c8264cd7-40ec-4d52-b3e8-e07a0d8a710f.jsonl

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{"parentUuid":"d9ed6d67-1e29-4bdc-b4f4-c4b47c73a458","isSidechain":false,"attachment":{"type":"skill_listing","content":"- context7-mcp: This skill should be used when the user asks about libraries, frameworks, API references, or needs code examples. Activates for setup questions, code generation involving libraries, or mentions of specific frameworks like React, Vue, Next.js, Prisma, Supabase, etc.\n- paperclip: Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.\n- paperclip-converting-plans-to-tasks: The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.\n- paperclip-create-agent: Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.\n- paperclip-dev: Develop and operate a local Paperclip instance — start and stop servers, pull updates from master, run builds and tests, manage worktrees, back up databases, and diagnose problems. Use whenever you need to work on the Paperclip codebase itself or keep a running instance healthy.\n- para-memory-files: File-based memory system using Tiago Forte's PARA method. Use this skill whenever you need to store, retrieve, update, or organize knowledge across sessions. Covers three memory layers: (1) Knowledge graph in PARA folders with atomic YAML facts, (2) Daily notes as raw timeline, (3) Tacit knowledge about user patterns. Also handles planning files, memory decay, weekly synthesis, and recall via qmd. Trigger on any memory operation: saving facts, writing daily notes, creating entities, running weekly synthesis, recalling past context, or managing plans.\n- subagents: Orcistrator Skill\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- caveman:caveman: Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says \"caveman mode\", \"talk like caveman\", \"use caveman\", \"less tokens\", \"be brief\", or invokes /caveman. Also auto-triggers when token efficiency is requested.\n- caveman:caveman-commit: Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when \"why\" isn't obvious. Use when user says \"write a commit\", \"commit message\", \"generate commit\", \"/commit\", or invokes /caveman-commit. Auto-triggers when staging changes.\n- caveman:caveman-help: Quick-reference card for all caveman modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /caveman-help, \"caveman help\", \"what caveman commands\", \"how do I use caveman\".\n- caveman:caveman-review: Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says \"review this PR\", \"code review\", \"review the diff\", \"/review\", or invokes /caveman-review. Auto-triggers when reviewing pull requests.\n- caveman:compress: Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman:compress <filepath> or \"compress memory file\"\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. 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Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. 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{"parentUuid":"bd16c852-ef7b-4b23-a941-fb5910cb0e71","isSidechain":false,"promptId":"aa7acd37-c3c1-4fab-8dcb-fcaf7cefecef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LTEnWChL6FUN1gScdfdTCj","type":"tool_result","content":"1\t# AGENTS.md — Operating Rules for AI Agents in MythosMini\n2\t\n3\tMythosMini is a small language model (\"mini Fable\") built in Python 3.12. This file is the contract for any agent working here. Read it fully, then read `journal.md` before starting any task. Detailed procedures live in `docs/rules/` — read the relevant one before doing that kind of work; they are part of this contract, not optional extras.\n4\t\n5\t## Commands\n6\t\n7\t```bash\n8\tmake setup    # create .venv and install pinned dependencies (idempotent)\n9\tmake test     # run the full test suite: pytest tests/ -v\n10\tmake lint     # ruff format --check + ruff check + pyaot type check + docs audit\n11\tmake fix      # ruff format + ruff check --fix (apply formatting)\n12\tmake run      # run the application entry point\n13\tmake pyaot    # run pyaot on the entire project (python pyaot.py .)\n14\t```\n15\t\n16\tThese five entry points must always work with no arguments and no manual configuration. If your change affects setup, running, or testing, update the Makefile in the same session and re-run the affected target to prove it still works.