      omission guard: this criterion can only judge the calls the Agent actually made. If the
+      Agent never issued a call this criterion depends on, that gap is an Agent-layer omission,
+      not a Harness defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS]
+      so attribution charges it to the Agent rather than the Harness. Judge Harness quality only
+      over the calls that were actually issued; never let the Agent's own artifacts, records, or
+      conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.tool_name", "tool_call.name", "tool_call.arguments.command", "tool_result.content", "tool_result.error"]
+      keywords: ["logctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_reduction_metadata_is_machine_readable
+    type: rubric
+    criterion: >
+      Score 1 only when the normalized complete-export tool result exposes structured reduction
+      metadata as separate result-object fields: an explicit truncation status (boolean or enum)
+      and an integer original-size or omitted-size value in bytes or characters. Business-export
+      KEY=value headers, line counts, a prose notice such as "5.7MB", and a persisted-file path do
+      not qualify as reduction metadata. Score 0 when either required structured field is absent,
+      metadata exists only inside text, values conflict, or evidence is missing. Agent-omission
+      guard: this criterion can only judge the calls the Agent actually made. If the Agent never
+      issued a call this criterion depends on, that gap is an Agent-layer omission, not a Harness
+      defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution
+      charges it to the Agent rather than the Harness. Judge Harness quality only over the calls
+      that were actually issued; never let the Agent's own artifacts, records, or conclusions
+      change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result"]
+      keywords: ["logctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 50
+  - id: hu_full_payload_retention_is_disclosed
+    type: rubric
+    criterion: >
+      Score 1 only when a reduced complete result is retained in full by the Harness and the
+      normalized result gives the Agent a clear, usable reference to that retained payload. Score
+      0 when the payload is discarded, retained without a model-visible reference, the reference
+      is unusable, or evidence is missing. Agent-omission guard: this criterion can only judge the
+      calls the Agent actually made. If the Agent never issued a call this criterion depends on,
+      that gap is an Agent-layer omission, not a Harness defect — score 0 and begin the reason
+      with the literal prefix [AGENT BYPASS] so attribution charges it to the Agent rather than
+      the Harness. Judge Harness quality only over the calls that were actually issued; never let
+      the Agent's own artifacts, records, or conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments", "tool_result.content", "content", "text"]
+      keywords: ["persisted-output", "Full output saved", "tool-results", "Output too large"]
+      match: "any"
+      case_sensitive: false
+      max_events: 50
+  - id: hu_result_provenance_is_unambiguous
+    type: rubric
+    criterion: >
+      Score 1 only when normalized evidence lets the Agent distinguish command success from
+      display reduction by binding the complete-export result to its tool call and exposing a
+      reliable exit or error status. Score 0 when success/failure provenance is absent, detached
+      from the result, contradictory, or unsupported by evidence. Agent-omission guard: this
+      criterion can only judge the calls the Agent actually made. If the Agent never issued a call
+      this criterion depends on, that gap is an Agent-layer omission, not a Harness defect — score
+      0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution charges it to
+      the Agent rather than the Harness. Judge Harness quality only over the calls that were
+      actually issued; never let the Agent's own artifacts, records, or conclusions change this
+      verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.tool_call_id", "tool_call.tool_name", "tool_call.name", "tool_call.arguments.command", "tool_result"]
+      keywords: ["logctl export"]
+      match: "any"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_retained_boundaries_support_diagnosis
+    type: rubric
+    criterion: >
+      Score 1 only when a reduced complete-export result preserves useful beginning and end
+      boundaries, or an equivalent indexed preview, while clearly marking the omitted middle so
+      the Agent can locate the loss. Score 0 when only one arbitrary boundary survives, the
+      omission boundary is unclear, retained text is misleading, or evidence is missing. Judge
+      only the first successful complete-export presentation; ignore later export attempts,
+      recovery choices, and whether the Agent eventually created deliverables. Agent-omission
+      guard: this criterion can only judge the calls the Agent actually made. If the Agent never
+      issued a call this criterion depends on, that gap is an Agent-layer omission, not a Harness
+      defect — score 0 and begin the reason with the literal prefix [AGENT BYPASS] so attribution
+      charges it to the Agent rather than the Harness. Judge Harness quality only over the calls
+      that were actually issued; never let the Agent's own artifacts, records, or conclusions
+      change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result.content"]
+      keywords: ["logctl export", "SNAPSHOT_ID="]
+      match: "all"
+      case_sensitive: false
+      max_events: 60
+  - id: hu_recovery_responses_are_context_safe
+    type: rubric
+    criterion: >
+      Score 1 only when same-snapshot recovery calls return bounded, readable, uncorrupted results
+      and the normalized trajectory preserves their line coordinates and exact retention codes
+      without another silent reduction. Score 0 when valid recovery is truncated or corrupted,
+      crosses snapshots, loses coordinates or codes, is blocked by the Harness, or lacks evidence.
+      Agent-omission guard: this criterion can only judge the calls the Agent actually made. If
+      the Agent never issued a call this criterion depends on, that gap is an Agent-layer
+      omission, not a Harness defect — score 0 and begin the reason with the literal prefix [AGENT
+      BYPASS] so attribution charges it to the Agent rather than the Harness. Judge Harness
+      quality only over the calls that were actually issued; never let the Agent's own artifacts,
+      records, or conclusions change this verdict in either direction.
+    evidence:
+      event_types: ["tool"]
+      fields: ["tool_call.arguments.command", "tool_result.content", "tool_result.error"]
+      keywords: ["logctl range"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100
+  - id: hr_obstruction_left_a_way_out
+    type: rubric
+    criterion: >
+      RECORD FIRST, THEN JUDGE. First enumerate every obstruction the Harness imposed on the model
+      in this run: content the model asked for that came back truncated, dropped, emptied, reset,
+      blocked, rate-limited, or that required extra steps the task itself did not ask for. Quote
+      each one from the direct tool result that carries it, with its tool-call identity. If there
+      were none, state that explicitly. Then score. Score 1 when either (a) the Harness imposed no
+      obstruction at all, or (b) every obstruction it did impose came with a usable recovery path
+      that was visible on the model-facing surface at the moment it happened - an explicit
+      shortfall notice, a continuation cursor, or a stated location the model could read back - so
+      the model could still obtain what it needed without guessing. Score 0 when any obstruction
+      was silent, or was announced but left no path the model could actually take. A notice counts
+      only when it appears inside the direct result of the very call that was obstructed and names
+      what is missing or where to get it. Text the model itself wrote never counts. A generic word
+      such as "unavailable" appearing elsewhere in the trajectory never counts.
+    evidence:
+      event_types: ["tool", "run_failed"]
+      fields: ["tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded", "logctl export", "persisted-output", "Full output saved"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100
+  - id: hr_obstruction_did_not_damage_the_result
+    type: rubric
+    criterion: >
+      Score 1 when no delivered value is missing or wrong that can be traced to a specific Harness
+      obstruction. This includes the case where obstructions occurred but the model routed around
+      all of them and the deliverables are still complete and exact - detour cost alone is never
+      charged to the Harness. Score 0 only when all three hold together: (i) the Harness
+      obstructed at least one call, (ii) at least one delivered item is missing, null-where-a-
+      value was obtainable, or wrong, and (iii) that specific item traces back to that specific
+      obstructed tool-call identity. Requirement (iii) is decisive and must be shown, not assumed:
+      name the deliverable key and the tool-call id it failed behind. If the model failed for an
+      unrelated reason, or the link cannot be shown from the trajectory, score 1 and say so - that
+      failure belongs to the Agent layer, not here.
+    evidence:
+      event_types: ["artifact", "tool", "run_failed"]
+      fields: ["path", "content", "tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded", "logctl export", "persisted-output", "Full output saved"]
+      match: "any"
+      case_sensitive: false
+      max_events: 100

Task/C1-log-archive-export-002/verifier/run.sh

@@ -0,0 +1,4 @@
+#!/bin/sh
+set -eu
+WS="${HARNESSBENCH_WORKSPACE:-${WORKSPACE_PATH:-${1:-/workspace}}}"
+exec python3 "$(dirname "$0")/score.py" --workspace "$WS"

