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Scan agent skills for security issues before adoption. Detects prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks.
Passed 12 of 19 test cases with the skill, and 11 of 19 without it.
3 fixed11 passed either way6 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
A complete scan of a simple text-wrap skill shows no prompt injection, valid frontmatter, no dangerous scripts, and minimal `Read` permissions. What risk level should be assigned to the overall summary?
| Checked | Without skill | With skill |
|---|---|---|
| Assigns a Clean risk rating when static and behavioral analysis identify no security findings. | Missed | Passed |
| Recommends the skill as safe for installation. | Passed | Passed |
The instructions your model reads when the skill loads.
Scan agent skills for security issues before adoption. Detects prompt injection, malicious code, excessive permissions, secret exposure, and supply chain risks.
Important: Run all scripts from the repository root using the full path via ${CLAUDE_SKILL_ROOT}.
scripts/scan_skill.pyStatic analysis scanner that detects deterministic patterns. Outputs structured JSON.
uv run ${CLAUDE_SKILL_ROOT}/scripts/scan_skill.py <skill-directory>
Returns JSON with findings, URLs, structure info, and severity counts. The script catches patterns mechanically — your job is to evaluate intent and filter false positives.
Determine the scan target:
plugins/*/skills/<name>/ or .claude/skills/<name>/*/SKILL.md files and scan eachValidate the target contains a SKILL.md file. List the skill structure:
ls -la <skill-directory>/
ls <skill-directory>/references/ 2>/dev/null
ls <skill-directory>/scripts/ 2>/dev/null
test cases passed, vs 11 / 19 without
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