\n17\t\n18\t## Session Workflow\n19\t\n20\tFollow these steps in order for every task:\n21\t\n22\t1. Read `journal.md` — the entire file, every entry in full. Note any past failures or open items relevant to your task; never retry a recorded failed approach unchanged.\n23\t2. Look up the functions you will touch in `docs/functions.md`.\n24\t3. Prove any new piece (function, dependency, algorithm) in an isolated test under `tests/` before integrating it into source files. Details: `docs/rules/testing.md`.\n25\t4. Make the change, following the code rules below.\n26\t5. Run `make lint` and `make test`. Both must pass clean.\n27\t6. Run `make pyaot` on the entire project directory. If false-positives occur, edit `pyaot.py` to suppress them (adjust type narrowers, annotation inference, or built-in knowledge); never silence a true positive. Repeat until clean.\n28\t7. Update `docs/functions.md` for every function added, changed, or removed. Details: `docs/rules/documentation.md`.\n29\t8. Write a `journal.md` entry using the template in `docs/rules/journal.md`. Also journal mid-task whenever you finish a meaningful unit or abandon an approach — not only at the end.\n30\t9. Review `git diff`; revert any line not required by the task.\n31\t10. Commit in small units with short plain messages. Details: `docs/rules/process.md`.\n32\t11. Run the final checklist at the bottom of this file.\n33\t\n34\t## Boundaries\n35\t\n36\t| ✅ Always | ⚠️ Ask the user first | 🚫 Never |\n37\t|---|---|---|\n38\t| Write real, complete, working implementations | Editing files outside the task's scope | Placeholder values, stub functions, TODO/FIXME markers |\n39\t| Run `make lint` and `make test` before declaring done | Deleting source files or functions the task didn't call for | Comments or docstrings in source code |\n40\t| Document every function in `docs/functions.md` | Upgrading or adding a dependency mid-task | Bare `except:` or silently swallowed errors |\n41\t| Journal frequently with the full template | Revisiting an approach `journal.md` records as failed | `# type: ignore`, lint-ignore directives, skipped or weakened tests |\n42\t| Commit each working unit as you go | Anything irreversible (force-push, history rewrite, data deletion) | Secrets or absolute paths in code; secrets in git |\n43\t| Prove new code in `tests/` before integration | Restructuring `tests/`, `docs/`, or the Makefile | Reporting success with failing or unrun tests |\n44\t\n45\t## Code Rules\n46\t\n47\t**Real implementations only.** Every value, function, and config you write is the actual final version. No `YOUR_API_KEY`, no `example.com`, no `pass` bodies, no \"replace this later\". If you lack information only the user has (a credential, a decision), stop and ask rather than inventing a stand-in. Before finishing a file, search it for `TODO`, `FIXME`, `placeholder`, and stub bodies.\n48\t\n49\t**No comments — document in `docs/functions.md` instead.** Source code carries meaning through names and structure alone. Every function gets a full entry in `docs/functions.md` (purpose, parameters, returns, side effects, failure modes, callers/callees, last-modified). Add the entry when you add the function, update it when you change it, delete it when you delete it — same session. Entry format and a complete example: `docs/rules/documentation.md`.\n50\t\n51\t**Fully typed.** Every parameter, return value, and class attribute is annotated. Ignore mypy — `pyaot.py` is this project's type checker. `make pyaot` must pass clean on everything you touch, and you follow its advice: fix the code it flags rather than suppressing it. If pyaot itself has a bug (a false positive or a crash), fix `pyaot.py` in the same session; never silence a true positive. Avoid `Any`; where it is genuinely unavoidable, explain why in the function's doc entry.\n52\t\n53\t**Small and flat.** Functions stay under ~40 lines and 3 levels of nesting. Use guard clauses and extraction. If a function's honest name needs the word \"and\", split it. Extracted helpers get doc entries and test coverage like any function.\n54\t\n55\t**Naming.** Match the existing codebase conventions first. Where none exist: `snake_case` for functions, variables, and files; `PascalCase` for classes; `SCREAMING_SNAKE_CASE` for constants. Names state intent precisely:\n56\t\n57\t```python\n58\tdef retry_failed_uploads(pending_jobs: list[UploadJob], timeout_seconds: float) -> list[UploadJob]:\n59\t```\n60\t\n61\tnot `def process2(data, t):`. Booleans read as predicates (`is_ready`), collections are plural, units go in the name when ambiguous.