Anthropic Cybersecurity Skills Library Maps 754 Capabilities to Five Frameworks

Nicolas KrassasNicolas Krassas

· Updated

The Anthropic-Cybersecurity-Skills library now aligns 754 modular AI agent capabilities with five major security frameworks, including new coverage for AI-specific threats and risk management. This update provides a standardized knowledge layer that allows autonomous agents to perform security tasks while remaining compliant with enterprise standards.

Anthropic-Cybersecurity-Skills, an open-source library of instructions defining security-focused AI agent capabilities, released a major update with expanded framework coverage. The update adds mappings for MITRE ATLAS (adversarial threats to AI), MITRE D3FEND, and NIST AI RMF, covering five industry frameworks simultaneously.

As organizations deploy Agentic AI (autonomous systems that plan and act independently) in high-stakes environments, they require verifiable alignment with security standards. This release provides a unified taxonomy for AI-specific risks like prompt injection and model poisoning alongside traditional enterprise security tactics, filling a critical gap in autonomous defense.

Developed by Mukul975, you can integrate these 754 skills into 26+ platforms, including Claude Code and GitHub Copilot, using the npx skills command. The library is open-source under the Apache license, enabling you to equip coding agents with standardized frontmatter for automated code auditing and defensive task execution.

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