[GitHub Trending] mukul975/Anthropic-Cybersecurity-Skills

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Structured cybersecurity skills for AI agents mapped to frameworks, directly relevant to AI agent orchestration and security.

AI/ML github.com

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Why It Matters

For platform engineers and security architects building AI agents, this library provides a ready-to-use, framework-mapped skill set that can be cloned and pointed at any agent to instantly elevate its security analysis capabilities, reducing the need to manually curate domain-specific knowledge.

Key Takeaways

Clone the Anthropic Cybersecurity Skills repo and map it to your AI agent to give it expert-level security analysis across 29 domains, including the new MITRE Fight Fraud Framework for financial fraud detection.

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, production-grade 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 is designed to be ingested by AI agents for autonomous security investigations, covering offensive and defensive techniques like Volatility3 forensics, Sigma rule detection, and cloud breach scoping. The library includes 94 fraud-specific skills aligned with F3 v1.1, which adds Positioning and Monetization tactics not covered by ATT&CK, co-developed by JPMorganChase, Citigroup, and CrowdStrike.

Author

mukul975