\n62\t\n63\t**No dead code.** In files you are working on, delete unused imports, variables, unreachable branches, and functions with zero callers (verify with a repo-wide grep first). Git history is the archive — note the last commit hash in `journal.md` if it might be wanted again. Dead code in files outside your task is a journal finding, not a deletion.\n64\t\n65\t**Fail loud.** Catch only specific exceptions you can genuinely handle. Don't return `None` or empty defaults to paper over a failure the caller needs to know about. Validate inputs at boundaries (CLI args, file contents, network responses) and fail there with a message stating what was expected and what was received. Every failure mode you introduce is documented in the function's doc entry and exercised by a test where practical.\n66\t\n67\t**No hardcoded paths or secrets.** Secrets come from environment variables or a git-ignored `.env`; if a real secret is needed and unavailable, ask the user. Paths are computed relative to the repository root. Tunable values (paths, ports, model hyperparameters, thresholds) live in one config module with defaults sane enough that `make run` and `make test` work untouched.\n68\t\n69\t## Testing Rules\n70\t\n71\tThe codebase is the expensive PC; `tests/` is the trash PC you try parts on first. Nothing unproven gets installed in the expensive one.\n72\t\n73\t**Sandbox first.** Before a new function, dependency, or algorithm lands in a source file: write a test in `tests/` that exercises it in isolation with real inputs and real assertions, run it, see it pass, then integrate. This applies even to one-liners you are sure about. If the isolated test fails, the source tree stays untouched while you iterate in `tests/`, journaling failed attempts.\n74\t\n75\t**E2E on everything.** Every change — however small — gets an end-to-end test that exercises the real entry point with real inputs, plus a real run of the suite (`make test`), with the actual output recorded in the journal. Unit tests are welcome additions, never substitutes. Failing tests mean the task is not done: fix the code, or journal the exact failure state and report it. Never delete, skip, or weaken a test to make it pass.\n76\t\n77\t**Tests are permanent and committed.** Isolated proving tests go in `tests/`, end-to-end suites in `tests/e2e/`. They are regression evidence, not scratch files. Full procedure: `docs/rules/testing.md`.\n78\t\n79\t## Scope Rules\n80\t\n81\tTouch only the files and lines the task requires. Needing to edit `batch.py` is not license to refactor, reformat, or \"clean up\" `LR.py` or anything else. Before editing a file, check its dependents via the callers/callees in `docs/functions.md`; after editing, the tests prove dependents still work. No drive-by renames, reformatting of untouched code, dependency bumps, or deletions outside the task. If an out-of-scope problem genuinely blocks you, journal it and ask the user before touching it. The `git diff` review in step 8 is where you catch and revert scope creep.\n82\t\n83\t## Training Script Change Rules\n84\t\n85\tWhenever you edit the training script (`train.py` or anything under `src/mythosmini/`) to change training behavior, you MUST run a full 2B-token test for that change before it is accepted: `python3 train.py 2 4`, end to end through benchmarking and SLERP. Tiny changes that do not affect training behavior (refactors, dedup, logging, post-training tooling) are exempt — `make test` suffices for those; when in doubt, run the full test. One feature per test — never add two things and then test, because you will not know what did what. Each feature gets its own change, its own 2B-token run, and its own row in `scores.md` recording the commit ID, what was done, whether it is being kept or reverted, a description, and the resulting benchmark scores. A change without its 2B-token test result in `scores.md` is not done.\n86\t\n87\t## Process Rules\n88\t\n89\t**Commits:** commit after every small unit that leaves the repo working — many per session, never one big one at the end. Committing is your default behavior; do not wait for the user to ask. Messages are one line, lowercase, plain, stating what changed:\n90\t\n91\t```\n92\tfix off-by-one in batch loader\n93\tadd e2e test for tokenizer round-trip\n94\t```\n95\t\n96\tNo prefixes, no bullet lists, no bodies, no trailers, no emoji. Never commit a known-broken state without marking it (`wip: parser broken on empty input`) and fixing it in the next commits.