Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gmh5225/awesome-ai-security --skill ai-pentestinggit clone --depth 1 https://github.com/gmh5225/awesome-ai-securityWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gmh5225/awesome-ai-security/ai-pentesting)<a href="https://agentmods.dev/skills/gmh5225/awesome-ai-security/ai-pentesting"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-ai-security/ai-pentesting/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gmh5225/awesome-ai-security/ai-pentesting"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-ai-security/ai-pentesting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.00604 |
| Opus 5 | $0.00012 | $0.00302 |
| Sonnet 5 | $0.00005 | $0.00121 |
| Haiku 4.5 | $0.00002 | $0.00060 |
Grade A, and why
ai-powered-pentesting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Powered Pentesting & Red Teaming
Scope
Use this skill when working on:
- AI/LLM-powered penetration testing tools
- Autonomous security agents
- AI red teaming frameworks
- MCP (Model Context Protocol) security tools
- AI-assisted vulnerability discovery
AI Pentesting Tool Categories
LLM-Powered Pentesting Agents
- PentestGPT - GPT-4 powered pentesting
- HackingBuddyGPT - Autonomous red teaming
- AI-OPS - AI assistant for pentesting
- BugTrace-AI - Automated web pentesting
AI Red Teaming Frameworks
- Counterfit (Microsoft) - ML model attacks
- PyRIT (Microsoft) - GenAI red teaming
- PurpleLlama (Meta) - LLM safety tools
- Garak (NVIDIA) - LLM vulnerability scanner
AI Security MCP Tools
- HexStrike AI - 150+ cybersecurity tools via MCP
- MCP Safety Scanner - MCP security testing
- Pentest MCP - Pentesting via MCP
AI-Assisted Analysis
- GhidraGPT - GPT for reverse engineering
- GhidrAssist - LLM extension for Ghidra
- WinDbg Copilot - AI debugging extension
- BurpGPT - AI vulnerability scanning
Use Cases
Offensive
- Automated reconnaissance with AI analysis
- AI-powered vulnerability discovery
- Autonomous exploitation attempts
- Social engineering with LLMs
- AI password cracking
Defensive
- AI-powered threat detection
- Automated security scanning
- Intelligent log analysis
- AI-assisted incident response
Where to Add Links in README
- AI pentesting tools:
AI Pentesting & Red Teaming → AI-Powered Pentesting - Red teaming frameworks:
AI Pentesting & Red Teaming → AI Red Teaming Tools - MCP security tools:
AI Pentesting & Red Teaming → AI Security MCP Tools - AI RE/debugging tools:
AI Security Tools & Frameworks → AI Reverse Engineering - AI vulnerability scanners:
AI Security Tools & Frameworks → AI Vulnerability Detection - AI CVE analysis:
AI Security Tools & Frameworks → AI CVE Analysis
Quality Bar
- Tool must use AI/ML (not just automation)
- Prefer tools with active maintenance
- Include only canonical repos
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 90 lines · 23 tokens per session scan A 12327b935c7c
ai-powered-pentesting is a skill published in the GitHub repository gmh5225/awesome-ai-security (45 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 604 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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