Cybersecurity Skills: Security Workflows for AI Coding Agents

Repositorybriiirussell/cybersecurity-skillsTool

An open-source repository provides structured cybersecurity skills for AI agents like Claude Code, Cursor, and Codex. It helps developers and security engineers run automated audits, dependency scans, and code reviews directly within agent workflows.

Key points

  1. Authored primarily as SKILL.md files for Claude Code, with adapters for Cursor and Codex.
  2. Installable via npx skills or through the Claude Code plugin marketplace under the MIT licence.
  3. Includes dedicated skills such as owasp-audit, api-audit, dependency-audit, and patch-sweep.
  4. Provides security-start as a guided onboarding prompt for teams without in-house CISOs.

Why it matters

It brings structured, framework-aligned security workflows into developer sprints, lowering the barrier to consistent code auditing for small teams and solo developers.

Analysis

Bri Russell's repository provides concrete guidance and execution patterns for AI coding agents to perform cybersecurity operations.

Mechanism and Tooling

The project standardises tasks via Claude Code's SKILL.md specifications, which are translated into adapters for editors like Cursor and Codex. Instead of relying on open-ended prompting, the skills provide concrete search patterns, OWASP/NIST/ATT&CK mapping, and reporting structures. Users can install them directly using npx skills or through the Claude Code plugin marketplace.

Practical Use Cases and Maturity

The library targets various skill levels and operational needs:

  • Guided Assessment: Beginners can invoke security-start, which asks triage questions to determine the appropriate skill.
  • Auditing Applications: Workflows like owasp-audit inspect source code, api-audit covers API endpoints, and dependency-audit focuses on known CVEs.
  • Fleet Operations: The patch-sweep skill is designed to locate vulnerable libraries across multiple applications and roll out patches.

With nearly 500 GitHub stars, 61 forks, active CI, and an MIT licence, the project displays steady community traction. By turning pentesting insights into structured agent skills, it helps engineers maintain baseline security without requiring full-time security staff.

Found in

Summary generated by AI (Gemini 3.8 Flash, 29 October 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.