\n97\t\n98\t**Dependencies:** exact pins only (`torch==2.9.1`), in `requirements.txt`. Adding one means: pin the version you tested, update `make setup`, journal why it was needed. Prefer the standard library when it does the job. Upgrades are their own explicit task, never a side effect.\n99\t\n100\t**Journal:** `journal.md` is append-only institutional memory. Every entry uses the full template (TL;DR, long description, what worked, what failed, what was kept/discarded, next steps) with absolute timestamps and verbatim error messages. Correct wrong past entries with a new entry referencing the old one, never by editing. Template and example: `docs/rules/journal.md`.\n101\t\n102\t**Doc pruning:** at the end of every response, do a quick pass over `docs/functions.md` — grep-check that functions you touched still exist and have callers, delete dead entries. Seconds, not minutes. Do a full audit of every entry only when the user explicitly asks for a thorough prune. This rule deletes documentation only, never source code.\n103\t\n104\t## Final Checklist\n105\t\n106\tBefore declaring any task complete, verify each item. Any failure means the task is not done — fix it or report the exact blocker.\n107\t\n108\t1. `make lint` clean (format, ruff, pyaot, documentation audit, no comments — zero warnings, zero suppressions).\n109\t2. `make test` passes, including the new E2E test for this change — actually run, output captured.\n110\t3. `make pyaot` clean (no errors, no false positives — pyaot.py was updated if needed).\n111\t4. New pieces were proven in `tests/` before integration, and those tests are committed.\n112\t5. Makefile and `requirements.txt` current if setup, run, test, or dependencies changed.\n113\t6. `git diff` reviewed; every changed line justified by the task.\n114\t7. `docs/functions.md` updated for every function added/changed/removed; stale entries pruned.\n115\t8. `journal.md` entry written with the full template, including test output and what was kept/discarded.\n116\t9. Work committed in small, plain-message commits.\n117\t10. The diff contains no placeholders, no comments, no ignore directives.\n118\t"}]},"uuid":"4820feb6-bd0d-44ad-96cb-c78ea7a2c19b","timestamp":"2026-06-12T23:02:17.131Z","toolUseResult":{"type":"text","file":{"filePath":"/home/user1/MythosMini/AGENTS.md","content":"# AGENTS.md — Operating Rules for AI Agents in MythosMini\n\nMythosMini is a small language model (\"mini Fable\") built in Python 3.12. This file is the contract for any agent working here. Read it fully, then read `journal.md` before starting any task. Detailed procedures live in `docs/rules/` — read the relevant one before doing that kind of work; they are part of this contract, not optional extras.\n\n## Commands\n\n```bash\nmake setup    # create .venv and install pinned dependencies (idempotent)\nmake test     # run the full test suite: pytest tests/ -v\nmake lint     # ruff format --check + ruff check + pyaot type check + docs audit\nmake fix      # ruff format + ruff check --fix (apply formatting)\nmake run      # run the application entry point\nmake pyaot    # run pyaot on the entire project (python pyaot.py .)\n```\n\nThese five entry points must always work with no arguments and no manual configuration. If your change affects setup, running, or testing, update the Makefile in the same session and re-run the affected target to prove it still works.\n\n## Session Workflow\n\nFollow these steps in order for every task:\n\n1. Read `journal.md` — the entire file, every entry in full. Note any past failures or open items relevant to your task; never retry a recorded failed approach unchanged.\n2. Look up the functions you will touch in `docs/functions.md`.\n3. Prove any new piece (function, dependency, algorithm) in an isolated test under `tests/` before integrating it into source files. Details: `docs/rules/testing.md`.\n4. Make the change, following the code rules below.\n5. Run `make lint` and `make test`. Both must pass clean.\n6. Run `make pyaot` on the entire project directory. If false-positives occur, edit `pyaot.py` to suppress them (adjust type narrowers, annotation inference, or built-in knowledge); never silence a true positive. Repeat until clean.\n7. Update `docs/functions.md` for every function added, changed, or removed. Details: `docs/rules/documentation.md`.