Publish Layerfault synthetic corpus LF-CORPUS-MLX-0001

LAYERFAULT_CORPUS.json

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+{
+  "candidate_rules": [
+    "LF-MLX-CUSTOM-CODE",
+    "LF-MLX-PROFILE-INCOMPLETE"
+  ],
+  "corpus_id": "LF-CORPUS-MLX-0001",
+  "description": "Minimal MLX-like package with custom Python code and deliberately partial profile metadata.",
+  "expected_rules": [],
+  "generator": "packages.mlx_suite",
+  "ground_truth": "synthetic-generated",
+  "must_not_rules": [],
+  "repo_name": "mlx-custom-code-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
+---
+
+# mlx-custom-code-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-MLX-0001`
+
+## Purpose
+
+Minimal MLX-like package with custom Python code and deliberately partial profile metadata.
+
+## Direct expected Layerfault rules
+
+- None; this repository is a control/comparison input.
+
+## Candidate rules
+
+These are deliberately plausible targets that remain marked as candidates until the exact
+Layerfault build used for certification confirms them.
+
+- `LF-MLX-CUSTOM-CODE`
+- `LF-MLX-PROFILE-INCOMPLETE`
+
+## 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": "ce048d6b4e97d9ae70bac894b8cfcfd04f5024ea24d116c366880a29bb2e6b7a",
+    "size": 547
+  },
+  {
+    "path": "README.md",
+    "sha256": "d7710510f11ea18a71aecdb7362f0efe3461bca2aad3870f00530269cf87644b",
+    "size": 1773
+  },
+  {
+    "path": "config.json",
+    "sha256": "0c07bd5b8560414fd80015c4bbdb20a60948bd587c0428d8b1521ad9b3a5fccd",
+    "size": 79
+  },
+  {
+    "path": "model.py",
+    "sha256": "aa9695706f7bc471ee5584fb80a8eaf479fbdac1be00cb3f9c751c9dc0626e2e",
+    "size": 43
+  },
+  {
+    "path": "model.safetensors",
+    "sha256": "d2ca18b298651a52fc6fc6d7cf90df5a4b05586832277686f5681ee524af58b0",
+    "size": 856
+  }
+]

config.json

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+{
+  "architectures": [
+    "LayerfaultMLXFixture"
+  ],
+  "model_type": "mlx"
+}

model.py

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+import os
+class LayerfaultMLXFixture: pass

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d2ca18b298651a52fc6fc6d7cf90df5a4b05586832277686f5681ee524af58b0
+size 856