SKILL·09CAC6

post-patch-validation

trailofbits
Updated 2 days ago
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About

This skill validates security patches by testing them against original exploits and variants to ensure they fix vulnerabilities without causing regressions. It's designed for use after a patch is created—including AI-generated fixes—but before merging or reporting it as resolved. The process produces reproducible evidence in isolated environments across any programming language.

Quick Install

Claude Code

Recommended
Primary
npx skills add trailofbits/skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/trailofbits/skills
Git CloneAlternative
git clone https://github.com/trailofbits/skills.git ~/.claude/skills/post-patch-validation

Copy and paste this command in Claude Code to install this skill

Documentation

Post-Patch Validation

Treat the patch as an untrusted hypothesis. Produce executable evidence in isolated Git worktrees, then let the bundled runner assign the verdict. Never infer success from the diff, the patch author, an upstream implementation, or the original proof of concept alone.

When to Use

  • A security fix, remediation commit, patch file, or pull request already exists.
  • An AI-generated patch needs validation before human review or merge.
  • A fix may cover one exploit path while missing variants of the same root cause.
  • A security fix may alter legitimate behavior or introduce a new vulnerability.
  • Another pipeline needs a deterministic final patch-validation gate.

When NOT to Use

  • No patch exists yet; use vulnerability discovery or fix implementation first.
  • The task is to review an audit finding against a report without executing patch evidence.
  • The task is only to convert a finding into a permanent project test.
  • The target is remote or production. This skill executes local code and tests only.
  • The user has not authorized execution of the repository's code or test suite.

Quick Start

  1. Pin the vulnerable base and patched input. Prefer immutable commits. For uncommitted work, create a binary patch file first; do not validate in the user's working tree.

  2. Scaffold a pinned plan:

    uv run {baseDir}/scripts/post_patch_validation.py scaffold \
      --repo . \
      --base-ref <vulnerable-ref> \
      --patched-ref <patched-ref> \
      --finding-id <stable-id> \
      --finding-summary "<root cause and impact>" \
      --evidence-level runtime \
      --output post-patch-validation/plan.json
    

    Use --patch-file <path> instead of --patched-ref for a patch artifact. Choose the highest honest evidence level: source for source/patch invariants only, build when target code is compiled or analyzed but the reported behavior is not executed, or runtime when the checks execute the reported behavior and its safety assertions.

  3. Inspect the finding, diff, callers, sibling paths, cleanup/error paths, and existing tests. Populate checks in the generated plan. Run print-schema for the structural schema:

    uv run {baseDir}/scripts/post_patch_validation.py print-schema
    
  4. Run validate-plan for the complete validation, including coverage, command restrictions, and pinned inputs, before executing code:

    uv run {baseDir}/scripts/post_patch_validation.py validate-plan \
      --plan post-patch-validation/plan.json
    
  5. Execute the evidence plan:

    uv run {baseDir}/scripts/post_patch_validation.py run \
      --plan post-patch-validation/plan.json \
      --output post-patch-validation/results
    
  6. Report result.json, report.md, the exact verdict, and every failing or inconclusive check. An S1 result is ready for human review; it is not permission to merge.

Evidence Contract

The runner rejects incomplete plans. Supply at least one check of every kind:

KindRequired observation
controlBenign harness succeeds on both base and patch
exploitOriginal safety assertion fails on base and succeeds on patch
variantA distinct root-cause variant fails on base and succeeds on patch
behaviorUnaffected behavior succeeds with byte-identical selected output
regressionTargeted non-security regression check succeeds on both revisions
securityAdjacent/new-vulnerability check succeeds on base and patch
suiteExisting project suite, sanitizer, or deterministic fuzz campaign succeeds on patch

Commands are argv arrays, never shell strings. Put complex setup in a checked-in or plan artifact script and invoke it with {plan_dir}. The runner fixes locale/timezone/hash-seed inputs, executes checks in lexical ID order, records raw stdout/stderr, and never edits the original worktree. Each check's timeout_seconds defaults to 300 and accepts integers from 1 through 3600. Exceeding the timeout makes the run INCONCLUSIVE. Every plan also contains a sorted submodules array ([] when none). Scaffolding infers affected Gitlinks from the changed-file inventory. The runner initializes those pinned commits from the source repository's existing Git module objects, never from .gitmodules network URLs; initialize or fetch them in the source repository before validation.

