#56 · Primary category: Cybersecurity & Decryption Tools
raptor
Autonomous offensive and defensive security research framework built on Claude Code for adversarial operations and research.
Project last updated:08/30/26
GitHub Stars
3.7K
Forks
572
Contributors
30
License
Other
Why we included this project
Teams that want to automate vulnerability hunting without growing the analyst headcount will find a practical starting point here. RAPTOR is a security research framework built on Claude Code, though not locked to it: you can plug in your own analysis layer. It runs static scans with Semgrep and CodeQL, deduplicates the findings into a SARIF report, then has an LLM check each candidate issue for exploitability and even draft a patch. The /scan command does a quick static pass, while /agentic runs the full scan, validate, exploit, and fix stages end to end. Because the whole thing is rules, skills, and orchestration layered on Claude Code rather than a compiled black box, you can read and edit every stage, and swapping in a different model is a configuration change. It is rough around the edges and aimed at people comfortable running their own tooling, but for red teams and researchers it shows a credible way to turn an LLM coding agent into a security research engine.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
reverse-skill
AI-powered skill router for reverse engineering, authorized penetration testing, and security research, with on-demand toolchain bootstrapping and self-evolving knowledge base.
gitleaks
Find secrets with Gitleaks 🔑
osquery
SQL powered operating system instrumentation, monitoring, and analytics.
NeoPass
Your Essential Exam Companion for the Iamneo Portal & NPTEL Exams Disguised as NeoExamShield bypass
anubis
Weighs the soul of incoming HTTP requests to stop AI crawlers