[GitHub Trending] mukul975/Anthropic-Cybersecurity-Skills

6.5 relevance

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

AI/ML github.com

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Why It Matters

For a solutions architect building AI-driven security tooling or agentic workflows, this library provides a ready-made, framework-aligned skill set that can be injected into agents via standard interfaces, drastically reducing the effort to embed expert-level cybersecurity reasoning into automated pipelines.

Key Takeaways

Clone the repo and point your AI agent at it to instantly equip it with 817 production-grade security skills mapped to six industry frameworks, including the new MITRE F3 for 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

An open-source repository, Anthropic Cybersecurity Skills, packages 817 structured skills across 29 security domains into a library AI agents can consume directly. Each skill maps to relevant frameworks from a set of six—including MITRE ATT&CK, NIST CSF 2.0, and the newly added MITRE Fight Fraud Framework (F3)—so an agent can apply domain-specific guidance like running the correct Volatility3 plugin on a memory dump or scoping a multi-cloud breach. The library follows the agentskills.io standard and supports 26+ AI platforms, effectively giving any agent the procedural knowledge of a senior security analyst.

Author

mukul975