\n8. Write a `journal.md` entry using the template in `docs/rules/journal.md`. Also journal mid-task whenever you finish a meaningful unit or abandon an approach — not only at the end.\n9. Review `git diff`; revert any line not required by the task.\n10. Commit in small units with short plain messages. Details: `docs/rules/process.md`.\n11. Run the final checklist at the bottom of this file.\n\n## Boundaries\n\n| ✅ Always | ⚠️ Ask the user first | 🚫 Never |\n|---|---|---|\n| Write real, complete, working implementations | Editing files outside the task's scope | Placeholder values, stub functions, TODO/FIXME markers |\n| Run `make lint` and `make test` before declaring done | Deleting source files or functions the task didn't call for | Comments or docstrings in source code |\n| Document every function in `docs/functions.md` | Upgrading or adding a dependency mid-task | Bare `except:` or silently swallowed errors |\n| Journal frequently with the full template | Revisiting an approach `journal.md` records as failed | `# type: ignore`, lint-ignore directives, skipped or weakened tests |\n| Commit each working unit as you go | Anything irreversible (force-push, history rewrite, data deletion) | Secrets or absolute paths in code; secrets in git |\n| Prove new code in `tests/` before integration | Restructuring `tests/`, `docs/`, or the Makefile | Reporting success with failing or unrun tests |\n\n## Code Rules\n\n**Real implementations only.** Every value, function, and config you write is the actual final version. No `YOUR_API_KEY`, no `example.com`, no `pass` bodies, no \"replace this later\". If you lack information only the user has (a credential, a decision), stop and ask rather than inventing a stand-in. Before finishing a file, search it for `TODO`, `FIXME`, `placeholder`, and stub bodies.\n\n**No comments — document in `docs/functions.md` instead.** Source code carries meaning through names and structure alone. Every function gets a full entry in `docs/functions.md` (purpose, parameters, returns, side effects, failure modes, callers/callees, last-modified). Add the entry when you add the function, update it when you change it, delete it when you delete it — same session. Entry format and a complete example: `docs/rules/documentation.md`.\n\n**Fully typed.** Every parameter, return value, and class attribute is annotated. Ignore mypy — `pyaot.py` is this project's type checker. `make pyaot` must pass clean on everything you touch, and you follow its advice: fix the code it flags rather than suppressing it. If pyaot itself has a bug (a false positive or a crash), fix `pyaot.py` in the same session; never silence a true positive. Avoid `Any`; where it is genuinely unavoidable, explain why in the function's doc entry.\n\n**Small and flat.** Functions stay under ~40 lines and 3 levels of nesting. Use guard clauses and extraction. If a function's honest name needs the word \"and\", split it. Extracted helpers get doc entries and test coverage like any function.\n\n**Naming.** Match the existing codebase conventions first. Where none exist: `snake_case` for functions, variables, and files; `PascalCase` for classes; `SCREAMING_SNAKE_CASE` for constants. Names state intent precisely:\n\n```python\ndef retry_failed_uploads(pending_jobs: list[UploadJob], timeout_seconds: float) -> list[UploadJob]:\n```\n\nnot `def process2(data, t):`. Booleans read as predicates (`is_ready`), collections are plural, units go in the name when ambiguous.\n\n**No dead code.** In files you are working on, delete unused imports, variables, unreachable branches, and functions with zero callers (verify with a repo-wide grep first). Git history is the archive — note the last commit hash in `journal.md` if it might be wanted again. Dead code in files outside your task is a journal finding, not a deletion.\n\n**Fail loud.** Catch only specific exceptions you can genuinely handle. Don't return `None` or empty defaults to paper over a failure the caller needs to know about. Validate inputs at boundaries (CLI args, file contents, network responses) and fail there with a message stating what was expected and what was received. Every failure mode you introduce is documented in the function's doc entry and exercised by a test where practical.\n\n**No hardcoded paths or secrets.