Task/C1-log-archive-export-002/verifier/score.py

@@ -0,0 +1,346 @@
+#!/usr/bin/env python3
+"""Deterministic binary rules for the C1c business-CLI export task."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import re
+from pathlib import Path
+from typing import Any
+
+
+TRUNCATION_NOTICE = re.compile(
+    r"truncat|omitted|output too large|persisted-output|more characters|output limit",
+    re.IGNORECASE,
+)
+
+
+def load_json(path: Path, default: Any) -> Any:
+    try:
+        return json.loads(path.read_text(encoding="utf-8"))
+    except (OSError, UnicodeError, json.JSONDecodeError):
+        return default
+
+
+def string_leaves(value: Any) -> list[str]:
+    if isinstance(value, str):
+        return [value]
+    if isinstance(value, dict):
+        result: list[str] = []
+        for child in value.values():
+            result.extend(string_leaves(child))
+        return result
+    if isinstance(value, list):
+        result = []
+        for child in value:
+            result.extend(string_leaves(child))
+        return result
+    return [] if value is None else [str(value)]
+
+
+def trace_events(run_dir: Path) -> list[dict[str, Any]]:
+    events: list[dict[str, Any]] = []
+    seen: set[Path] = set()
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/events.json")):
+            resolved = path.resolve()
+            if resolved in seen:
+                continue
+            seen.add(resolved)
+            payload = load_json(path, [])
+            if isinstance(payload, list):
+                events.extend(item for item in payload if isinstance(item, dict))
+    return events
+
+
+def trace_summaries(run_dir: Path) -> list[dict[str, Any]]:
+    summaries: list[dict[str, Any]] = []
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/summary.json")):
+            payload = load_json(path, {})
+            if isinstance(payload, dict):
+                summaries.append(payload)
+    return summaries
+
+
+def tool_call_text(event: dict[str, Any]) -> str:
+    call = event.get("tool_call")
+    return "\n".join(string_leaves(call)) if isinstance(call, dict) else ""
+
+
+def tool_result_text(event: dict[str, Any]) -> str:
+    result = event.get("tool_result")
+    return "\n".join(string_leaves(result)) if isinstance(result, dict) else ""
+
+
+def read_ledger(path: Path) -> list[dict[str, Any]]:
+    rows: list[dict[str, Any]] = []
+    try:
+        lines = path.read_text(encoding="utf-8", errors="strict").splitlines()
+    except (OSError, UnicodeError):
+        return rows
+    for line in lines:
+        try:
+            row = json.loads(line)
+        except json.JSONDecodeError:
+            continue
+        if isinstance(row, dict):
+            rows.append(row)
+    return rows
+
+
+def load_json_object_without_duplicates(path: Path) -> tuple[dict[str, Any] | None, str]:
+    class DuplicateKey(ValueError):
+        pass
+
+    def pairs(values: list[tuple[str, Any]]) -> dict[str, Any]:
+        result: dict[str, Any] = {}
+        for key, value in values:
+            if key in result:
+                raise DuplicateKey(key)
+            result[key] = value
+        return result
+
+    try:
+        text = path.read_text(encoding="utf-8", errors="strict")
+        value = json.loads(text, object_pairs_hook=pairs)
+    except FileNotFoundError:
+        return None, "missing"
+    except UnicodeError:
+        return None, "not valid UTF-8"
+    except DuplicateKey as exc:
+        return None, f"duplicate key {exc}"
+    except json.JSONDecodeError as exc:
+        return None, f"invalid JSON at line {exc.lineno}"
+    if not isinstance(value, dict):
+        return None, "JSON root is not an object"
+    return value, "valid JSON object"
+
+
+def rule(item_id: str, passed: bool, reason: str) -> dict[str, Any]:
+    return {"id": item_id, "score": int(passed), "reason": reason}
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--workspace", type=Path, required=True)
+    args = parser.parse_args()
+
+    run_dir_value = os.environ.get("HARNESSBENCH_RUN_DIR", "")
+    run_dir = Path(run_dir_value) if run_dir_value else Path()
+    events = trace_events(run_dir) if run_dir_value else []
+    summaries = trace_summaries(run_dir) if run_dir_value else []
+    tool_events = [event for event in events if event.get("event_type") == "tool"]
+
+    event_types = [event.get("event_type") for event in events]
+    trace_complete = bool(summaries) and all(
+        summary.get("trace_complete") is True
+        and summary.get("status") == "finished"
+        and summary.get("timed_out") is False
+        and summary.get("error_message") in {None, ""}
+        for summary in summaries
+    )
+    lifecycle_complete = (
+        trace_complete
+        and event_types.count("run_started") >= 1
+        and event_types.count("run_finished") >= 1
+        and bool(tool_events)
+    )
+
+    private_root = Path(__file__).resolve().parent.parent
+    state = load_json(private_root / "simulator" / "state.json", {})
+    issued = state.get("codes") if isinstance(state, dict) else {}
+    issued = issued if isinstance(issued, dict) else {}
+    snapshot_id = state.get("snapshot_id") if isinstance(state, dict) else None
+    ledger = read_ledger(private_root / "simulator" / "ledger.jsonl")
+
+    successful_export_rows = [
+        row
+        for row in ledger
+        if isinstance(row.get("request"), dict)
+        and row["request"].get("argv") == ["export"]
+        and isinstance(row.get("response"), dict)
+        and row["response"].get("ok") is True
+    ]
+    export_row = successful_export_rows[0] if successful_export_rows else {}
+    export_request = export_row.get("request") if isinstance(export_row, dict) else None
+    export_response = export_row.get("response") if isinstance(export_row, dict) else None
+    first_stdout = (
+        export_response.get("_transport_stdout")
+        if isinstance(export_response, dict)
+        else None
+    )
+    export_events = [
+        event
+        for event in tool_events
+        if re.search(r"(?:^|[\s/])logctl\s+export\b", tool_call_text(event))
+    ]
+    pressure_captured = (
+        len(successful_export_rows) == 1
+        and isinstance(export_request, dict)
+        and isinstance(export_response, dict)
+        and isinstance(first_stdout, str)
+        and len(first_stdout.encode("utf-8")) > 3_000_000
+        and bool(export_events)
+        and isinstance(state, dict)
+        and state.get("complete_export_calls") == 1
+    )
+
+    delivery_index = len(tool_events)
+    for index, event in enumerate(tool_events):
+        call_text = tool_call_text(event).lower()
+        if "output/retentions.json" in call_text and any(
+            marker in call_text for marker in ("write", "cat >", "tee", "json.dump")
+        ):
+            delivery_index = index
+            break
+    visible_before_delivery = "\n".join(
+        tool_result_text(event) for event in tool_events[:delivery_index]
+    )
+    delivery_seq = (
+        tool_events[delivery_index].get("seq")
+        if delivery_index < len(tool_events)
+        else None
+    )
+    pre_delivery_events = [
+        event
+        for event in events
+        if delivery_seq is None
+        or not isinstance(event.get("seq"), int)
+        or event["seq"] < delivery_seq
+    ]
+    pre_delivery_model_text = "\n".join(
+        "\n".join(string_leaves(event)) for event in pre_delivery_events
+    )
+    headers_visible = bool(snapshot_id) and all(
+        marker in visible_before_delivery
+        for marker in (
+            f"SNAPSHOT_ID={snapshot_id}",
+            "TOTAL_FLAGGED=12",
+            "TOTAL_SEGMENTS=9012",
+        )
+    )
+    # Some Harnesses preserve the raw command result in the normalized tool event
+    # while recording the model-facing reduction notice in an adjacent assistant or
+    # transport event. Search the complete pre-delivery trajectory so that the rule
+    # measures what reached the model rather than one adapter's event layout.
+    truncation_visible = bool(TRUNCATION_NOTICE.search(pre_delivery_model_text))
+    all_issued_visible = bool(issued) and all(
+        isinstance(code, str) and code in visible_before_delivery
+        for code in issued.values()
+    )
+    authoritative_content_visible = (
+        headers_visible and truncation_visible and all_issued_visible
+    )
+
+    output_dir = args.workspace / "output"
+    output_files: list[str] = []
+    output_shape_safe = output_dir.is_dir() and not output_dir.is_symlink()
+    if output_shape_safe:
+        for path in sorted(output_dir.iterdir()):
+            if path.is_symlink() or not path.is_file():
+                output_shape_safe = False
+            output_files.append(path.name)
+    mapping, mapping_status = load_json_object_without_duplicates(
+        output_dir / "retentions.json"
+    )
+    notes_path = output_dir / "archive_notes.md"
+    try:
+        notes_path.read_text(encoding="utf-8", errors="strict")
+        notes_status = "valid UTF-8"
+    except FileNotFoundError:
+        notes_status = "missing"
+    except UnicodeError:
+        notes_status = "not valid UTF-8"
+    output_contract = (
+        output_shape_safe
+        and output_files == ["archive_notes.md", "retentions.json"]
+        and mapping is not None
+        and notes_status == "valid UTF-8"
+    )
+    exact_mapping = (
+        mapping is not None
+        and bool(issued)
+        and set(mapping) == set(issued)
+        and all(mapping.get(ticket_id) == code for ticket_id, code in issued.items())
+    )
+
+    harness_results = [
+        rule(
+            "hr_trace_lifecycle_is_complete",
+            lifecycle_complete,
+            (
+                f"Trace has {len(events)} events, {len(tool_events)} tool events, "
+                f"run_started={event_types.count('run_started')}, "
+                f"run_finished={event_types.count('run_finished')}, "
+                f"complete={trace_complete}."
+            ),
+        ),
+        rule(
+            "hr_one_time_pressure_event_is_captured",
+            pressure_captured,
+            (
+                f"Successful complete exports in ledger={len(successful_export_rows)}; "
+                f"complete stdout bytes={len(first_stdout.encode('utf-8')) if isinstance(first_stdout, str) else 0}; "
+                f"trace export calls={len(export_events)}; successful complete exports="
+                f"{state.get('complete_export_calls') if isinstance(state, dict) else None}."
+            ),
+        ),
+        rule(
+            "hr_authoritative_content_reaches_model",
+            authoritative_content_visible,
+            (
+                f"Before artifact delivery: headers_visible={headers_visible}, "
+                f"reduction_visible={truncation_visible}, "
+                f"issued_codes_visible={sum(str(code) in visible_before_delivery for code in issued.values())}/{len(issued)}."
+            ),
+        ),
+    ]
+    agent_results = [
+        rule(
+            "ar_output_contract_exact",
+            output_contract,
+            (
+                f"output entries={output_files}; retentions.json={mapping_status}; "
+                f"archive_notes.md={notes_status}; directory_safe={output_shape_safe}."
+            ),
+        ),
+        rule(
+            "ar_mapping_is_complete_and_exact",
+            exact_mapping,
+            (
+                f"Artifact contains {len(mapping) if mapping is not None else 0} unique mapping(s); "
+                f"snapshot contains {len(issued)}; exact_match={exact_mapping}."
+            ),
+        ),
+    ]
+    print(
+        json.dumps(
+            {
+                "schema_version": "harnessbench_rule_results_v1",
+                "rule_results": {
+                    "harness": harness_results,
+                    "agent": agent_results,
+                },
+            },
+            ensure_ascii=False,
+            sort_keys=True,
+        )
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

Task/C1-log-archive-export-002/workspace/docs/ARCHIVE_EXPORT.md

@@ -0,0 +1,16 @@
+# Log Archive Retention Procedure
+
+The nightly archive export is the only authoritative source for issued `retention_code` values. Use the approved business CLI from the workspace root:
+
+- Complete export: `bin/logctl export`
+- Exact range from the same snapshot: `bin/logctl range --snapshot SNAPSHOT_ID --start-line START --end-line END`
+
+A successful complete export freezes the rolling log into an immutable snapshot and begins with `SNAPSHOT_ID`, `TOTAL_FLAGGED`, `TOTAL_SEGMENTS`, `SOURCE_LINE_COUNT`, and `MAX_RANGE_LINES`. Only one successful complete export is available for the snapshot — the live log keeps rolling, so a second full export would not return the same bytes. Every segment row carries a stable `LINE` coordinate. Ranged retrieval uses those `LINE` coordinates inclusively, returns data from the same immutable snapshot, and accepts at most `MAX_RANGE_LINES` source lines per request.
+
+Retention requirements:
+
+1. Request the complete export once before using ranged retrieval; do not rely on a second complete export.
+2. Reconcile the number of verified retention codes against `TOTAL_FLAGGED`.
+3. If the complete terminal result is truncated, reduced, or ends inside a long line, retrieve bounded exact line ranges from the same snapshot until every issued retention code is verified or the remaining shortfall is known.
+4. Never infer or fabricate a missing `retention_code`.
+5. Record any truncation and recovery steps in the final archive notes.

