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",…
Decide audit boundaries for large or monorepo targets and write audit-plan.md.
$ npx -y skills add allsmog/vuln-scout --skill scope-repo --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/scope-repoContext preview
The summary Claude sees to decide when to auto-load this skill.
Decide audit boundaries for large or monorepo targets and write audit-plan.md.
name: scope-repo description: Decide audit boundaries for large or monorepo targets and write audit-plan.md.
Use this task skill when the user asks to scope this repo, decide where to focus, decide what to audit first, or handle a large codebase.
1. Trigger `large-codebase-check` when repository size or monorepo structure is unclear. 2. Run `/vuln-scout:scope --list` for workspace discovery when applicable. 3. Run `/vuln-scout:scope <path> --compress --name <scope-name>` for the selected boundary. 4. Call `app-mapper` to produce `.claude/app-understanding.md`. 5. Write or update `.claude/audit-plan.md` with scope name, workspace list, entry points, trust boundaries, and high-risk modules.
Do not trigger for STRIDE-only modeling, dangerous-function lookup, framework pattern questions, or vulnerability-specific education unless the user asks for audit scoping.
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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