** Secrets come from environment variables or a git-ignored `.env`; if a real secret is needed and unavailable, ask the user. Paths are computed relative to the repository root. Tunable values (paths, ports, model hyperparameters, thresholds) live in one config module with defaults sane enough that `make run` and `make test` work untouched.\n\n## Testing Rules\n\nThe codebase is the expensive PC; `tests/` is the trash PC you try parts on first. Nothing unproven gets installed in the expensive one.\n\n**Sandbox first.** Before a new function, dependency, or algorithm lands in a source file: write a test in `tests/` that exercises it in isolation with real inputs and real assertions, run it, see it pass, then integrate. This applies even to one-liners you are sure about. If the isolated test fails, the source tree stays untouched while you iterate in `tests/`, journaling failed attempts.\n\n**E2E on everything.** Every change — however small — gets an end-to-end test that exercises the real entry point with real inputs, plus a real run of the suite (`make test`), with the actual output recorded in the journal. Unit tests are welcome additions, never substitutes. Failing tests mean the task is not done: fix the code, or journal the exact failure state and report it. Never delete, skip, or weaken a test to make it pass.\n\n**Tests are permanent and committed.** Isolated proving tests go in `tests/`, end-to-end suites in `tests/e2e/`. They are regression evidence, not scratch files. Full procedure: `docs/rules/testing.md`.\n\n## Scope Rules\n\nTouch only the files and lines the task requires. Needing to edit `batch.py` is not license to refactor, reformat, or \"clean up\" `LR.py` or anything else. Before editing a file, check its dependents via the callers/callees in `docs/functions.md`; after editing, the tests prove dependents still work. No drive-by renames, reformatting of untouched code, dependency bumps, or deletions outside the task. If an out-of-scope problem genuinely blocks you, journal it and ask the user before touching it. The `git diff` review in step 8 is where you catch and revert scope creep.\n\n## Training Script Change Rules\n\nWhenever you edit the training script (`train.py` or anything under `src/mythosmini/`) to change training behavior, you MUST run a full 2B-token test for that change before it is accepted: `python3 train.py 2 4`, end to end through benchmarking and SLERP. Tiny changes that do not affect training behavior (refactors, dedup, logging, post-training tooling) are exempt — `make test` suffices for those; when in doubt, run the full test. One feature per test — never add two things and then test, because you will not know what did what. Each feature gets its own change, its own 2B-token run, and its own row in `scores.md` recording the commit ID, what was done, whether it is being kept or reverted, a description, and the resulting benchmark scores. A change without its 2B-token test result in `scores.md` is not done.\n\n## Process Rules\n\n**Commits:** commit after every small unit that leaves the repo working — many per session, never one big one at the end. Committing is your default behavior; do not wait for the user to ask. Messages are one line, lowercase, plain, stating what changed:\n\n```\nfix off-by-one in batch loader\nadd e2e test for tokenizer round-trip\n```\n\nNo prefixes, no bullet lists, no bodies, no trailers, no emoji. Never commit a known-broken state without marking it (`wip: parser broken on empty input`) and fixing it in the next commits.\n\n**Dependencies:** exact pins only (`torch==2.9.1`), in `requirements.txt`. Adding one means: pin the version you tested, update `make setup`, journal why it was needed. Prefer the standard library when it does the job. Upgrades are their own explicit task, never a side effect.\n\n**Journal:** `journal.md` is append-only institutional memory. Every entry uses the full template (TL;DR, long description, what worked, what failed, what was kept/discarded, next steps) with absolute timestamps and verbatim error messages. Correct wrong past entries with a new entry referencing the old one, never by editing. Template and example: `docs/rules/journal.md`.\n\n**Doc pruning:** at the end of every response, do a quick pass over `docs/functions.md` — grep-check that functions you touched still exist and have callers, delete dead entries. Seconds, not minutes. Do a full audit of every entry only when the user explicitly asks for a thorough prune. This rule deletes documentation only, never source code.