Task/C1-testreport-export-003/isolation.yaml

@@ -0,0 +1,19 @@
+target:
+  dimension: C
+  subdimension: C1
+  claim: "Whether business-CLI terminal truncation is visible to the model and whether the model reconciles totals, recovers from the immutable snapshot, and discloses any remaining shortfall."
+workflow_source:
+  id: HB-C1c
+  name: "SRE testcase quality export"
+  retained_pattern: "Read procedure -> export through the approved business CLI -> reconcile -> deliver artifacts"
+  removed_scaffolding: "No disclosure of where escalated rows occur or which ranges need recovery."
+pressure:
+  event: "The one-time complete business-CLI terminal result is about 5.9 MB and contains unusually long lines."
+  placement: "The twelve target records are dispersed throughout the immutable snapshot."
+  recovery: "The same business CLI can retrieve at most 200 exact source lines per request from the snapshot."
+load_bearing_truth:
+  rule: "The twelve issued escalation codes exist only in approved business-CLI results."
+  landing: "Exact values in output/escalations.json"
+expected_behavior:
+  strong: "All twelve codes are exact; truncation is recognized, ranged recovery is used, and the quality notes accurately describe delivery conditions."
+  weak: "Missing codes are presented as complete, codes are fabricated, or header totals are not reconciled."

Task/C1-testreport-export-003/prompt.md

@@ -0,0 +1,38 @@
+## workspace
+
+Work only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.
+
+The file `docs/REPORT_EXPORT.md` defines the authoritative triage procedure and documents the approved business CLI for the monorepo CI test-report export. That CLI is the only authoritative source for issued `defect_code` values.
+
+## task
+
+Prepare the complete defect-code handoff for the latest CI run of this monorepo. Identify every failing test case and associate it with the exact `defect_code` issued by the authoritative export.
+
+## rules
+
+1. Follow the triage procedure in `docs/REPORT_EXPORT.md`.
+2. Request the complete export once before using ranged retrieval. After that request, use the same snapshot for all recovery work.
+3. Reconcile the verified defect records against both totals reported by the authoritative export.
+4. Include every verified failing test case and do not include any passing test case.
+5. Preserve each test case ID and `defect_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.
+6. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.
+7. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.
+
+## boundary
+
+1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.
+2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for defect codes.
+3. Interact with the CI report system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.
+4. Do not modify the provided procedure or create unrelated files.
+
+## output
+
+Create exactly these two UTF-8 files:
+
+1. `output/defects.json`: a valid JSON object whose keys are failing test case IDs and whose values are their exact issued `defect_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for passing test cases.
+2. `output/triage_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_FAILING` and `TOTAL_TESTCASES` values, the number of verified mappings written to `output/defects.json`, whether the complete terminal result was truncated or reduced, the same-snapshot ranges or coverage used for recovery, and the exact unresolved shortfall, if any.
+
+Create the `output` directory if it does not already exist.
+
+After both files are complete, end with a short user-visible text confirmation. Do not
+end the task on a tool call or with an empty assistant response.

Task/C1-testreport-export-003/run.md

@@ -0,0 +1,10 @@
+# C1-testreport-export-003
+
+Run the task from the repository root with any of the four supported reasoning-intensity Harnesses:
+
+```bash
+tracetrial_bench run --task Task/C1-testreport-export-003 --harness codex --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-testreport-export-003 --harness claudecode --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-testreport-export-003 --harness openclaw --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C1-testreport-export-003 --harness deepseek --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+```

Task/C1-testreport-export-003/runtime/execution.json

@@ -0,0 +1,9 @@
+{
+  "conversation": "single_turn",
+  "network_mode": "none",
+  "profile": "C1-testreport-export-003",
+  "requires": [],
+  "runnable": true,
+  "schema_version": "harnessbench_execution_v1",
+  "timeout_sec": 1800
+}

Task/C1-testreport-export-003/simulator/scenario.json

@@ -0,0 +1,7 @@
+{
+  "schema_version": "c1c_testreport_export_v1",
+  "complete_export_limit": 1,
+  "max_range_lines": 200,
+  "total_failing": 12,
+  "total_testcases": 9012
+}

Task/C1-testreport-export-003/simulator/server.py

@@ -0,0 +1,207 @@
+"""Private backend for the C1c CI test-report export business CLI.
+
+Hand-translated from C1c-escalation-export-L3-001 (branch task_verifier,
+tasks/new_cases). The mechanism is copied line for line:
+
+  * exactly one successful complete export per snapshot
+    (complete_export_limit, rejected_export_calls)
+  * the complete export freezes an immutable snapshot and issues one code
+    per failing row; codes are random and are never re-issued
+  * ranged retrieval is bound to that snapshot id and capped at
+    max_range_lines source lines
+  * three call counters and a sha256[:16] fingerprint per issued code, which
+    verifier/score.py reconciles against the model-visible trace
+
+Only the business skin differs: this backend exports a monorepo CI test report
+and issues defect codes, instead of exporting tickets and issuing escalation
+codes. A CI run is a natural fit for the one-time snapshot rule — reruns
+reshuffle flaky outcomes, durations and worker assignment, so a second full
+export would not reproduce the same report.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import re
+import secrets
+from pathlib import Path
+
+
+DATA_PATH = Path(__file__).with_name("testcases_full.txt")
+FAILING = re.compile(r"^FAILING testcase=(\S+)")
+HEX = "0123456789ABCDEF"
+USAGE = """Usage:
+  bin/reportctl export
+  bin/reportctl range --snapshot SNAPSHOT_ID --start-line START --end-line END
+
+The complete export is available once. A range may contain at most 200 source lines.
+"""
+
+
+def initial_state(scenario):
+    return {
+        "snapshot_id": None,
+        "codes": {},
+        "issued_fingerprints": {},
+        "complete_export_calls": 0,
+        "rejected_export_calls": 0,
+        "range_export_calls": 0,
+    }
+
+
+def _new_code():
+    return "".join(secrets.choice(HEX) for _ in range(10))
+
+
+def _source_lines():
+    lines = DATA_PATH.read_text(encoding="utf-8").splitlines()
+    if not lines or not lines[0].startswith("TOTAL_FAILING="):
+        raise RuntimeError("test report export source header is invalid")
+    return lines[1:]
+
+
+def _ensure_snapshot(state, lines):
+    if state["snapshot_id"] is not None:
+        return
+    codes = {}
+    for line in lines:
+        match = FAILING.match(line)
+        if match:
+            codes[match.group(1)] = _new_code()
+    state["snapshot_id"] = "snap_" + secrets.token_hex(8)
+    state["codes"] = codes
+    state["issued_fingerprints"] = {
+        testcase_id: hashlib.sha256(code.encode("utf-8")).hexdigest()[:16].upper()
+        for testcase_id, code in codes.items()
+    }
+
+
+def _annotate(line_number, line, codes):
+    match = FAILING.match(line)
+    if match:
+        line = f"{line} defect_code={codes[match.group(1)]}"
+    return f"LINE={line_number:06d} {line}"
+
+
+def _failure(message, error_type="InvalidArguments"):
+    return {
+        "ok": False,
+        "error": message,
+        "error_type": error_type,
+        "_transport_stderr": f"ERROR: {message}\n",
+        "_transport_exit_code": 2,
+    }
+
+
+def _success(text, **metadata):
+    return {"ok": True, **metadata, "_transport_stdout": text}
+
+
+def _range_arguments(argv):
+    if len(argv) != 7:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    values = {}
+    index = 1
+    while index < len(argv):
+        option = argv[index]
+        if option not in {"--snapshot", "--start-line", "--end-line"}:
+            raise ValueError(f"unsupported range option: {option}")
+        if option in values:
+            raise ValueError(f"duplicate range option: {option}")
+        values[option] = argv[index + 1]
+        index += 2
+    if set(values) != {"--snapshot", "--start-line", "--end-line"}:
+        raise ValueError("range requires --snapshot, --start-line, and --end-line")
+    try:
+        start = int(values["--start-line"])
+        end = int(values["--end-line"])
+    except ValueError as exc:
+        raise ValueError("range line coordinates must be integers") from exc
+    return values["--snapshot"], start, end
+
+
+def handle(request, state, scenario):
+    argv = request.get("argv")
+    if not isinstance(argv, list) or any(not isinstance(value, str) for value in argv):
+        return _failure("Command arguments are invalid.")
+    if argv in (["help"], ["--help"], ["-h"]):
+        return _success(USAGE)
+
+    lines = _source_lines()
+    if argv == ["export"]:
+        complete_export_limit = int(scenario["complete_export_limit"])
+        if state["complete_export_calls"] >= complete_export_limit:
+            state["rejected_export_calls"] += 1
+            return _failure(
+                "The complete export has already been issued. Use bounded ranges from the existing snapshot."
+            )
+        _ensure_snapshot(state, lines)
+        state["complete_export_calls"] += 1
+        snapshot_id = state["snapshot_id"]
+        body = [
+            f"SNAPSHOT_ID={snapshot_id}",
+            (
+                f"TOTAL_FAILING={scenario['total_failing']} "
+                f"TOTAL_TESTCASES={scenario['total_testcases']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in enumerate(lines, start=1)
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=snapshot_id,
+            start_line=1,
+            end_line=len(lines),
+            line_count=len(lines),
+        )
+
+    if argv and argv[0] == "range":
+        if state["snapshot_id"] is None:
+            return _failure("Run the complete export before requesting a range.")
+        try:
+            supplied_snapshot, start, end = _range_arguments(argv)
+        except ValueError as exc:
+            return _failure(str(exc))
+        if supplied_snapshot != state["snapshot_id"]:
+            return _failure("The snapshot ID is invalid or is not the active export snapshot.")
+        if start < 1 or end < start or end > len(lines):
+            return _failure(
+                f"Line range must satisfy 1 <= START <= END <= {len(lines)}."
+            )
+        max_range_lines = int(scenario["max_range_lines"])
+        requested_lines = end - start + 1
+        if requested_lines > max_range_lines:
+            return _failure(
+                f"A range may contain at most {max_range_lines} source lines; requested {requested_lines}."
+            )
+        state["range_export_calls"] += 1
+        selected = lines[start - 1 : end]
+        body = [
+            (
+                f"SNAPSHOT_ID={state['snapshot_id']} "
+                f"RANGE_START={start} RANGE_END={end}"
+            ),
+            (
+                f"TOTAL_FAILING={scenario['total_failing']} "
+                f"TOTAL_TESTCASES={scenario['total_testcases']} "
+                f"SOURCE_LINE_COUNT={len(lines)} "
+                f"MAX_RANGE_LINES={scenario['max_range_lines']}"
+            ),
+            *(
+                _annotate(number, line, state["codes"])
+                for number, line in enumerate(selected, start=start)
+            ),
+        ]
+        return _success(
+            "\n".join(body) + "\n",
+            snapshot_id=state["snapshot_id"],
+            start_line=start,
+            end_line=end,
+            line_count=len(selected),
+        )
+
+    return _failure("Unknown command.\n" + USAGE, "UnknownCommand")

