ai-powered-pentesting

Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.

16 stars

Best use case

ai-powered-pentesting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.

Teams using ai-powered-pentesting should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ai-powered-pentesting/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/data-ai/ai-powered-pentesting/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ai-powered-pentesting/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ai-powered-pentesting Compares

Feature / Agentai-powered-pentestingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Guide for AI-powered penetration testing tools, red teaming frameworks, and autonomous security agents.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

## Notes

Keep additions:

- AI-powered (not traditional tools)
- 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.

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