ai-ml-attacks
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model…
Decide audit boundaries for large or monorepo targets and write audit-plan.md.
Claude Code
$ npx -y skills add allsmog/vuln-scout --skill scope-repo --agent claude-code
Codex
$ npx skills add allsmog/vuln-scout --skill scope-repo -a codex -y
Cursor
$ npx skills add allsmog/vuln-scout --skill scope-repo -a cursor -y
Gemini CLI
$ npx skills add allsmog/vuln-scout --skill scope-repo -a gemini-cli -y
GitHub Copilot
$ npx skills add allsmog/vuln-scout --skill scope-repo -a github-copilot -y
OpenCode
$ npx skills add allsmog/vuln-scout --skill scope-repo -a opencode -y
Windsurf
$ npx skills add allsmog/vuln-scout --skill scope-repo -a windsurf -y
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.
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