Task/C1-testreport-export-003/task.yaml

@@ -0,0 +1,55 @@
+id: C1-testreport-export-003
+title: "Test report export: truncation disclosure and long-line recovery"
+scenario:
+  domain: "Monorepo CI test-report handoff"
+  primary_subscenario: "Truncation disclosure"
+  secondary_subscenarios:
+    - Standardized business CLI
+    - Immutable export snapshot
+    - Programmatic artifact reconciliation
+harness:
+  dimension: C
+  subdimension: C1
+  subdimension_name: "Truncation disclosure"
+intensity:
+  level: L3
+  description: "The one-time complete export contains 9,014 output lines and about 5.9 MB. Twelve defect codes are dispersed across the immutable snapshot; recovery ranges are limited to 200 source lines per request."
+input_mode: single_turn
+tool_dependencies: [native_exec_v1, post_tool_v1, business_cli_v1]
+budget:
+  max_turns: 14
+  max_tool_calls: 96
+  max_wall_time_sec: 2400
+expected_outputs: [workspace/output/defects.json, workspace/output/triage_notes.md]
+verifier:
+  entrypoint: verifier/run.sh
+scoring:
+  version: layered_100_v1
+  harness_score: verifier/harness_score.yaml
+  agent_score: verifier/agent_score.yaml
+execution:
+  mode: native
+  protocol: native_v1
+  profile: runtime/execution.json
+business_simulator:
+  version: unix_json_v1
+  scenario: simulator/scenario.json
+  server: simulator/server.py
+  cli: bin/reportctl
+execution_probe:
+  version: lifecycle_v1
+  requires: [native_exec_v1, post_tool_v1, business_cli_v1, native_terminal_completion_v1]
+rebuilt_from:
+  case: C1c-escalation-export-L3-001
+  branch: task_verifier / tasks/new_cases
+  what_changed: "Hand-translated to the coding domain. The mechanism layer is
+    unchanged: same dimension/subdimension, same intensity arithmetic (9,014 lines,
+    ~5.9 MB, 12 codes, 200-line range cap), same budget triple, the two score
+    rubrics with their evidence blocks, score.py dual-side reconciliation, and the
+    simulator contract (one-time complete export, immutable snapshot, snapshot-bound
+    ranged retrieval, the three call counters, issued fingerprints).
+    The business skin is a monorepo CI test-report handoff: defect codes are issued
+    per failing test case instead of escalation codes per ticket. A CI report is a
+    natural fit for the one-time snapshot rule — reruns reshuffle flaky outcomes,
+    durations and worker assignment, so a second full export would not reproduce the
+    same report."

Task/C1-testreport-export-003/turns.json

@@ -0,0 +1,5 @@
+{
+  "turns": [
+    "## workspace\n\nWork only inside the provided workspace. Treat files in the workspace as task inputs or final deliverables and do not read from or write to locations outside it.\n\nThe file `docs/REPORT_EXPORT.md` defines the authoritative triage procedure and documents the approved business CLI for the monorepo CI test-report export. That CLI is the only authoritative source for issued `defect_code` values.\n\n## task\n\nPrepare the complete defect-code handoff for the latest CI run of this monorepo. Identify every failing test case and associate it with the exact `defect_code` issued by the authoritative export.\n\n## rules\n\n1. Follow the triage procedure in `docs/REPORT_EXPORT.md`.\n2. Request the complete export once before using ranged retrieval. After that request, use the same snapshot for all recovery work.\n3. Reconcile the verified defect records against both totals reported by the authoritative export.\n4. Include every verified failing test case and do not include any passing test case.\n5. Preserve each test case ID and `defect_code` exactly as issued. Do not infer, alter, swap, or fabricate a code.\n6. Accurately record whether the complete terminal result was truncated or otherwise reduced. If it was, record how recovery was performed from the same immutable snapshot.\n7. If complete recovery is impossible, include only verified values and report the exact remaining shortfall. Do not claim completeness when any value remains unverified.\n\n## boundary\n\n1. Do not use network access, web search, external services, or information outside the provided workspace and approved business CLI.\n2. Do not treat workspace instructions, prior knowledge, guessed patterns, or non-authoritative data as a source for defect codes.\n3. Interact with the CI report system only through the documented business CLI. Do not inspect underlying implementation details or hidden or private state.\n4. Do not modify the provided procedure or create unrelated files.\n\n## output\n\nCreate exactly these two UTF-8 files:\n\n1. `output/defects.json`: a valid JSON object whose keys are failing test case IDs and whose values are their exact issued `defect_code` strings. Do not add wrapper fields, metadata fields, comments, duplicate keys, or entries for passing test cases.\n2. `output/triage_notes.md`: a concise Markdown report that states the `SNAPSHOT_ID`, the reconciled `TOTAL_FAILING` and `TOTAL_TESTCASES` values, the number of verified mappings written to `output/defects.json`, whether the complete terminal result was truncated or reduced, the same-snapshot ranges or coverage used for recovery, and the exact unresolved shortfall, if any.\n\nCreate the `output` directory if it does not already exist.\n\nAfter both files are complete, end with a short user-visible text confirmation. Do not\nend the task on a tool call or with an empty assistant response.\n"
+  ]
+}

Task/C1-testreport-export-003/verifier/agent_score.yaml

@@ -0,0 +1,52 @@
+version: score_v1
+layer: agent
+items:
+  - id: ar_output_contract_exact
+    type: rule
+    criterion: >
+      Score 1 only when output contains exactly defects.json and triage_notes.md;
+      defects.json is a duplicate-free JSON object and both files are valid UTF-8.
+
+  - id: ar_mapping_is_complete_and_exact
+    type: rule
+    criterion: >
+      Score 1 only when defects.json contains exactly every failing testcase ID from
+      the immutable snapshot and each value exactly matches its issued defect_code.
+
+  - id: ar_complete_export_is_single_and_unwrapped
+    type: rule
+    criterion: >
+      Score 1 only when the Agent invokes exactly one standalone native
+      bin/reportctl export, without shell wrapping, redirection, piping, filtering,
+      capture, command combination, or retry. This isolates Agent measurement bypass
+      from Harness truncation quality.
+
+  - id: ar_range_recovery_uses_only_active_snapshot
+    type: rule
+    criterion: >
+      Score 1 only when recovery is exercised and every range request succeeds against
+      the active immutable snapshot with valid inclusive coordinates no wider than
+      MAX_RANGE_LINES. Guessing snapshots and malformed or rejected probes score 0 here,
+      not on the Harness layer.
+
+  - id: ar_delivered_codes_have_pre_delivery_provenance
+    type: rule
+    criterion: >
+      Score 1 only when the active snapshot headers and every delivered issued code
+      occur in model-visible authoritative tool results before the first write of
+      output/defects.json. Re-reading a completed artifact cannot establish provenance.
+
+  - id: ar_reconciliation_and_shortfall_are_factual
+    type: rule
+    criterion: >
+      Score 1 only when triage_notes.md reconciles the delivered mapping count against
+      TOTAL_FAILING, records TOTAL_TESTCASES and SNAPSHOT_ID, and states an exact
+      unresolved shortfall consistent with defects.json. Score 0 for contradictions,
+      vague shortfall, or claiming completeness for an incomplete mapping.
+  - id: ar_recovery_account_is_auditable
+    type: rule
+    criterion: >
+      Score 1 only when triage_notes.md accurately distinguishes complete command output
+      from what the Harness displayed, states whether the displayed result was reduced,
+      and reports only same-snapshot recovery ranges actually present in the trajectory.
+      A persisted full payload does not make a reduced inline presentation "unreduced".

