Audit Skills: Comprehensive Audit Checklists for AI Coding Agents

Audit Skills provides a set of language- and framework-agnostic audit checklists designed to enhance security, correctness, and operability in AI coding agents. Compatible with popular coding assistants such as Claude Code, GitHub Copilot, Cursor, Codex CLI, and OpenCode, this project empowers developers to ensure that their code meets high standards of quality and reliability.

Project Features

• Framework-Agnostic: Audit checklists are structured as invariants and detection smells, allowing for application across different programming environments. Whether working within a Rails app, a Spring service, or an Express API, the same content can be utilized, as the agents manage the framework-specific translation.

• Efficient Code Auditing: Use the /audit command to identify issues in the code effectively. The tool can discover vulnerabilities, such as SQL injections and insecure access controls, which static analysis tools might miss. Each finding includes severity ratings and potential fixes.

Key Components

• AGENTS.md: This file acts as a concise summary of the 30 audit invariants available, ensuring that all agents can access crucial information within any project context.
• Audit Skills: The core of the project is built in the .agents/skills/audit/ directory, where all checklists and remediation patterns are organized into four main categories:
  • Access & Data Security: Evaluate server-side permission checks, session management, and data exposure risks.
  • Input & API: Assess potential injection vulnerabilities, insecure configurations, and improper input validation.
  • Correctness: Ensure multi-store atomicity, idempotency, and sound error handling throughout the application.
  • Operability: Confirm that the application performs optimally, with appropriate observability and resource limits.

How to Use

• Automatic Triggers: Agents can automatically initiate audits based on their descriptions, prompting checks without manual intervention.
• Command-Based Auditing: Users can run full audits or specific checks by simply issuing commands like /audit-idor or /audit-injection, focusing on particular vulnerabilities as needed.
• Fix Implementation: Remediation steps can be initiated separately from auditing findings. This two-step process helps maintain a clear audit trail and enhances overall coding practices.

Visual Demonstration

The visual representation shows how the /audit command identifies security vulnerabilities and provides actionable fixes in a sample code handler.

Conclusion

Overall, Audit Skills is a valuable asset for developers seeking to improve their code quality and security practices. By leveraging its comprehensive audit checklists, teams can proactively mitigate risks and ensure their applications operate with integrity and safety.