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Audit GitHub Actions workflows with zizmor and map hits into the findings shape.
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Based on SOC occupation classification
Map distinct externally reachable input-processing subsystems into focus areas for the threat-model skill to carry into later security audits. This is a short, read-only orientation pass, not a vulnerability scan.
Derive a project's security contract from its source and docs, then emit it as structured data other skills can cite. Records what the project assumes about callers and inputs, what properties it claims and disclaims, which code is out of scope, and which recurring tool findings are known-safe. This is not a vulnerability scan; it produces the trust map that security-deep-dive loads instead of re-deriving boundaries per run.
Default pipeline scrutineer runs when a repository is added. Triggers a standard set of other skills in parallel, then writes a short summary of what was enqueued. Edit the list below to change the default scan coverage without touching scrutineer's Go code.
Audit first-party source for security vulnerabilities using an inventory-first, six-step per-sink methodology. Use when you want a thorough scan that distinguishes real findings from pattern matches and records both in a machine-readable report. The target is this codebase's own code, not its dependencies.
Compare open findings in one repository and record how they relate. Marks same-vulnerability findings as duplicates, findings that another finding's fix will close as subsumed, and findings that combine into a higher-severity attack as a chain.
High-recall static source-code vulnerability scan adapted from Anthropic's defending-code reference harness. Fans out by focus area, ranks candidates by confidence, and emits Scrutineer findings for later verification.
| name | zizmor |
| description | Audit GitHub Actions workflows with zizmor and map hits into the findings shape. |
| license | MIT |
| compatibility | Requires `zizmor` (https://github.com/zizmorcore/zizmor) and `python3` on PATH. |
| metadata | {"scrutineer.version":1,"scrutineer.output_file":"report.json","scrutineer.output_kind":"findings","scrutineer.model":"mid"} |
Run zizmor against ./src/.github/workflows and map each issue into scrutineer's findings shape.
./src — the cloned repository./scripts/scan.py — the wrapper./report.json — write the findings report here./schema.json — output shapescripts/scan.py — invokes zizmor --format json .github/workflows and converts the output. If the repo has no workflows directory, it writes an empty result so the scan succeeds cleanly. zizmor's severity values are mapped to scrutineer's: unknown/informational/low → Low, medium → Medium, high → High, critical → Critical.python3 scripts/scan.py > ./report.json
The script handles missing workflows directories, a missing zizmor binary, and zizmor's non-zero "I found something" exit code gracefully — don't add retry or error handling on top.