Publish Layerfault synthetic corpus LF-CORPUS-CONFIG-0001

LAYERFAULT_CORPUS.json

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+{
+  "candidate_rules": [],
+  "corpus_id": "LF-CORPUS-CONFIG-0001",
+  "description": "Config fields that select a custom activation, tokenizer class and processor class.",
+  "expected_rules": [
+    "LF-CONFIG-ACTIVATION-IMPORT",
+    "LF-CONFIG-CUSTOM-CLASS"
+  ],
+  "generator": "security_edges.declarative_execution",
+  "ground_truth": "synthetic-generated",
+  "must_not_rules": [],
+  "repo_name": "declarative-execution-suite",
+  "repo_type": "model",
+  "safety": "inert/canary-only",
+  "schema": 1,
+  "validation": {
+    "kind": "verify-package",
+    "target": "."
+  }
+}

README.md

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+---
+license: apache-2.0
+tags:
+- layerfault
+- security-research
+- model-security
+- synthetic
+- adversarial-testing
+extra_gated_prompt: >-
+  This repository is a synthetic security-test artifact from the Layerfault
+  corpus. It intentionally contains adversarial characteristics (e.g.
+  suspicious pickle opcodes, executable-format smuggling, prompt-injection
+  strings) designed to exercise security scanner detection rules. It is
+  **not** a usable ML model and must never be loaded or executed outside an
+  isolated scanner-testing environment. By accepting, you confirm you
+  understand this repository is a test fixture, not production model
+  weights.
+extra_gated_button_content: I understand this is a security test fixture and accept the risk
+gated: auto
+---
+
+# declarative-execution-suite
+
+> **SECURITY TEST ARTIFACT — DO NOT USE AS A PRODUCTION MODEL**
+
+This repository is part of the Layerfault synthetic security corpus.
+It is deliberately constructed to contain security-relevant characteristics for scanner testing.
+
+**Corpus ID:** `LF-CORPUS-CONFIG-0001`
+
+## Purpose
+
+Config fields that select a custom activation, tokenizer class and processor class.
+
+## Direct expected Layerfault rules
+
+- `LF-CONFIG-ACTIVATION-IMPORT`
+- `LF-CONFIG-CUSTOM-CLASS`
+
+## Candidate rules
+
+These are deliberately plausible targets that remain marked as candidates until the exact
+Layerfault build used for certification confirms them.
+
+- None
+
+## Negative-control rules
+
+These should remain silent for this corpus item.
+
+- None
+
+## Safety
+
+The corpus uses fake secrets, loopback/`.invalid` network destinations, harmless marker output,
+and synthetic model behavior only. It is intended for static scanning and isolated security testing.

SHA256SUMS.json

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+[
+  {
+    "path": "LAYERFAULT_CORPUS.json",
+    "sha256": "2a4bddeaef656dbfca67982a414ab9f7aa4b55b1b3559be8f82d230953661215",
+    "size": 572
+  },
+  {
+    "path": "README.md",
+    "sha256": "4fda1e58eac75ec641ad277a91ac465b2221872cfdcd2e9747420765554835ba",
+    "size": 1732
+  },
+  {
+    "path": "config.json",
+    "sha256": "ddde92cb90430be479bae980ed88524e318f7e5f4e849548084927e683dc3921",
+    "size": 252
+  },
+  {
+    "path": "model.safetensors",
+    "sha256": "a93e4b89dd8218d941be2b57882ed3185f71a7ebfc003548fd494aa8a795ca2f",
+    "size": 856
+  }
+]

config.json

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+{
+  "model_type": "layerfault_declarative_fixture",
+  "processor_class": "layerfault.synthetic.Processor",
+  "sentence_transformers": {
+    "activation_fn": "layerfault.synthetic.activation"
+  },
+  "tokenizer_class": "layerfault.synthetic.Tokenizer"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a93e4b89dd8218d941be2b57882ed3185f71a7ebfc003548fd494aa8a795ca2f
+size 856