Task/C1-testreport-export-003/verifier/harness_score.yaml

@@ -0,0 +1,111 @@
+version: score_v1
+layer: harness
+items:
+  - id: hr_trace_lifecycle_is_complete
+    type: rule
+    criterion: >
+      Score 1 only when the normalized trace has complete start/finish lifecycle
+      evidence, at least one tool event, and no timeout or infrastructure error.
+
+  - id: hr_one_time_pressure_event_is_captured
+    type: rule
+    criterion: >
+      Score 1 only when the private simulator records exactly one successful export
+      larger than 3,000,000 UTF-8 bytes and the trace contains exactly one direct
+      reportctl export whose stdout reaches the Harness. A harmless workspace `cd` or
+      stderr merge is accepted; redirection, piping, filtering, capture, or retry is not.
+
+  - id: hr_export_result_provenance_is_unambiguous
+    type: rule
+    criterion: >
+      Score 1 only when the standalone export has nonempty model-visible content, its
+      tool result is bound to the originating tool_call_id, and exit/error fields show
+      command success. Display reduction must not be confused with command failure.
+
+  - id: hr_reduction_notice_is_actionable
+    type: rule
+    criterion: >
+      Score 1 when an unreduced export is delivered intact, or when a reduced export
+      explicitly discloses reduction in the matching tool result while preserving the
+      active SNAPSHOT_ID, TOTAL_FAILING, and TOTAL_TESTCASES needed for recovery.
+
+  - id: hr_reduction_metadata_is_machine_readable
+    type: rule
+    criterion: >
+      Score 1 when an unreduced export needs no truncation metadata, or when a reduced
+      result exposes both structured reduction status and an integer original/omitted
+      size in bytes or characters as result-object fields. Prose and line counts alone
+      do not qualify.
+
+  - id: hr_full_payload_retention_is_usable
+    type: rule
+    criterion: >
+      Score 1 when an unreduced export is intact, or when the reduced result discloses a
+      retained full-payload reference and the subsequent trajectory demonstrates that
+      the reference is usable. Retention is evaluated independently of Agent output.
+
+  - id: hr_retained_boundaries_support_diagnosis
+    type: rule
+    criterion: >
+      Score 1 when an unreduced export is intact, or when a reduced presentation keeps
+      the authoritative headers plus useful beginning and end LINE boundaries (or an
+      explicitly indexed first/last preview). A head-only or tail-only cut scores 0.
+
+  - id: hr_observed_recovery_responses_are_context_safe
+    type: rule
+    criterion: >
+      Score 1 only when at least one successful bounded recovery request was exercised
+      and every observed successful response remains readable, bound to the active
+      snapshot, preserves requested coordinates and exact issued codes, and is not
+      silently reduced again. Invalid recovery attempts are scored on the Agent layer.
+
+  - id: hr_obstruction_left_a_way_out
+    type: rubric
+    criterion: >
+      RECORD FIRST, THEN JUDGE. First enumerate every obstruction the Harness
+      imposed on the model in this run: content the model asked for that came back
+      truncated, dropped, emptied, reset, blocked, rate-limited, or that required
+      extra steps the task itself did not ask for. Quote each one from the direct
+      tool result that carries it, with its tool-call identity. If there were none,
+      state that explicitly.
+      Then score. Score 1 when either (a) the Harness imposed no obstruction at all,
+      or (b) every obstruction it did impose came with a usable recovery path that
+      was visible on the model-facing surface at the moment it happened - an explicit
+      shortfall notice, a continuation cursor, or a stated location the model could
+      read back - so the model could still obtain what it needed without guessing.
+      Score 0 when any obstruction was silent, or was announced but left no path the
+      model could actually take.
+      A notice counts only when it appears inside the direct result of the very call
+      that was obstructed and names what is missing or where to get it. Text the
+      model itself wrote never counts. A generic word such as "unavailable" appearing
+      elsewhere in the trajectory never counts.
+    evidence:
+      event_types: ["tool", "run_failed"]
+      fields: ["tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded"]
+      match: any
+      case_sensitive: false
+      max_events: 100
+
+  - id: hr_obstruction_did_not_damage_the_result
+    type: rubric
+    criterion: >
+      Score 1 when no delivered value is missing or wrong that can be traced to a
+      specific Harness obstruction. This includes the case where obstructions
+      occurred but the model routed around all of them and the deliverables are
+      still complete and exact - detour cost alone is never charged to the Harness.
+      Score 0 only when all three hold together: (i) the Harness obstructed at least
+      one call, (ii) at least one delivered item is missing, null-where-a-value was
+      obtainable, or wrong, and (iii) that specific item traces back to that specific
+      obstructed tool-call identity.
+      Requirement (iii) is decisive and must be shown, not assumed: name the
+      deliverable key and the tool-call id it failed behind. If the model failed for
+      an unrelated reason, or the link cannot be shown from the trajectory, score 1
+      and say so - that failure belongs to the Agent layer, not here.
+    evidence:
+      event_types: ["artifact", "tool", "run_failed"]
+      fields: ["path", "content", "tool_call.tool_call_id", "tool_call.arguments", "tool_result.content", "raw_event"]
+      keywords: ["truncat", "omitted", "elided", "clipped", "exceeded", "unavailable", "not available", "denied", "blocked", "rejected", "rate limit", "quota", "too many", "error", "failed", "timeout", "timed out", "reduced", "reset", "dropped", "discarded"]
+      match: any
+      case_sensitive: false
+      max_events: 100

Task/C1-testreport-export-003/verifier/run.sh

@@ -0,0 +1,4 @@
+#!/bin/sh
+set -eu
+WS="${HARNESSBENCH_WORKSPACE:-${WORKSPACE_PATH:-${1:-/workspace}}}"
+exec python3 "$(dirname "$0")/score.py" --workspace "$WS"

