ai-ml-attacks
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading",…
Bundle findings, reports, audit plan, and ledger into one evidence zip.
$ npx -y skills add allsmog/vuln-scout --skill package-evidence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/package-evidenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Bundle findings, reports, audit plan, and ledger into one evidence zip.
name: package-evidence description: Bundle findings, reports, audit plan, and ledger into one evidence zip.
Use this task skill when the user asks to package evidence, export a bundle, create a deliverable, or share findings.
1. Confirm `.claude/findings.json` exists and validates. 2. Run `/vuln-scout:report --format sarif`. 3. Run `/vuln-scout:report --format html`. 4. Run `/vuln-scout:report --format bundle --output evidence-bundle`. 5. Confirm the bundle contains `findings.json`, `findings.sarif`, `vex.json`, `attestation.json`, `report.html`, and `README.md`.
Do not trigger for starting a new audit, investigating a single finding, compliance mapping, report formatting preferences, or questions about evidence theory without a deliverable request.
AI-powered whitebox penetration testing plugin for Claude Code. 9 languages, 22 skills, 7 autonomous agents. STRIDE threat modeling, OWASP 2025 coverage, polyglot monorepo support.
Repo: allsmog/vuln-scout
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