Anthropic-Cybersecurity-Skills: Give AI Agents Security Playbooks

Overview

Anthropic-Cybersecurity-Skills is a community-maintained collection of structured cybersecurity skills for AI agents. Each skill provides guidance such as when to use it, prerequisites, a workflow, and verification steps, helping agents follow established procedures instead of improvising security tasks.

The library follows the agentskills.io standard and maps skills to relevant security frameworks, including MITRE ATT&CK and NIST CSF 2.0. It is intended for security practitioners and teams using compatible AI agents, not as a standalone security tool or a substitute for expert review.

Key Features

• Structured skill files with YAML metadata and Markdown workflows.
• Coverage across security work such as cloud security, incident response, forensics, threat hunting, and penetration testing.
• Framework mappings to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and MITRE F3.
• Progressive disclosure: agents can scan skill metadata and load full workflows when needed.
• Compatible with agentskills.io platforms, including Claude Code, GitHub Copilot, Codex CLI, Cursor, and Gemini CLI.
• Apache 2.0 licensed, with community contributions encouraged.

Use Cases

• A SOC or incident response analyst can give an AI agent structured steps for triage, investigation, and verification during an authorized incident.
• A threat hunter can use domain-specific workflows to guide searches for suspicious activity and connect findings to framework techniques.
• A security engineer can ask a compatible coding agent for guidance on cloud, container, or application security reviews.
• A penetration tester or security researcher can consult offensive and dual-use workflows in an explicitly authorized assessment.

Getting Started

Install the skills with npx:

npx skills add mukul975/Anthropic-Cybersecurity-Skills

See the README for setup details, platform compatibility, and contribution guidance.

Considerations

This is an independent community project and is not affiliated with Anthropic. Its collection includes offensive and dual-use techniques, so use them only for lawful, authorized work on systems you own or have explicit written permission to test. Skills provide guidance rather than guarantee correct results; review procedures and validate outputs in your environment. The README also notes that contributions are reviewed by the maintainer and that the pull request queue may be delayed.