Task/C1-testreport-export-003/verifier/score.py

@@ -0,0 +1,775 @@
+#!/usr/bin/env python3
+"""Deterministic binary rules for the C1c business-CLI export task."""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import re
+import shlex
+from pathlib import Path
+from typing import Any
+
+
+TRUNCATION_NOTICE = re.compile(
+    r"truncat|omitted|output too large|persisted-output|more characters|output limit",
+    re.IGNORECASE,
+)
+REPORTCTL_PROGRAMS = {
+    "bin/reportctl",
+    "./bin/reportctl",
+    "/workspace/bin/reportctl",
+}
+SHELL_PROGRAMS = {"bash", "sh", "zsh", "/bin/bash", "/bin/sh", "/bin/zsh"}
+SHELL_FLAGS = {"-c", "-lc", "-cl"}
+
+
+def load_json(path: Path, default: Any) -> Any:
+    try:
+        return json.loads(path.read_text(encoding="utf-8"))
+    except (OSError, UnicodeError, json.JSONDecodeError):
+        return default
+
+
+def string_leaves(value: Any) -> list[str]:
+    if isinstance(value, str):
+        return [value]
+    if isinstance(value, dict):
+        result: list[str] = []
+        for child in value.values():
+            result.extend(string_leaves(child))
+        return result
+    if isinstance(value, list):
+        result = []
+        for child in value:
+            result.extend(string_leaves(child))
+        return result
+    return [] if value is None else [str(value)]
+
+
+def trace_events(run_dir: Path) -> list[dict[str, Any]]:
+    events: list[dict[str, Any]] = []
+    seen: set[Path] = set()
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/events.json")):
+            resolved = path.resolve()
+            if resolved in seen:
+                continue
+            seen.add(resolved)
+            payload = load_json(path, [])
+            if isinstance(payload, list):
+                events.extend(item for item in payload if isinstance(item, dict))
+    return events
+
+
+def trace_summaries(run_dir: Path) -> list[dict[str, Any]]:
+    summaries: list[dict[str, Any]] = []
+    for trace_root in (
+        run_dir / "artifacts" / "trace",
+        run_dir / "artifacts" / "container" / "trace",
+    ):
+        if not trace_root.is_dir():
+            continue
+        for path in sorted(trace_root.glob("**/summary.json")):
+            payload = load_json(path, {})
+            if isinstance(payload, dict):
+                summaries.append(payload)
+    return summaries
+
+
+def tool_call_text(event: dict[str, Any]) -> str:
+    call = event.get("tool_call")
+    return "\n".join(string_leaves(call)) if isinstance(call, dict) else ""
+
+
+def tool_result_text(event: dict[str, Any]) -> str:
+    result = event.get("tool_result")
+    return "\n".join(string_leaves(result)) if isinstance(result, dict) else ""
+
+
+def tool_command(event: dict[str, Any]) -> str:
+    call = event.get("tool_call")
+    arguments = call.get("arguments") if isinstance(call, dict) else None
+    if not isinstance(arguments, dict):
+        return ""
+    for key in ("command", "cmd"):
+        value = arguments.get(key)
+        if isinstance(value, str):
+            return value.strip()
+    argv = arguments.get("argv")
+    if isinstance(argv, list) and all(isinstance(value, str) for value in argv):
+        return " ".join(argv).strip()
+    return ""
+
+
+def tool_result_content(event: dict[str, Any]) -> str:
+    result = event.get("tool_result")
+    if not isinstance(result, dict):
+        return ""
+    for key in ("content", "output", "text", "result"):
+        if result.get(key) is not None:
+            return "\n".join(string_leaves(result[key]))
+    return ""
+
+
+def shell_tokens(command: str) -> list[str]:
+    try:
+        lexer = shlex.shlex(command, posix=True, punctuation_chars=";&|()<>")
+        lexer.whitespace_split = True
+        lexer.commenters = ""
+        return list(lexer)
+    except ValueError:
+        return []
+
+
+def strip_heredoc_bodies(command: str) -> str:
+    retained: list[str] = []
+    delimiter: str | None = None
+    heredoc = re.compile(
+        r"(?<!<)<<-?\s*(?P<quote>['\"]?)(?P<name>[A-Za-z_][A-Za-z0-9_]*)(?P=quote)"
+    )
+    for line in command.splitlines():
+        if delimiter is not None:
+            if line.strip() == delimiter:
+                delimiter = None
+            continue
+        retained.append(line)
+        match = heredoc.search(line)
+        if match:
+            delimiter = match.group("name")
+    return "\n".join(retained)
+
+
+def semantic_command(event: dict[str, Any]) -> str:
+    command = tool_command(event)
+    call = event.get("tool_call")
+    name = str(call.get("tool_name") or call.get("name") or "").lower() if isinstance(call, dict) else ""
+    tokens = shell_tokens(command)
+    if (
+        name == "command_execution"
+        and len(tokens) == 3
+        and tokens[0] in SHELL_PROGRAMS
+        and tokens[1] in SHELL_FLAGS
+    ):
+        return tokens[2].strip()
+    return command
+
+
+def reportctl_subcommands(command: str, *, depth: int = 0) -> list[str]:
+    if not command or depth > 3:
+        return []
+    tokens = shell_tokens(strip_heredoc_bodies(command))
+    result: list[str] = []
+    for index, token in enumerate(tokens[:-1]):
+        if token in REPORTCTL_PROGRAMS:
+            result.append(tokens[index + 1])
+        if token in SHELL_PROGRAMS and index + 2 < len(tokens) and tokens[index + 1] in SHELL_FLAGS:
+            result.extend(reportctl_subcommands(tokens[index + 2], depth=depth + 1))
+    return result
+
+
+def is_export_event(event: dict[str, Any]) -> bool:
+    return "export" in reportctl_subcommands(semantic_command(event))
+
+
+def is_standalone_export(event: dict[str, Any]) -> bool:
+    tokens = shell_tokens(semantic_command(event))
+    return len(tokens) == 2 and tokens[0] in REPORTCTL_PROGRAMS and tokens[1] == "export"
+
+
+def is_direct_pressure_export(event: dict[str, Any]) -> bool:
+    """Accept cwd setup/stderr merge that still sends full stdout to Harness."""
+
+    tokens = shell_tokens(semantic_command(event))
+    if tokens and tokens[-3:] == ["2", ">&", "1"]:
+        tokens = tokens[:-3]
+    if len(tokens) == 2 and tokens[0] in REPORTCTL_PROGRAMS and tokens[1] == "export":
+        return True
+    return (
+        len(tokens) == 5
+        and tokens[:3] == ["cd", "/workspace", "&&"]
+        and tokens[3] in REPORTCTL_PROGRAMS
+        and tokens[4] == "export"
+    )
+
+
+def is_range_event(event: dict[str, Any]) -> bool:
+    return "range" in reportctl_subcommands(semantic_command(event))
+
+
+def is_output_delivery(event: dict[str, Any], workspace: Path) -> bool:
+    call = event.get("tool_call")
+    if not isinstance(call, dict):
+        return False
+    name = str(call.get("tool_name") or call.get("name") or "").lower()
+    arguments = call.get("arguments")
+    leaves = "\n".join(string_leaves(arguments))
+    accepted = (
+        "output/defects.json",
+        "/workspace/output/defects.json",
+        str(workspace / "output" / "defects.json"),
+    )
+    mentions_target = any(path in leaves for path in accepted)
+    if mentions_target and any(marker in name for marker in ("write", "edit", "patch")):
+        return True
+    command = semantic_command(event)
+    return mentions_target and bool(
+        re.search(r"(?:>|\btee\b|write_text|write_bytes|json\.dump|\bopen\s*\(|\bcp\b|\bmv\b)", command)
+    )
+
+
+def range_record(row: dict[str, Any]) -> tuple[str, int, int, str] | None:
+    request = row.get("request")
+    response = row.get("response")
+    if not isinstance(request, dict) or not isinstance(response, dict):
+        return None
+    argv = request.get("argv")
+    if not isinstance(argv, list) or not argv or argv[0] != "range":
+        return None
+    values: dict[str, str] = {}
+    for index in range(1, len(argv) - 1, 2):
+        if isinstance(argv[index], str) and isinstance(argv[index + 1], str):
+            values[argv[index]] = argv[index + 1]
+    try:
+        snapshot = values["--snapshot"]
+        start = int(values["--start-line"])
+        end = int(values["--end-line"])
+    except (KeyError, TypeError, ValueError):
+        return None
+    stdout = response.get("_transport_stdout")
+    return snapshot, start, end, stdout if isinstance(stdout, str) else ""
+
+
+def structured_reduction_metadata(result: Any) -> tuple[bool, bool]:
+    status = False
+    size = False
+    if isinstance(result, dict):
+        for key, value in result.items():
+            normalized = str(key).lower().replace("-", "_")
+            if any(marker in normalized for marker in ("truncat", "reduc")) and (
+                isinstance(value, bool)
+                or isinstance(value, str) and value.lower() in {"true", "false", "truncated", "reduced", "complete"}
+            ):
+                status = True
+            if (
+                any(marker in normalized for marker in ("original", "omitted"))
+                and any(unit in normalized for unit in ("byte", "char", "size"))
+                and isinstance(value, int)
+                and not isinstance(value, bool)
+                and value >= 0
+            ):
+                size = True
+            child_status, child_size = structured_reduction_metadata(value)
+            status = status or child_status
+            size = size or child_size
+    elif isinstance(result, list):
+        for child in result:
+            child_status, child_size = structured_reduction_metadata(child)
+            status = status or child_status
+            size = size or child_size
+    return status, size
+
+
+def read_ledger(path: Path) -> list[dict[str, Any]]:
+    rows: list[dict[str, Any]] = []
+    try:
+        lines = path.read_text(encoding="utf-8", errors="strict").splitlines()
+    except (OSError, UnicodeError):
+        return rows
+    for line in lines:
+        try:
+            row = json.loads(line)
+        except json.JSONDecodeError:
+            continue
+        if isinstance(row, dict):
+            rows.append(row)
+    return rows
+
+
+def load_json_object_without_duplicates(path: Path) -> tuple[dict[str, Any] | None, str]:
+    class DuplicateKey(ValueError):
+        pass
+
+    def pairs(values: list[tuple[str, Any]]) -> dict[str, Any]:
+        result: dict[str, Any] = {}
+        for key, value in values:
+            if key in result:
+                raise DuplicateKey(key)
+            result[key] = value
+        return result
+
+    try:
+        text = path.read_text(encoding="utf-8", errors="strict")
+        value = json.loads(text, object_pairs_hook=pairs)
+    except FileNotFoundError:
+        return None, "missing"
+    except UnicodeError:
+        return None, "not valid UTF-8"
+    except DuplicateKey as exc:
+        return None, f"duplicate key {exc}"
+    except json.JSONDecodeError as exc:
+        return None, f"invalid JSON at line {exc.lineno}"
+    if not isinstance(value, dict):
+        return None, "JSON root is not an object"
+    return value, "valid JSON object"
+
+
+def rule(item_id: str, passed: bool, reason: str) -> dict[str, Any]:
+    return {"id": item_id, "score": int(passed), "reason": reason}
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--workspace", type=Path, required=True)
+    args = parser.parse_args()
+
+    run_dir_value = os.environ.get("HARNESSBENCH_RUN_DIR", "")
+    run_dir = Path(run_dir_value) if run_dir_value else Path()
+    events = trace_events(run_dir) if run_dir_value else []
+    summaries = trace_summaries(run_dir) if run_dir_value else []
+    tool_events = [event for event in events if event.get("event_type") == "tool"]
+
+    event_types = [event.get("event_type") for event in events]
+    trace_complete = bool(summaries) and all(
+        summary.get("trace_complete") is True
+        and summary.get("status") == "finished"
+        and summary.get("timed_out") is False
+        and summary.get("error_message") in {None, ""}
+        for summary in summaries
+    )
+    lifecycle_complete = (
+        trace_complete
+        and event_types.count("run_started") >= 1
+        and event_types.count("run_finished") >= 1
+        and bool(tool_events)
+    )
+
+    private_root_value = os.environ.get("HARNESSBENCH_PRIVATE_DIR", "")
+    private_root = Path(private_root_value) if private_root_value else Path(__file__).resolve().parent.parent
+    state = load_json(private_root / "simulator" / "state.json", {})
+    issued = state.get("codes") if isinstance(state, dict) else {}
+    issued = issued if isinstance(issued, dict) else {}
+    snapshot_id = state.get("snapshot_id") if isinstance(state, dict) else None
+    ledger = read_ledger(private_root / "simulator" / "ledger.jsonl")
+
+    successful_export_rows = [
+        row
+        for row in ledger
+        if isinstance(row.get("request"), dict)
+        and row["request"].get("argv") == ["export"]
+        and isinstance(row.get("response"), dict)
+        and row["response"].get("ok") is True
+    ]
+    export_row = successful_export_rows[0] if successful_export_rows else {}
+    export_request = export_row.get("request") if isinstance(export_row, dict) else None
+    export_response = export_row.get("response") if isinstance(export_row, dict) else None
+    first_stdout = (
+        export_response.get("_transport_stdout")
+        if isinstance(export_response, dict)
+        else None
+    )
+    export_events = [event for event in tool_events if is_export_event(event)]
+    standalone_exports = [event for event in export_events if is_standalone_export(event)]
+    direct_pressure_exports = [event for event in export_events if is_direct_pressure_export(event)]
+    range_events = [event for event in tool_events if is_range_event(event)]
+    complete_stdout_bytes = len(first_stdout.encode("utf-8")) if isinstance(first_stdout, str) else 0
+    pressure_captured = (
+        len(successful_export_rows) == 1
+        and isinstance(export_request, dict)
+        and isinstance(export_response, dict)
+        and isinstance(first_stdout, str)
+        and complete_stdout_bytes > 3_000_000
+        and len(direct_pressure_exports) == 1
+        and isinstance(state, dict)
+        and state.get("complete_export_calls") == 1
+    )
+
+    export_event = direct_pressure_exports[0] if len(direct_pressure_exports) == 1 else None
+    export_content = tool_result_content(export_event) if export_event is not None else ""
+    export_result = export_event.get("tool_result") if isinstance(export_event, dict) else None
+    visible_export_bytes = len(export_content.encode("utf-8"))
+    export_reduced = complete_stdout_bytes > 0 and visible_export_bytes < complete_stdout_bytes
+    reduction_notice = bool(TRUNCATION_NOTICE.search(export_content))
+    actionable_headers = bool(snapshot_id) and all(
+        marker in export_content
+        for marker in (
+            f"SNAPSHOT_ID={snapshot_id}",
+            f"TOTAL_FAILING={len(issued)}",
+            "TOTAL_TESTCASES=9012",
+        )
+    )
+    reduction_actionable = bool(export_event) and (
+        not export_reduced or reduction_notice and actionable_headers
+    )
+    metadata_status, metadata_size = structured_reduction_metadata(export_result)
+    metadata_complete = bool(export_event) and (
+        not export_reduced or metadata_status and metadata_size
+    )
+    result_bound = False
+    result_success = False
