CyberSecurity-Skills  by Hi-FullHouse

A comprehensive cybersecurity skill knowledge base

Created 1 month ago
305 stars

Top 87.6% on SourcePulse

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Project Summary

<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository provides a comprehensive, AI-managed knowledge base for cybersecurity skills, structured around the Penetration Testing Execution Standard (PTES) and other industry guidelines. It aims to systematically organize 195 distinct security skills across 39 modules, covering the full spectrum of offensive and defensive cybersecurity practices. The project is designed for security professionals, researchers, and educators seeking a structured learning path, a practical checklist for assessments, or a foundational skill set for AI security agents.

How It Works

The knowledge base is built upon established frameworks like PTES, OWASP Testing Guide, and NIST SP 800-115. Each of the 195 skills is detailed with its technical principles, common tools and commands, practical operational examples, and relevant reference links. The skills are organized into 39 modules, progressing from reconnaissance and vulnerability scanning through exploitation, post-exploitation, and into specialized areas like cloud security, LLM security, and ICS/OT security. This modular, detailed approach facilitates systematic learning and practical application.

Quick Start & Requirements

While not a traditional software package, the repository offers a skill_query.py CLI tool for AI Agent integration, enabling programmatic access to its knowledge base. Commands include list-modules, search --keyword, get-skill --id, and validate. Integration files like agent-manifest.json and index.json are provided. No specific hardware or software prerequisites are listed beyond standard Python execution environments for the CLI tool.

Highlighted Details

  • Comprehensive coverage: 39 modules and 195 detailed cybersecurity skills.
  • Structured learning: Organized by phases of penetration testing and security domains.
  • AI Agent integration: Designed with specific tools and manifest files for AI agent use.
  • Broad scope: Includes modern domains such as LLM Security, Cloud Security, Container Security, and Blockchain/Web3 Security.

Maintenance & Community

The README lists several influential reference projects (e.g., PayloadsAllTheThings, OWASP Testing Guide) but does not detail specific contributors, active maintenance, or community channels like Discord or Slack.

Licensing & Compatibility

The project is licensed under the MIT license. However, its usage is strictly limited to legal security research and authorized testing.

Limitations & Caveats

The repository explicitly states that all skills and tools are intended for use only with proper authorization, and any misuse is the sole responsibility of the user. It does not provide executable tools or exploit code directly but rather knowledge and guidance.

Health Check
Last Commit

1 month ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
1
Star History
100 stars in the last 30 days

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