Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gmh5225/awesome-ai-security --skill ai-security-tooling- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads ai-security-tooling automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AI Security Tooling
Scope
Use this skill when adding or organizing:
- LLM security tools (guardrails, detectors)
- Adversarial ML libraries
- AI vulnerability scanners
- Model safety tools
- Security benchmarks and frameworks
Tool Categories
LLM Security Tools
- Guardrails: NeMo Guardrails, LLM Guard, Rebuff
- Detectors: Vigil-LLM, Nova Framework, Garak
- Scanners: ModelScan, AI Security Analyzer
Adversarial ML Libraries
- Attack libraries: ART, CleverHans, Foolbox, TextAttack
- Defense libraries: SecML
- Fuzzing: OSS-Fuzz-Gen, Brainstorm
AI Red Teaming
- Microsoft: Counterfit, PyRIT
- Meta: PurpleLlama
- NVIDIA: Garak, NeMo Guardrails
Benchmarks
- Robustness: RobustBench
- Jailbreak: JailbreakBench
- Safety: Stanford AIR-Bench
- Hallucination: Vectara Leaderboard
Standards & Frameworks
- MITRE ATLAS: AI threat matrix
- NIST AI RMF: Risk management framework
- OWASP: LLM Top 10, GenAI Security Project
Categorization Rules
- LLM guardrails/detectors →
AI Security & Attacks → Model Security - Prompt injection tools →
AI Security & Attacks → Prompt Injection - Adversarial ML libraries →
AI Security & Attacks → Adversarial AttacksorAI Security Libraries - AI RE/debugging tools →
AI Security Tools & Frameworks → AI Reverse Engineering - AI vulnerability scanners →
AI Security Tools & Frameworks → AI Vulnerability Detection - Benchmarks →
Benchmarks & Standards - MCP security tools →
AI Pentesting & Red Teaming → AI Security MCP Tools
Quality Bar
- Prefer canonical repos
- Avoid forks unless they add meaningful features
- Add short descriptions
- Never duplicate an existing URL
- Tool must be AI/ML-focused
Key Vendor Tools
| Vendor | Tools |
|---|---|
| Microsoft | Counterfit, PyRIT |
| Meta | PurpleLlama (Llama Guard, Prompt Guard, Code Shield) |
| NVIDIA | Garak, NeMo Guardrails |
| IBM | Adversarial Robustness Toolbox (ART) |
| OSS-Fuzz-Gen | |
| ProtectAI | Rebuff, LLM Guard, ModelScan |
Notes
Keep additions:
- AI/ML security focused
- Non-duplicated URLs
- Minimal structural changes
Data Source
For detailed and up-to-date resources, fetch the complete list from:
https://raw.githubusercontent.com/gmh5225/awesome-ai-security/refs/heads/main/README.md
Use this URL to get the latest curated links when you need specific tools, papers, or resources not covered in this skill.
FAQ
What does the ai-security-tooling skill do?
Guide for AI security tooling (detectors, analyzers, guardrails, benchmarks) and consistent placement in README.md.
How do I install ai-security-tooling?
Run npx skills add https://github.com/gmh5225/awesome-ai-security --skill ai-security-tooling in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-security-tooling/ (personal) or .claude/skills/ai-security-tooling/ (project).
Which AI agents can use ai-security-tooling?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is ai-security-tooling safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains ai-security-tooling?
It is published by gmh5225 in gmh5225/awesome-ai-security. It has 44 recorded installs.
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