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SkillsApr 5, 2026·3 min de lecture

RAPTOR — Security Research Agent for Claude Code

Autonomous offensive and defensive security framework built on Claude Code. Performs static analysis, binary fuzzing, vulnerability discovery, exploit generation, and patch development. MIT.

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Introduction

RAPTOR is an autonomous security research framework built on Claude Code that combines traditional security tools (Semgrep, CodeQL, AFL++) with AI-powered analysis. With 1,800+ GitHub stars and MIT license, it turns Claude Code into a security research agent capable of static analysis, binary fuzzing, vulnerability discovery, exploit proof-of-concept generation, and automated patch development. Created by security researchers Gadi Evron, Daniel Cuthbert, Thomas Dullien (Halvar Flake), and others, RAPTOR uses a tiered skill system with 9 expert security personas.

Best for: security researchers, penetration testers, and developers who want AI-assisted vulnerability analysis. Works with: Claude Code, Semgrep, CodeQL, AFL++, Playwright. Setup time: under 5 minutes (or instant with DevContainer).

RAPTOR — Framework Architecture

Command Reference

Command Purpose
/raptor Main security assistant — general queries
/scan Static analysis with Semgrep/CodeQL + LLM validation
/fuzz Binary fuzzing with AFL++ and crash analysis
/agentic Full autonomous security workflow
/exploit Proof-of-concept exploit generation
/patch Automated security patch development
/understand Adversarial code analysis
/oss-forensics Evidence-backed GitHub repository investigations

Tiered Architecture

RAPTOR uses a sophisticated loading system to manage context:

Bootstrap (Always Loaded):

  • CLAUDE.md — Core instructions and security mindset

Tier 1 (Auto-Loaded Contextually):

  • Adversarial thinking frameworks
  • Recovery strategies for failed analyses
  • Security-first reasoning patterns

Tier 2 (Loaded on Request): Nine expert security personas modeled after renowned researchers:

  • Mark Dowd (vulnerability analysis)
  • Binary exploitation specialists
  • Web application security experts
  • Cryptography advisors
  • And more...

Agents:

  • Offensive security specialist with autonomous capabilities
  • SecOpsAgentKit integration for penetration testing

Core Capabilities

Static Analysis (/scan)

  • Runs Semgrep and CodeQL scans
  • LLM-powered validation to reduce false positives
  • Prioritizes findings: Impact × Exploitability / Detection Time

Binary Fuzzing (/fuzz)

  • AFL++ fuzzing with intelligent seed generation
  • Automated crash analysis and triage
  • Reproducible test case generation

Vulnerability Analysis

  • Advanced reasoning to identify exploitable patterns
  • Cross-reference with known vulnerability databases
  • Severity scoring and prioritization

Exploit Generation (/exploit)

  • Proof-of-concept code for confirmed vulnerabilities
  • Responsible disclosure formatting
  • Impact demonstration

Patch Development (/patch)

  • Automated security fix generation
  • Regression test creation
  • Code review-ready patches

Security Note

RAPTOR is designed for authorized security testing, defensive security research, and educational purposes. Always ensure you have proper authorization before testing systems.

FAQ

Q: What is RAPTOR? A: An autonomous security research framework for Claude Code that performs static analysis, fuzzing, vulnerability discovery, exploit generation, and patch development using AI-powered analysis.

Q: Is RAPTOR free? A: Yes, MIT license. Some underlying tools (Semgrep, CodeQL) have their own licensing terms.

Q: Who created RAPTOR? A: Security researchers Gadi Evron, Daniel Cuthbert, Thomas Dullien (Halvar Flake), Michael Bargury, and John Cartwright.

🙏

Source et remerciements

Created by Gadi Evron and team. Licensed under MIT.

raptor — ⭐ 1,800+

Thank you to the RAPTOR team for building an AI-powered security research framework on Claude Code.

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