[GitHub Trending] mukul975/Anthropic-Cybersecurity-Skills

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Structured cybersecurity skills for AI agents mapped to major frameworks, highly novel and directly relevant to AI agent capabilities.

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Why It Matters

For platform and infrastructure engineers building AI-augmented security pipelines, this library offers a standardized, multi-framework skill set that can be directly injected into agent orchestration systems (LangGraph, CrewAI) to automate incident response, threat hunting, and compliance mapping without custom training.

Key Takeaways

Clone the repo and point your AI agent at the skills directory to instantly equip it with 817 production-grade cybersecurity capabilities mapped to MITRE ATT&CK, NIST CSF, and F3 fraud frameworks.

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard ·...

Summary

The open-source Anthropic Cybersecurity Skills library provides 817 structured skills across 29 security domains, mapped to six industry frameworks including MITRE ATT&CK, NIST CSF 2.0, and the new MITRE Fight Fraud Framework (F3). Each skill follows the agentskills.io standard and targets only relevant frameworks—for example, a forensics skill maps to ATT&CK and CSF, while an AI-security skill adds ATLAS and AI RMF. The library enables AI agents to perform expert-level security tasks like running Volatility3 plugins on memory dumps or detecting Kerberoasting with Sigma rules, with 805 skills covering ATT&CK and 804 covering NIST CSF 2.0.

Author

mukul975