agentic-actions-audito…
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI,…
Use when a local security patch commit needs independent scoped and three-arm proof.
$ npx -y skills add trailofbits/skills --skill prove-patch --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/prove-patchContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a local security patch commit needs independent scoped and three-arm proof.
name: prove-patch description: Use when a local security patch commit needs independent scoped and three-arm proof.
Use the original baseline, final patch commit, declared `repair_scope`, and unchanged reproduction package. Read the [record contract](../../references/records.md). Do not edit the patch or validate an uncommitted tree. Return failures for a new attempt. Before target commands, follow its [project guidance](../../references/records.md#project-guidance).
1. Review the scoped cases and the patch without the patcher's conclusion. Execute each planned input on clean baseline and patched trees with the same retained harness source and command. The harness must print exactly one `PATCH_CASE {"input": ..., "actual": ...}` from the exercised input and observed result, then print `PATCH_REACHED` as its final stdout line immediately before the assertion. Representatives must fail on the baseline and pass on the patch. Valid controls must pass on both. Keep the baseline and patched stdout, stderr, exit status, elapsed time, command, and harness source under `receipts/`. A timeout, setup failure, missing marker, mismatched input, or ambiguous observation is an evidence gap. A trustworthy patched failure is a finding. Never relabel a gap as a pass. 2. Run relevant project checks on the patch and retain the same raw receipts. Use baseline comparison for behavior checks and to attribute failed project checks; a passing patched suite may omit a baseline run. Include focused tests, regression and security checks where relevant. Record specific unproven limits; an empty list leaves the result inconclusive. 3. Run the [three-arm helper](../../scripts/arms.py) with the proof-type recipe in the record contract, `reproduce.baseline_commit`, and final `patch_commit`. Require the baseline to fail, patch to pass, and complete baseline revert to fail again. Require `receipts/source.json` to identify the pinned commits and the reverted tree to equal the original baseline tree. Require the type's build identity result. Retain all source-tree, build, and execution receipts. 4. Write `prove.json` and a final manifest covering it and every receipt. Run `uv run --no-project <script> manifest <prove-attempt-dir>` and then `uv run --no-project <script> check <run-dir>` with the [validator](../../scripts/records.py). Independently inspect the [native proof assessment](../../scripts/native_proof.py) and raw receipts before reporting a result. A complete proof has no findings or gaps. Return exact failures and receipt paths to the orchestrator.
[Prove record schema](../../schemas/prove.schema.json):
{
"schema_version": 2,
"attempt": 1,
"failure_type": "runtime",
"baseline_commit": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"patch_commit": "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb",
"reverted": "pass",
"build_identity": "pass",
"hashes": {
"baseline": "1111111111111111111111111111111111111111111111111111111111111111",
"patched": "2222222222222222222222222222222222222222222222222222222222222222",
"reverted": "1111111111111111111111111111111111111111111111111111111111111111"
},
"reverted_hash_note": null,
"cases": [{
"check_id": "reported-input",
"argv": ["python", "receipts/case.py", "reported-input"],
"source": "receipts/case.py",
"runs": {
"baseline": {"exit_code": 1, "elapsed_ms": 15, "stdout": "receipts/case-base.stdout", "stderr": "receipts/case-base.stderr"},
"patched": {"exit_code": 0, "elapsed_ms": 14, "stdout": "receipts/case-patched.stdout", "stderr": "receipts/case-patched.stderr"}
}
}],
"project_checks": [{
"check_id": "focused-suite",
"kind": "suite",
"argv": ["pytest", "tests/test_upload.py"],
"baseline": null,
"patched": {"exit_code": 0, "elapsed_ms": 860, "stdout": "receipts/suite.stdout", "stderr": "receipts/suite.stderr"}
}],
"unproven": ["Inputs outside the declared boundary were not assessed."],
"agent": "prover-1"
}For a bounded class, include at least two distinct failing representatives and a valid control. The record must cover every planned case by unique `check_id`. Use the same harness and command on both commits; do not reveal the side to the harness or change expectations by side. Review the selected cases for relevance; retained receipts establish only what those cases exercised.
A Claude Code plugin marketplace from Trail of Bits providing skills to enhance AI-assisted security analysis, testing, and development workflows. Codex can load this marketplace through its Claude marketplace compatibility.
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