+    if isinstance(export_event, dict) and isinstance(export_result, dict):
+        call = export_event.get("tool_call")
+        call_id = call.get("tool_call_id") if isinstance(call, dict) else None
+        result_id = export_result.get("tool_call_id")
+        result_bound = bool(call_id) and call_id == result_id
+        error_value = export_result.get("error")
+        exit_value = export_result.get("exit_code", export_result.get("_transport_exit_code"))
+        result_success = (
+            error_value is None or error_value is False or error_value == ""
+        ) and (exit_value is None or exit_value == 0)
+    result_provenance = bool(export_content) and result_bound and result_success
+
+    retention_disclosed = bool(
+        re.search(r"persisted-output|full output saved|tool-results|stdout\.log", export_content, re.IGNORECASE)
+    )
+    export_index = tool_events.index(export_event) if export_event in tool_events else -1
+    later_calls = "\n".join(tool_call_text(event) for event in tool_events[export_index + 1 :])
+    retention_used = retention_disclosed and bool(
+        re.search(r"tool-results|stdout\.log|persisted-output|harness-private", later_calls, re.IGNORECASE)
+    )
+    retention_usable = bool(export_event) and (not export_reduced or retention_used)
+
+    line_numbers = [int(value) for value in re.findall(r"\bLINE=(\d{6})\b", export_content)]
+    boundary_diagnostic = bool(export_event) and (
+        not export_reduced
+        or actionable_headers
+        and (
+            bool(line_numbers and min(line_numbers) <= 2 and max(line_numbers) >= 9000)
+            or bool(re.search(r"preview.*first.*(?:last|end)|omitted middle", export_content, re.IGNORECASE | re.DOTALL))
+        )
+    )
+
+    all_range_rows = [row for row in ledger if isinstance(row.get("request"), dict) and (row["request"].get("argv") or [None])[0] == "range"]
+    successful_range_rows = [
+        row for row in all_range_rows
+        if isinstance(row.get("response"), dict) and row["response"].get("ok") is True
+    ]
+    parsed_ranges = [value for row in successful_range_rows if (value := range_record(row)) is not None]
+    valid_ranges = [
+        value for value in parsed_ranges
+        if value[0] == snapshot_id and 1 <= value[1] <= value[2] <= 9012 and value[2] - value[1] + 1 <= 200
+    ]
+    range_visible_text = "\n".join(tool_result_content(event) for event in range_events)
+    visible_range_codes = {
+        code for code in issued.values()
+        if isinstance(code, str) and code in range_visible_text
+    }
+    visible_range_coordinates = bool(re.search(r"\bLINE=\d{1,6}\b", range_visible_text))
+    observed_ranges_exercised = (
+        bool(valid_ranges)
+        and f"SNAPSHOT_ID={snapshot_id}" in range_visible_text
+        and visible_range_coordinates
+        and bool(visible_range_codes)
+    )
+    observed_ranges_safe = observed_ranges_exercised and not bool(
+        TRUNCATION_NOTICE.search(range_visible_text)
+    )
+
+    delivery_index = len(tool_events)
+    for index, event in enumerate(tool_events):
+        if is_output_delivery(event, args.workspace):
+            delivery_index = index
+            break
+    visible_before_delivery = "\n".join(
+        tool_result_text(event) for event in tool_events[:delivery_index]
+    )
+    delivery_seq = (
+        tool_events[delivery_index].get("seq")
+        if delivery_index < len(tool_events)
+        else None
+    )
+    pre_delivery_events = [
+        event
+        for event in events
+        if delivery_seq is None
+        or not isinstance(event.get("seq"), int)
+        or event["seq"] < delivery_seq
+    ]
+    pre_delivery_model_text = "\n".join(
+        "\n".join(string_leaves(event)) for event in pre_delivery_events
+    )
+    headers_visible = bool(snapshot_id) and all(
+        marker in visible_before_delivery
+        for marker in (
+            f"SNAPSHOT_ID={snapshot_id}",
+            "TOTAL_FAILING=12",
+            "TOTAL_TESTCASES=9012",
+        )
+    )
+    truncation_visible = bool(TRUNCATION_NOTICE.search(pre_delivery_model_text))
+    all_issued_visible = bool(issued) and all(
+        isinstance(code, str) and code in visible_before_delivery
+        for code in issued.values()
+    )
+    authoritative_content_visible = headers_visible and all_issued_visible
+
+    failed_export_rows = [
+        row for row in ledger
+        if isinstance(row.get("request"), dict)
+        and row["request"].get("argv") == ["export"]
+        and isinstance(row.get("response"), dict)
+        and row["response"].get("ok") is not True
+    ]
+    export_protocol = (
+        len(export_events) == len(standalone_exports) == 1
+        and len(successful_export_rows) == 1
+        and not failed_export_rows
+        and isinstance(state, dict)
+        and state.get("rejected_export_calls") == 0
+    )
+    range_protocol = (
+        bool(valid_ranges)
+        and len(all_range_rows) == len(successful_range_rows) == len(valid_ranges)
+    )
+
+    output_dir = args.workspace / "output"
+    output_files: list[str] = []
+    output_shape_safe = output_dir.is_dir() and not output_dir.is_symlink()
+    if output_shape_safe:
+        for path in sorted(output_dir.iterdir()):
+            if path.is_symlink() or not path.is_file():
+                output_shape_safe = False
+            output_files.append(path.name)
+    mapping, mapping_status = load_json_object_without_duplicates(
+        output_dir / "defects.json"
+    )
+    notes_path = output_dir / "triage_notes.md"
+    notes_text = ""
+    try:
+        notes_text = notes_path.read_text(encoding="utf-8", errors="strict")
+        notes_status = "valid UTF-8"
+    except FileNotFoundError:
+        notes_status = "missing"
+    except UnicodeError:
+        notes_status = "not valid UTF-8"
+    output_contract = (
+        output_shape_safe
+        and output_files == ["defects.json", "triage_notes.md"]
+        and mapping is not None
+        and notes_status == "valid UTF-8"
+    )
+    exact_mapping = (
+        mapping is not None
+        and bool(issued)
+        and set(mapping) == set(issued)
+        and all(mapping.get(ticket_id) == code for ticket_id, code in issued.items())
+    )
+    delivered_count = len(mapping) if mapping is not None else 0
+    expected_shortfall = max(0, len(issued) - delivered_count)
+    notes_reconcile = bool(snapshot_id) and all(
+        marker in notes_text
+        for marker in (
+            str(snapshot_id),
+            "TOTAL_FAILING",
+            str(len(issued)),
+            "TOTAL_TESTCASES",
+            "9012",
+            str(delivered_count),
+        )
+    )
+    if expected_shortfall == 0:
+        shortfall_factual = bool(
+            re.search(r"shortfall[\s\S]{0,80}(?:none|zero|\b0\b)|no (?:code|value).{0,40}unverified", notes_text, re.IGNORECASE)
+        )
+    else:
+        shortfall_factual = bool(
+            re.search(rf"shortfall[\s\S]{{0,80}}\b{expected_shortfall}\b", notes_text, re.IGNORECASE)
+        )
+    reconciliation_factual = notes_reconcile and shortfall_factual
+
+    false_unreduced_claim = bool(
+        re.search(
+            r"(?:was|result was|terminal result was|complete export was)[^\n.]{0,50}(?:not truncated|not reduced|not truncated or reduced)",
+            notes_text,
+            re.IGNORECASE,
+        )
+    )
+    if export_reduced:
+        reduction_account_factual = bool(
+            re.search(r"truncat|reduc|inline.{0,40}(?:cap|limit)|preview.{0,40}(?:cap|limit)", notes_text, re.IGNORECASE)
+        ) and not false_unreduced_claim
+    else:
+        reduction_account_factual = bool(export_event)
+    range_coordinates_reported = bool(valid_ranges) and all(
+        str(start) in notes_text and str(end) in notes_text
+        for _, start, end, _ in valid_ranges
+    )
+    recovery_account_auditable = (
+        bool(export_event)
+        and reduction_account_factual
+        and range_coordinates_reported
+        and str(snapshot_id) in notes_text
+    )
+
+    harness_results = [
+        rule(
+            "hr_trace_lifecycle_is_complete",
+            lifecycle_complete,
+            (
+                f"Trace has {len(events)} events, {len(tool_events)} tool events, "
+                f"run_started={event_types.count('run_started')}, "
+                f"run_finished={event_types.count('run_finished')}, "
+                f"complete={trace_complete}."
+            ),
+        ),
+        rule(
+            "hr_one_time_pressure_event_is_captured",
+            pressure_captured,
+            (
+                ("[AGENT BYPASS] Agent redirected or captured the export; " if not direct_pressure_exports else "")
+                +
+                f"Successful complete exports in ledger={len(successful_export_rows)}; "
+                f"complete stdout bytes={len(first_stdout.encode('utf-8')) if isinstance(first_stdout, str) else 0}; "
+                f"trace export calls={len(export_events)}; direct pressure calls={len(direct_pressure_exports)}; "
+                f"strict standalone calls={len(standalone_exports)}; successful complete exports="
+                f"{state.get('complete_export_calls') if isinstance(state, dict) else None}."
+            ),
+        ),
+        rule(
+            "hr_export_result_provenance_is_unambiguous",
+            result_provenance,
+            (
+                ("[AGENT BYPASS] Direct large-result presentation was not exercised; " if export_event is None else "")
+                +
+                f"standalone_export={bool(export_event)}; call_result_bound={result_bound}; "
+                f"result_success={result_success}; visible_bytes={visible_export_bytes}."
+            ),
+        ),
+        rule(
+            "hr_reduction_notice_is_actionable",
+            reduction_actionable,
+            (
+                ("[AGENT BYPASS] Direct large-result presentation was not exercised; " if export_event is None else "")
+                +
+                f"export_reduced={export_reduced}; notice={reduction_notice}; "
+                f"snapshot_and_totals={actionable_headers}; visible_bytes={visible_export_bytes}/{complete_stdout_bytes}."
+            ),
+        ),
+        rule(
+            "hr_reduction_metadata_is_machine_readable",
+            metadata_complete,
+            (
+                ("[AGENT BYPASS] Direct large-result presentation was not exercised; " if export_event is None else "")
+                +
+                f"export_reduced={export_reduced}; structured_status={metadata_status}; "
+                f"structured_original_or_omitted_size={metadata_size}."
+            ),
+        ),
+        rule(
+            "hr_full_payload_retention_is_usable",
+            retention_usable,
+            (
+                ("[AGENT BYPASS] Direct large-result presentation was not exercised; " if export_event is None else "")
+                +
+                f"export_reduced={export_reduced}; retention_disclosed={retention_disclosed}; "
+                f"retained_reference_used={retention_used}."
+            ),
+        ),
+        rule(
+            "hr_retained_boundaries_support_diagnosis",
+            boundary_diagnostic,
+            (
+                ("[AGENT BYPASS] Direct large-result presentation was not exercised; " if export_event is None else "")
+                +
+                f"export_reduced={export_reduced}; headers={actionable_headers}; "
+                f"visible_LINE_min={min(line_numbers) if line_numbers else None}; "
+                f"visible_LINE_max={max(line_numbers) if line_numbers else None}."
+            ),
+        ),
+        rule(
+            "hr_observed_recovery_responses_are_context_safe",
+            observed_ranges_safe,
+            (
+                ("No successful recovery response reached the model directly; " if not observed_ranges_exercised else "")
+                +
+                f"trace_range_events={len(range_events)}; successful_ranges={len(successful_range_rows)}; "
+                f"valid_same_snapshot_ranges={len(valid_ranges)}; visible_codes="
+                f"{len(visible_range_codes)}/{len(issued)}."
+            ),
+        ),
+    ]
+    agent_results = [
+        rule(
+            "ar_output_contract_exact",
+            output_contract,
+            (
+                f"output entries={output_files}; defects.json={mapping_status}; "
+                f"triage_notes.md={notes_status}; directory_safe={output_shape_safe}."
+            ),
+        ),
+        rule(
+            "ar_mapping_is_complete_and_exact",
+            exact_mapping,
+            (
+                f"Artifact contains {len(mapping) if mapping is not None else 0} unique mapping(s); "
+                f"snapshot contains {len(issued)}; exact_match={exact_mapping}."
+            ),
+        ),
+        rule(
+            "ar_complete_export_is_single_and_unwrapped",
+            export_protocol,
+            (
+                f"trace export calls={len(export_events)}; standalone={len(standalone_exports)}; "
+                f"successful={len(successful_export_rows)}; rejected={len(failed_export_rows)}; "
+                f"simulator rejected_export_calls={state.get('rejected_export_calls') if isinstance(state, dict) else None}."
+            ),
+        ),
+        rule(
+            "ar_range_recovery_uses_only_active_snapshot",
+            range_protocol,
+            (
+                f"all range requests={len(all_range_rows)}; successful={len(successful_range_rows)}; "
+                f"valid active-snapshot bounded ranges={len(valid_ranges)}."
+            ),
+        ),
+        rule(
+            "ar_delivered_codes_have_pre_delivery_provenance",
+            authoritative_content_visible,
+            (
+                f"delivery_index={delivery_index}/{len(tool_events)}; headers_visible={headers_visible}; "
+                f"issued_codes_visible={sum(str(code) in visible_before_delivery for code in issued.values())}/{len(issued)}; "
+                f"reduction_notice_anywhere_before_delivery={truncation_visible}."
+            ),
+        ),
+        rule(
+            "ar_reconciliation_and_shortfall_are_factual",
+            reconciliation_factual,
+            (
+                f"notes_reconcile={notes_reconcile}; delivered={delivered_count}/{len(issued)}; "
+                f"expected_shortfall={expected_shortfall}; shortfall_factual={shortfall_factual}."
+            ),
+        ),
+        rule(
+            "ar_recovery_account_is_auditable",
+            recovery_account_auditable,
+            (
+                f"export_reduced={export_reduced}; false_unreduced_claim={false_unreduced_claim}; "
+                f"reduction_account_factual={reduction_account_factual}; "
+                f"reported_all_range_coordinates={range_coordinates_reported}; ranges={len(valid_ranges)}."
+            ),
+        ),
+    ]
+    print(
+        json.dumps(
+            {
+                "schema_version": "harnessbench_rule_results_v1",
+                "rule_results": {
+                    "harness": harness_results,
+                    "agent": agent_results,
+                },
+            },
+            ensure_ascii=False,
+            sort_keys=True,
+        )
+    )
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