\n\n## Final Checklist\n\nBefore declaring any task complete, verify each item. Any failure means the task is not done — fix it or report the exact blocker.\n\n1. `make lint` clean (format, ruff, pyaot, documentation audit, no comments — zero warnings, zero suppressions).\n2. `make test` passes, including the new E2E test for this change — actually run, output captured.\n3. `make pyaot` clean (no errors, no false positives — pyaot.py was updated if needed).\n4. New pieces were proven in `tests/` before integration, and those tests are committed.\n5. Makefile and `requirements.txt` current if setup, run, test, or dependencies changed.\n6. `git diff` reviewed; every changed line justified by the task.\n7. `docs/functions.md` updated for every function added/changed/removed; stale entries pruned.\n8. `journal.md` entry written with the full template, including test output and what was kept/discarded.\n9. 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pointer-events:none;\n63\t      stroke-dasharray:0 var(--path-length);\n64\t      stroke-dashoffset:var(--dash-offset);\n65\t      opacity:0;\n66\t      animation:\n67\t        aiLogoDrawSegment202606 var(--segment-duration,.12s) cubic-bezier(.32,.02,.11,1) var(--delay,0s) forwards,\n68\t        aiLogoSegmentIn202606 .18s ease-out var(--delay,0s) forwards;\n69\t    }\n70\t    .ai-drop-logo-202606::after{\n71\t      content:\"\";\n72\t      position:absolute;\n73\t      inset:-20%;\n74\t      pointer-events:none;\n75\t      opacity:0;\n76\t      mix-blend-mode:screen; /* Changed to screen for light sweep on dark bg */\n77\t      background:linear-gradient(110deg,transparent 35%,rgba(255,255,255,.08) 46%,rgba(255,255,255,.35) 51%,rgba(255,255,255,.08) 56%,transparent 65%);\n78\t      transform:translateX(-90%) skewX(-16deg);\n79\t      animation:aiLogoSweep202606 .8s cubic-bezier(.4,0,.2,1) var(--sweep-delay,1.55s) both;\n80\t    }\n81\t    @keyframes aiLogoDrawSegment202606{to{stroke-dasharray:var(--segment-length) var(--path-length);}}\n82\t    @keyframes aiLogoSegmentIn202606{from{opacity:0;}to{opacity:1;}}\n83\t    .ai-wordmark-202606{\n84\t      font-family:'Cinzel',Georgia,'Times New Roman',serif;\n85\t      font-size:calc(var(--logo-size) * .07);\n86\t      font-weight:400;\n87\t      letter-spacing:.16em;\n88\t      max-width:100%;\n89\t      text-transform:uppercase;\n90\t      color:var(--stroke-color);\n91\t      white-space:nowrap;\n92\t      perspective:600px;\n93\t      user-select:none;\n94\t    }\n95\t    .ai-wordmark-202606 .ai-word-glint-202606{font-weight:700;}\n96\t    .ai-wordmark-202606 .ai-word-glint-202606 .ai-letter-202606{\n97\t      background:linear-gradient(100deg,#F97316 20%,#FDBA74 50%,#F97316 80%);\n98\t      background-size:250% 100%;\n99\t      -webkit-background-clip:text;\n100\t      background-clip:text;\n101\t      -webkit-text-fill-color:transparent;\n102\t      color:#F97316;\n103\t      animation:\n104\t        aiLogoLetterIn202606 .7s cubic-bezier(.22,1.4,.36,1) var(--delay,0s) forwards,\n105\t        aiLogoShimmer202606 .9s ease var(--shimmer-delay,3.8s) both;\n106\t    }\n107\t    .ai-wordmark-202606 .ai-letter-202606{\n108\t      display:inline-block;\n109\t      opacity:0;\n110\t      transform:translateY(.6em) rotateX(70deg);\n111\t      transform-origin:50% 100%;\n112\t      filter:blur(6px);\n113\t      animation:aiLogoLetterIn202606 .7s cubic-bezier(.22,1.4,.36,1) var(--delay,0s) forwards;\n114\t    }\n115\t    @keyframes aiLogoLetterIn202606{\n116\t      60%{filter:blur(0);}\n117\t      to{opacity:1;transform:translateY(0) rotateX(0deg);filter:blur(0);}\n118\t    }\n119\t    @keyframes aiLogoShimmer202606{from{background-position:120% 0;}to{background-position:-30% 0;}}\n120\t    @keyframes aiLogoSettle202606{\n121\t      0%{transform:scale(1);}\n122\t      35%{transform:scale(1.025);filter:drop-shadow(0 0 18px rgba(250,250,249,.3));}\n123\t      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lang=\"en\">\n<head>\n<meta charset=\"utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n<title>Drop Anywhere SVG Stroke Logo Intro</title>\n<style>\n  html,body{margin:0;min-height:100%;background:#18181b;display:grid;place-items:center;font-family:system-ui,sans-serif;}\n</style>\n</head>\n<body>\n\n<!