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patch

Generate candidate fixes for verified security findings. Consumes TRIAGE.json (preferred), VULN-FINDINGS.json, INCIDENTS.json, or a vuln-pipeline results directory. Pipeline input is delegated to the execution-verified `vuln-pipeline patch` ladder; static-analysis input gets a per-finding patch subagent + independent reviewer and is written as inert diffs for human review. Writes PATCHES/bug_NN/{patch.diff,patch_result.json}, PATCHES.md, and PATCHES.json. Use when asked to "fix the findings", "patch these vulns", "generate fixes", or "close the loop on triage".

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SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W007: Insecure credential handling detected in skill instructions.

What this means

The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.

Why it was flagged

The skill requires subagents to Read repository files and emit unified diffs verbatim (and the reviewer sees raw diff bytes), so any secrets present in source (API keys, tokens, passwords) would be read and included verbatim in generated output, enabling exfiltration.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The required workflow ingests `findings_path` inputs such as `VULN-FINDINGS.json`, `INCIDENTS.json`, or pipeline `results/<target>/<ts>/` files at runtime (Phase 1 ingest / Phase 2 static delegate), and those are outsider-authored arbitrary free-text fields (e.g., `description`/`rationale`/`body` equivalents) that are then placed into the subagent prompt context.

Repository
anthropics/defending-code-reference-harness
Audited
Security analysis
Snyk

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