Overview

Empower AI agents with the capabilities of a seasoned cybersecurity analyst. This repository offers the most comprehensive open-source library of structured cybersecurity skills, meticulously mapped to five critical industry frameworks. Designed for the agentskills.io standard, these skills enable AI agents to perform complex security tasks with expert-level precision, bridging the critical gap in cybersecurity expertise.

Key Features

• Vast Skill Set: Features 754 production-grade cybersecurity skills across 26 distinct security domains.
• Cross-Framework Alignment: Uniquely maps every skill to five leading frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF, ensuring broad compliance and operational relevance.
• AI-Native Design: Built using the agentskills.io standard with YAML frontmatter for rapid discovery and structured Markdown for step-by-step execution, making it ideal for AI agents.
• Broad Compatibility: Seamlessly integrates with over 26 AI platforms and agents, including Claude Code, GitHub Copilot, Codex CLI, Gemini CLI, Cursor, and frameworks like LangChain and CrewAI.
• Structured for Execution: Each skill provides a clear "When to Use," "Prerequisites," "Workflow," and "Verification" section, guiding AI agents through practical cybersecurity operations.
• Open Source & Community Driven: Licensed under Apache 2.0, encouraging contributions and collaborative development.

Typical Use Cases

• Automated Threat Hunting & Analysis: AI agents can autonomously perform hypothesis-driven threat hunts, analyze memory dumps, and triage security alerts using detailed, framework-aligned skills.
• Accelerated Incident Response: Rapidly deploy AI agents to contain breaches, perform digital forensics, and analyze network traffic with structured playbooks.
• Enhanced Security Operations: Equip Security Operations Centers (SOCs) with AI agents capable of sophisticated log analysis, SIEM correlation, and executing complex defensive maneuvers.
• AI-Powered Vulnerability Management: Streamline vulnerability assessment and prioritization by leveraging AI agents trained on structured skills for scanning, analysis, and reporting.
• Proactive Security Posture Management: Utilize AI agents to continuously monitor and improve security posture across cloud environments, endpoints, and networks, aligning with NIST CSF 2.0 principles.
• AI/ML Security Defense: Employ AI agents to identify and mitigate adversarial attacks against AI/ML systems by utilizing skills mapped to MITRE ATLAS and D3FEND.