-- COPY FROM HERE -->\n<div class=\"ai-drop-logo-202606\" data-duration=\"0.9\" data-path-stagger=\"0.19\" data-stroke-width=\"3\" data-split-pieces=\"48\" data-order=\"outside-in\" aria-label=\"Animated logo intro\">\n  <style>\n    @import url('https://fonts.googleapis.com/css2?family=Cinzel:wght@400..900&display=swap');\n    .ai-drop-logo-202606{\n      --logo-size:min(72vmin,560px);\n      --stroke-color:#FAFAF9; /* Changed stroke to light color so it's visible on dark bg */\n      --duration:.9s;\n      width:var(--logo-size);\n      display:grid;\n      grid-template-rows:auto auto;\n      justify-items:center;\n      row-gap:calc(var(--logo-size) * .04);\n      position:relative;\n      overflow:hidden;\n      border-radius:0;\n      background:transparent; /* Transparent background */\n      isolation:isolate;\n    }\n    .ai-drop-logo-202606,\n    .ai-drop-logo-202606 *{box-sizing:border-box;}\n    .ai-drop-logo-202606 > svg{\n      width:100%;\n      aspect-ratio:1/1;\n      display:block;\n      overflow:visible;\n      filter:drop-shadow(0 10px 24px rgba(0,0,0,.12));\n      animation:aiLogoCameraIn202606 1.15s cubic-bezier(.2,.8,.18,1) both;\n    }\n    .ai-drop-logo-202606{\n      animation:aiLogoSettle202606 .9s cubic-bezier(.34,1.56,.64,1) var(--draw-end,2.4s) both;\n    }\n    /* Hide the static background completely */\n    .ai-drop-logo-202606 .ai-static-bg-202606{display:none !important;}\n    \n    .ai-drop-logo-202606 .ai-fill-source-202606{\n      opacity:0;\n      stroke:transparent!important;\n      fill:transparent!important; /* Outline-only logo: fills never show */\n      pointer-events:none;\n    }\n    .ai-drop-logo-202606 .ai-draw-segment-202606{\n      stroke:var(--stroke-color)!important;\n      stroke-width:var(--stroke-width,.4)!important;\n      stroke-linecap:butt!important;\n      stroke-linejoin:round!important;\n      vector-effect:non-scaling-stroke;\n      fill:transparent!important; /* Crucial: keep fill transparent during draw */\n      opacity:1;\n      pointer-events:none;\n      stroke-dasharray:0 var(--path-length);\n      stroke-dashoffset:var(--dash-offset);\n      opacity:0;\n      animation:\n        aiLogoDrawSegment202606 var(--segment-duration,.12s) cubic-bezier(.32,.02,.11,1) var(--delay,0s) forwards,\n        aiLogoSegmentIn202606 .18s ease-out var(--delay,0s) forwards;\n    }\n    .ai-drop-logo-202606::after{\n      content:\"\";\n      position:absolute;\n      inset:-20%;\n      pointer-events:none;\n      opacity:0;\n      mix-blend-mode:screen; /* Changed to screen for light sweep on dark bg */\n      background:linear-gradient(110deg,transparent 35%,rgba(255,255,255,.08) 46%,rgba(255,255,255,.35) 51%,rgba(255,255,255,.08) 56%,transparent 65%);\n      transform:translateX(-90%) skewX(-16deg);\n      animation:aiLogoSweep202606 .8s cubic-bezier(.4,0,.2,1) var(--sweep-delay,1.55s) both;\n    }\n    @keyframes aiLogoDrawSegment202606{to{stroke-dasharray:var(--segment-length) var(--path-length);}}\n    @keyframes aiLogoSegmentIn202606{from{opacity:0;}to{opacity:1;}}\n    .ai-wordmark-202606{\n      font-family:'Cinzel',Georgia,'Times New Roman',serif;\n      font-size:calc(var(--logo-size) * .07);\n      font-weight:400;\n      letter-spacing:.16em;\n      max-width:100%;\n      text-transform:uppercase;\n      color:var(--stroke-color);\n      white-space:nowrap;\n      perspective:600px;\n      user-select:none;\n    }\n    .ai-wordmark-202606 .ai-word-glint-202606{font-weight:700;}\n    .ai-wordmark-202606 .ai-word-glint-202606 .ai-letter-202606{\n      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aiLogoSettle202606{\n      0%{transform:scale(1);}\n      35%{transform:scale(1.025);filter:drop-shadow(0 0 18px rgba(250,250,249,.3));}\n      100%{transform:scale(1);filter:drop-shadow(0 0 6px rgba(250,250,249,.12));}\n    }\n    @media (prefers-reduced-motion: reduce){\n      .ai-drop-logo-202606,\n      .ai-drop-logo-202606 > svg{animation:none;}\n      .ai-drop-logo-202606::after{animation:none;}\n      .ai-drop-logo-202606 .ai-draw-segment-202606{animation:none;opacity:1;stroke-dasharray:var(--segment-length) var(--path-length);}\n      .ai-drop-logo-202606 .ai-letter-202606,\n      .ai-drop-logo-202606 .ai-word-glint-202606 .ai-letter-202606{animation:none;opacity:1;transform:none;filter:none;}\n    }\n    @keyframes aiLogoCameraIn202606{0%{opacity:0;transform:scale(.94);filter:blur(7px) drop-shadow(0 10px 24px rgba(0,0,0,.12));}55%{opacity:1;filter:blur(0) drop-shadow(0 10px 24px rgba(0,0,0,.12));}100%{opacity:1;transform:scale(1);}}\n    @keyframes 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