HACK.SKILLS - Hacker Arsenal for Agents

This repository provides a comprehensive, structured knowledge base of hacker skills specifically designed for AI agents. It distills practical techniques across 14 security domains, enabling AI to excel in bug bounty hunting, penetration testing, CTF competitions, and security research by offering auditable and composable skills.

How It Works

The project distills security knowledge from diverse public sources into a hierarchical structure: a master entry, category entries, and deep topic skills. This approach prioritizes creating routable, composable, and auditable skills for AI agents, focusing on methodology and scenario-based indices rather than raw data. The design aims for genuine utility in real engagements and ease of maintenance for agents.

Quick Start & Requirements

Installation is straightforward via Node.js Package Runner: npx skills add yaklang/hack-skills. The primary interface is the hack command. No specific hardware or advanced software prerequisites are detailed beyond the npx tool.

Highlighted Details

• Covers 14 security domains including web, API, OS privilege escalation (Linux/Windows/macOS), Active Directory, mobile, binary exploitation, crypto, blockchain, and AI/ML security.
• Features a structured knowledge base with a master entry (hack), category entries (e.g., recon-for-sec), and deep topic skills for modularity and on-demand loading.
• Knowledge is distilled from sources like PayloadsAllTheThings and hacktricks, focusing on practical engagement methodology and auditable skills.
• Designed for AI agents, emphasizing stability, composability, and reasoning in real-world security scenarios.

Maintenance & Community

Contributions are welcomed for new vulnerability categories, methodologies, OS-specific paths, and CTF techniques. The README does not specify community channels like Discord or Slack.

Licensing & Compatibility

The repository's license is not explicitly stated in the README, which may pose adoption challenges. No specific compatibility notes for commercial or closed-source use are provided.

Limitations & Caveats

The primary limitation is the absence of a clear license. The content is framed as "educational distillation" for AI agents, potentially requiring adaptation for direct human use. It focuses on methodology rather than specific toolchains or vendor exploits.