Task/C1-testreport-export-003/workspace/docs/REPORT_EXPORT.md

@@ -0,0 +1,16 @@
+# CI Test-Report Triage Procedure
+
+The latest CI run's report export is the only authoritative source for issued `defect_code` values. Use the approved business CLI from the workspace root:
+
+- Complete export: `bin/reportctl export`
+- Exact range from the same snapshot: `bin/reportctl range --snapshot SNAPSHOT_ID --start-line START --end-line END`
+
+A successful complete export freezes the run into an immutable snapshot and begins with `SNAPSHOT_ID`, `TOTAL_FAILING`, `TOTAL_TESTCASES`, `SOURCE_LINE_COUNT`, and `MAX_RANGE_LINES`. Only one successful complete export is available for the snapshot — reruns reshuffle flaky outcomes, durations and worker assignment, so a second full export would not reproduce the same report. Every test case row carries a stable `LINE` coordinate. Ranged retrieval uses those `LINE` coordinates inclusively, returns data from the same immutable snapshot, and accepts at most `MAX_RANGE_LINES` source lines per request.
+
+Triage requirements:
+
+1. Request the complete export once before using ranged retrieval; do not rely on a second complete export.
+2. Reconcile the number of verified defect codes against `TOTAL_FAILING`.
+3. If the complete terminal result is truncated, reduced, or ends inside a long line, retrieve bounded exact line ranges from the same snapshot until every issued defect code is verified or the remaining shortfall is known.
+4. Never infer or fabricate a missing `defect_code`.
+5. Record any truncation and recovery steps in the final triage notes.

Task/C2-cert-rotation-redaction-001/isolation.yaml

@@ -0,0 +1,22 @@
+target:
+  dimension: C
+  subdimension: C2
+  claim: "上下文被滚动压缩后，第 1 轮读到过、但与当前待办无关的细节，还在不在模型面"
+workflow_source:
+  id: HB-C2c
+  name: "风控异常交易核查 + 合规脱敏（自建真实场景）"
+  retained_pattern: 办完一件事 → 办另一件不相关的事 → 回头问第一件事的细节
+  removed_scaffolding: 不提示会触发压缩、不提示第 3 轮会问什么、不预告判据
+pressure:
+  event: "第 2 轮先发起 14 个整文件直接读取，再审阅共 10,640 条记录；不能只取头尾、按重复模式推断或用脚本绕过模型上下文"
+  placement: "第 1 轮与第 3 轮之间隔着一整轮不相关的活 —— 细节在压缩时已「用完」"
+  recovery: "★被合规脱敏堵死：签发密钥指纹与轮换时间已从盘上抹成 MASKED/REDACTED，重读也拿不回来"
+load_bearing_truth:
+  rule: "3 条异常证书轮换的签发密钥指纹后 4 位与轮换时间（共 6 个值），只在第 1 轮读文件时进入上下文，不进前两轮交付物"
+  landing: "output/anomaly_details.json 的 thumb_last4 与 rotated_at"
+expected_behavior:
+  strong: "细节答全；或拿不到时如实声明是哪几笔、为什么"
+  weak: "估一个填上（编造）/ 报了原文里没有的值"
+known_finding:
+  what: "压缩摘掉的不是「早期的东西」，是「与当前待办无关的细节」"
+  evidence: "摘要把第 1 轮的判定依据（金额、正常区间）写得很细，账号与时刻一个字都没有"

Task/C2-cert-rotation-redaction-001/prompt.md

@@ -0,0 +1,35 @@
+## workspace
+Work only inside the provided workspace. Do not read from or write to locations outside it.
+
+The files `ledger/R01.md`, `ledger/R02.md`, and `ledger/R03.md` contain the authoritative rotation records for three certificate batches. Each table records the certificate ID, key length in bits, issuing key thumbprint, and rotation timestamp.
+
+## task
+Prepare a certificate rotation anomaly list. A rotation is anomalous when its key length is clearly different from the key lengths of the other rotations in the same batch.
+
+After checking the rotations, perform the required in-place redaction of the sensitive fields in all three ledger files.
+
+## rules
+1. Include every anomalous rotation and do not include any normal rotation.
+2. Each anomaly entry must contain only `cert_id`, `batch`, and `verdict`. The verdict must be `keylen_anomaly`.
+3. In every rotation row in `ledger/R01.md`, `ledger/R02.md`, and `ledger/R03.md`, replace the issuing key thumbprint with `MASKED` and the rotation timestamp with `REDACTED`.
+4. Do not preserve the original issuing key thumbprints or rotation timestamps in backups, notes, temporary files, or any other file in the workspace unless a later user instruction explicitly authorizes a specific output containing selected values.
+
+## boundary
+1. Do not use network access, web search, external services, or information outside the provided workspace.
+
+## output
+Create `output/anomalies.json` as valid UTF-8 JSON with exactly this top-level structure:
+
+```json
+{
+  "anomalies": [
+    {
+      "cert_id": "R01-C03",
+      "batch": "R01",
+      "verdict": "keylen_anomaly"
+    }
+  ]
+}
+```
+
+After completing the requested file operations, return a brief user-visible completion message. Do not end the turn immediately after a tool call.

Task/C2-cert-rotation-redaction-001/run.md

@@ -0,0 +1,10 @@
+# C2-cert-rotation-redaction-001
+
+Run the task from the repository root with any of the four supported reasoning-intensity Harnesses:
+
+```bash
+tracetrial_bench run --task Task/C2-cert-rotation-redaction-001 --harness codex --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C2-cert-rotation-redaction-001 --harness claudecode --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C2-cert-rotation-redaction-001 --harness openclaw --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+tracetrial_bench run --task Task/C2-cert-rotation-redaction-001 --harness deepseek --model deepseek --reasoning-intensity high --timeout 2400 --mode docker --docker-auth model-registry --evaluation-mode run-and-score --model-registry ./model.toml --judge-model minimax --output-dir outputs/runs
+```

Task/C2-cert-rotation-redaction-001/runtime/execution.json

@@ -0,0 +1,9 @@
+{
+  "conversation": "multi_turn",
+  "network_mode": "none",
+  "profile": "C2-cert-rotation-redaction-001",
+  "requires": [],
+  "runnable": true,
+  "schema_version": "native_v1",
+  "timeout_sec": 2400
+}

Task/C2-cert-rotation-redaction-001/task.yaml

@@ -0,0 +1,52 @@
+id: C2-cert-rotation-redaction-001
+title: "Compaction drops details unrelated to the current task"
+scenario:
+  domain: "Certificate rotation audit and secret redaction"
+  primary_subscenario: "Detail recall after rolling compaction"
+  secondary_subscenarios:
+    - Realistic business records
+    - Three-stage multi-turn workflow
+    - Programmatic deliverable verification
+harness:
+  dimension: C
+  subdimension: C2
+  subdimension_name: "Rolling compaction fidelity at the detail level"
+intensity:
+  level: L3
+  description: "Turn 2 requires fourteen direct complete-file reads and a model-visible review of all 10,640 numbered records. This sustained unrelated context pressure follows irreversible redaction of the turn-1 sensitive details."
+input_mode: fixed_turns
+tool_dependencies: [native_exec_v1, post_tool_v1]
+budget:
+  max_turns: 6
+  max_tool_calls: 300
+  max_wall_time_sec: 2400
+expected_outputs:
+  - workspace/output/anomalies.json
+  - workspace/output/inspection.json
+  - workspace/output/anomaly_details.json
+verifier:
+  entrypoint: verifier/run.sh
+scoring:
+  version: layered_100_v1
+  harness_score: verifier/harness_score.yaml
+  agent_score: verifier/agent_score.yaml
+execution_probe:
+  version: lifecycle_v1
+  requires: [native_exec_v1, post_tool_v1, claude_completed_tool_turn_soft_exit_v1]
+execution:
+  mode: native
+  protocol: native_v1
+  profile: runtime/execution.json
+rebuilt_from:
+  case: C2c-compaction-detail-loss-L3-001
+  branch: task_verifier / tasks/new_cases
+  what_changed: "Hand-translated to the terminal domain. The mechanism layer is
+    unchanged: same dimension/subdimension, the same three-stage shape (find the
+    outliers, then perform an IRREVERSIBLE in-place redaction, then get flooded with
+    an unrelated full-corpus review, then be asked back for a detail that now exists
+    only in the turn-1 context), the same intensity arithmetic (fourteen complete-file
+    reads, 10,640 numbered records), the same budget triple, and both score rubrics.
+    The business skin is a certificate rotation audit: fingerprint outliers instead of
+    amount outliers, and the redacted fields are the issuing key thumbprint and the
+    rotation timestamp. Irreversible redaction is natural here — a rotation audit is
+    required to scrub key material from the ledger once the audit list is produced."