RAPTOR - Autonomous Offensive/Defensive Security Research Framework, based on Claude Code Authors: Gadi Evron, Daniel Cuthbert, Thomas Dullien (Halvar Flake), Michael Bargury & John Cartwright (@gadievron, @danielcuthbert, @thomasdullien, @mbrg & @grokjc) License: MIT (see LICENSE file) Repository: https://github.com/gadievron/raptor Dependencies: See DEPENDENCIES.md for external tools and licenses What is RAPTOR? RAPTOR is an autonomous offensive/defensive security research framework, based on Claude Code. It empowers security research with agentic workflows and automation.
| Stars | 3,921 |
| Forks | 598 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 64.7443464999207/100 |
| Open Issues | 29 |
| Last Updated | 2026-10-19 |
| Created | 2025-10-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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raptor is Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configur. It is categorized as a AI 工具 with 3.9k GitHub stars.
raptor is primarily written in Python.
You can find installation instructions and usage details in the raptor GitHub repository at github.com/gadievron/raptor. The project has 3.9k stars and 598 forks, indicating an active community.