Exploit and variant checks must prove they ran

A nonzero exit does not mean the vulnerability reproduced. An import error, a failed build, a missing dependency, and a failed safety assertion all exit nonzero and are indistinguishable to the runner. Every exploit and variant check must print and flush PPV_REACHED immediately before it evaluates its assertion, on both revisions:

"argv": ["python3", "-c", "import app; print('PPV_REACHED', flush=True); assert app.render('<') == '&lt;'"]

The token is also in the environment as PPV_REACHED_MARKER. It must land on stdout, as a line of its own. Stderr is not scanned, because a Python SyntaxError traceback echoes the offending source and would otherwise satisfy the check for a harness that executed nothing. A run without it is recorded as marker_missing and the whole result is INCONCLUSIVE. Flush explicitly: a harness whose payload segfaults or calls _exit loses buffered output and forfeits its own evidence.

These checks also run side-blind. {side} is not expanded for them, PPV_SIDE is absent from their environment, the checkout directory is randomly named, and the plan validator rejects any exploit or variant check whose argv or env mentions either. An assertion that can see which revision it is on can assert on that instead of on the code, which is the cheapest possible way to fake a reproduction followed by a fix.

Environment

Checks run under a fixed minimal environment: PATH, HOME, and a handful of temp/user keys, plus LANG/LC_ALL=C, TZ=UTC, PYTHONHASHSEED=0, NO_COLOR, TERM=dumb. Everything else in the caller's environment is dropped. Toolchains that need more get it explicitly:

uv run {baseDir}/scripts/post_patch_validation.py run \
  --plan post-patch-validation/plan.json \
  --output post-patch-validation/results \
  --allow-env JAVA_HOME --allow-env CARGO_HOME

Forwarded names and values are recorded in result.json. A requested variable that is unset is an error, not an empty string. Two classes are refused outright: names that read as credentials (*SECRET*, *TOKEN*, *API_KEY*, …), because the value would be written into the result; and names that change what executes (LD_PRELOAD, BASH_ENV, NODE_OPTIONS, GIT_SSH_COMMAND, …), because forwarding those would quietly dismantle the isolation the verdict rests on. The runner's fixed variables and every PPV_* name are also reserved and cannot be forwarded.

Placeholders expanded in argv and per-check env values: {checkout} (the revision under test), {plan_dir} (an isolated copy of the plan artifacts for that one invocation), {scratch} (a fresh opaque directory for that one check invocation), and {side} (base or patched, and not available to exploit/variant checks). The same values arrive as PPV_CHECKOUT, PPV_PLAN_DIR, PPV_SCRATCH, PPV_SIDE, and PPV_CASE_ID. Write only under {scratch}; the evidence directory path is not passed to checks. Base and patched invocations do not share runner-managed scratch, plan, or worktree roots. After each invocation exits, its scratch tree is archived under the deterministic results/scratch/<check-id-and-side> path, its private plan copy is discarded, and every readable argv element that resolves to a file is hashed in argv_files. Files inside the isolated plan or checkout roots are additionally retained under results/helpers/<sha256> up to 16 MiB; the record explains why any other file was not archived. Use a dedicated directory for plan.json: its sibling files and directories are copied into each invocation's {plan_dir}. Keep helper code under that directory's checks/ directory or checked into the target repository so its bytes are reviewable. The machine plan containing commit pins, the current output directory, and detected prior result trees are excluded; symlinks are rejected. The clean snapshot remains only in runner memory, and exploit/variant sides execute in random order while evidence filenames remain deterministic. Stdout/stderr use anonymous or randomly named capture descriptors and are copied to the named evidence files only after the child exits, so fd inspection cannot disclose the side label.

