Interest in this project

[agustinafilosofia20-stack]

I’m learning about cybersecurity and I’m interested in how the analysis processes are structured in this project.

[mukul975]

Thanks for your interest! Here’s a quick overview of how the project is structured.

Each skill in the repo follows the agentskills.io open standard — a SKILL.md file that defines a single, focused cybersecurity capability for an AI agent. Every skill includes a plain-language description of what it does, example usage, and mappings to security frameworks (MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF) so agents can reason about why a skill applies, not just what it does.

The 754 skills are organized into 26 domains covering the full security lifecycle — from reconnaissance and exploitation through incident response and forensics. Each domain lives in its own subdirectory under skills/.

To use a skill, an AI agent calls read_skill(skill_id) to load the relevant guidance into its context window at the moment it needs it, rather than holding all 754 skills in memory at once. This keeps the agent efficient while giving it deep, structured knowledge on demand.

If you’re just getting started with cybersecurity, the skills/network-security/ and skills/web-security/ domains are good entry points — they cover foundational techniques before moving into more advanced areas. The MITRE ATT&CK mappings on each skill are also useful for understanding how individual techniques fit into the broader attack and defense landscape.

Feel free to open follow-up questions if you want to dig into any specific area.