A library of 817 structured cybersecurity skills mapped to six industry frameworks, designed to provide AI agents with domain-specific security guidance. It operates as a resource for compatible agents rather than a standalone execution tool.
Project overview
It supplies a large corpus of structured cybersecurity knowledge mapped to six industry frameworks, addressing a gap in domain-specific expertise for AI agents.
Project type
AI Agent · Prompt Engineering
Use cases
Coding & Development · Automation
Deployment
Refer to project documentation
License
Apache-2.0
Best for
AI engineers, operations teams, and developers using AI agents for security workflows who need structured domain knowledge.
Key capabilities
Maps every skill to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and MITRE F3.
Limitations and risks
Requires a compatible AI agent or platform to utilize the skills; the repository itself does not execute security scans.
Contains offensive and dual-use techniques that must only be used for authorized penetration testing and security research.
Getting started
Setup is rated as easy and involves adding the library to an environment via npx or cloning it directly with git; coding is not required for setup.
Alternatives and comparisons
A library of 358 reusable skills, agents, and personas across 18 domains including engineering, DevOps, and compliance.
A Python agent framework providing type-safety, model-agnostic support, and structured output validation for GenAI applications.
README: Your AI agent doesn't — unless you give it these skills.
README: Today's agents can write code and search the web, but they lack the practitioner playbooks that turn a generic LLM into a capable security analyst.
README: No other open-source skills library maps every skill to all of these frameworks.