This isolation is not a host sandbox: checks run with the caller's privileges and a malicious helper could use arbitrary external state or deliberately infer the revision from source or Git metadata. Inspect the content-addressed helper artifacts, and use an OS/container sandbox when the check code itself is untrusted.

Active validation worktrees are Git-locked with random owner tokens backed by kernel file locks, so another concurrent validator cannot prune them and PID reuse cannot impersonate an owner. If the runner is forcibly killed, the next run unlocks stale validator-owned registrations. For manual recovery, inspect git worktree list, then use git worktree unlock <path> and git worktree remove --force <path> (or git worktree prune after the path is gone).

Read evidence-model.md when designing coverage, selecting variants, or interpreting S1-S5 and INCONCLUSIVE. Do not read it for routine CLI execution.

Coverage Rules

  • Derive variants from the root cause, not cosmetic mutations of the original payload.
  • Enumerate sibling call sites, alternate callbacks/outputs, error paths, teardown, ownership, serialization, and boundary values touched by the fix.
  • Make each exploit or variant test assert the safe behavior. It must fail on the vulnerable base; a test that passes on both revisions proves nothing about remediation. Read the base-side stderr and confirm the failure is the assertion you wrote, not a harness that never got there.
  • Keep exploit and variant assertions limited to the security invariant. Test liveness, exact error types/messages, timing, and compatibility separately as behavior or regression checks; otherwise an unrelated contract change can masquerade as proof that the vulnerability remains.
  • Keep the control harness benign and make it exercise the changed component. It is the only check that says the worktree can run at all, and its failure is INCONCLUSIVE.
  • Use behavior only for behavior that should remain unchanged. Exact output comparison is deliberate; move unstable values behind a deterministic test harness instead of normalizing them away in prose.
  • Make security checks pass on the vulnerable base before treating a patched failure as newly introduced. Otherwise the runner returns INCONCLUSIVE rather than inventing causality.
  • Do not edit the patch during validation. Return failures to the patch author and start a new, freshly pinned run.

Claude Dynamic Workflow

Claude Code exposes the bundled workflow as /post-patch-validation:validate-patch. To pass structured inputs through the Workflow tool, use the name without a leading slash:

Workflow({
  name: 'post-patch-validation:validate-patch',
  args: {
    finding: '<finding text or local path>',
    baseRef: '<vulnerable-ref>',
    patchRef: '<patched-ref>',
    workdir: 'post-patch-validation',
  },
})

Use patchFile instead of patchRef when appropriate. The workflow uses fixed coverage lenses to propose checks and a fixed executor to run this skill. Agents may author test artifacts, but they do not vote on the S-score: only the Python runner classifies evidence. It cannot ask questions after launch, so pass every input up front.

Rationalizations to Reject

RationalizationRequired response
"The original PoC no longer works"Test at least one independent root-cause variant
"The exploit failed on base, so it reproduced"Confirm the marker and that the failure is the assertion, not a broken harness
"The full suite passes"Prove baseline reproduction and targeted behavior explicitly
"This matches the upstream/canonical patch"Treat provenance as context, not evidence
"The diff is tiny"Exercise callers, failure paths, and teardown affected by the change
"The validator says S1"Preserve artifacts and require human review
"A flaky rerun passed"Keep the first pinned result; fix nondeterminism before retrying
"There is no obvious variant"Inspect sibling sites and boundaries; otherwise stop INCONCLUSIVE

GitHub Repository

trailofbits/skills
Path: plugins/post-patch-validation/skills/post-patch-validation
0
agent-skills
FAQ

Frequently asked questions

What is the post-patch-validation skill?

post-patch-validation is a Claude Skill by trailofbits. Skills package instructions and resources that Claude loads on demand, so Claude can perform post-patch-validation-related tasks without extra prompting.

How do I install post-patch-validation?

Use the install commands on this page: add post-patch-validation to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does post-patch-validation belong to?

post-patch-validation is in the Meta category, tagged ai.

Is post-patch-validation free to use?

Yes. post-patch-validation is listed on AIMCP and free to install.

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