Summary

This repository provides a curated collection of cybersecurity "skills" designed for AI coding agents, addressing the need for accessible and actionable security practices. It empowers users of all technical backgrounds, from developers to security engineers, to leverage AI for tasks like code audits, threat modeling, and incident response, thereby enhancing security posture without requiring deep domain expertise.

How It Works

Skills are authored as Claude Code SKILL.md files, embedding specialized knowledge, methodologies (e.g., OWASP, NIST, ATT&CK), and concrete execution patterns. These skills are integrated into AI agents like Claude Code, Cursor, and Codex via adapters or direct installation. The AI agent interprets these skills to perform end-to-end security tasks, explaining findings in clear, technical language, thereby democratizing security workflows and closing gaps for teams with limited security headcount.

Quick Start & Requirements

Installation is streamlined via npx skills add briiirussell/cybersecurity-skills or through the Claude Code plugin marketplace. Alternative methods include manual cloning or using Git submodules. The primary requirement is a compatible AI coding agent (Claude Code, Cursor, Codex). No specific hardware, OS, or non-standard software dependencies are detailed. Official documentation and contribution guidelines are available within the repository.

Highlighted Details

• Comprehensive Skill Families: Encompasses seven categories: Application Security, Offensive Operations, Detection & Response, Cloud & Infrastructure, AI Security, Governance, and Compliance & Privacy.
• Standardized Methodologies: Integrates industry benchmarks such as OWASP Top 10, NIST CSF 2.0, MITRE ATT&CK, and regulatory frameworks (GDPR, HIPAA, PCI DSS).
• Actionable Security Workflows: Offers specific skills for code audits (owasp-audit), API security (api-audit), cloud misconfigurations (cloud-audit), dependency analysis (dependency-audit), incident triage (incident-triage), and AI risk management (ai-risk-management).
• Ethical Enforcement: Offensive skills incorporate explicit authorization checks and refuse to perform unauthorized or destructive actions.

Maintenance & Community

Developed by Bri Russell, the project actively encourages contributions, particularly field feedback from real-world audits to identify and address skill gaps. The repository follows semantic versioning for clear release management. While specific community channels like Discord or Slack are not listed, the contribution model emphasizes iterative improvement based on user experience.

Licensing & Compatibility

The project is released under the permissive MIT License. This license permits broad usage, including integration into commercial and closed-source applications, without imposing copyleft restrictions.

Limitations & Caveats

Offensive skills mandate explicit authorization for target systems and will refuse any operation lacking it. The efficacy of these skills is inherently tied to the AI agent's interpretation capabilities and the context provided by the user. While designed to be comprehensive, they serve as powerful assistants for first-pass analysis and augmenting human expertise rather than complete replacements for experienced security professionals.