The audit-skills project provides language- and framework-agnostic checklists designed for AI coding agents, focusing on security, correctness, and operability. It offers a comprehensive set of 30 audit items adaptable to any coding environment, making it easier for developers to ensure quality and reliability in their applications.
audit-skills
audit-skills offers comprehensive, language- and framework-agnostic audit checklists tailored for AI coding agents, focusing on crucial aspects such as security, correctness, and operability. This tool seamlessly integrates with popular AI coding assistants like Claude Code, GitHub Copilot, Cursor, Codex CLI, OpenCode, and any other agent capable of reading files.
Key Features
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Framework Versatility: The checklists are structured around invariants and detection smells rather than specific framework APIs. This allows for auditing across diverse platforms, including Rails, Spring, and Express, while the agent provides the necessary framework-specific translations.
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Comprehensive Audits: The
/auditcommand executes a thorough review, applying all relevant checklists to evaluate code behavior. Individual topics can also be invoked separately for targeted assessments.
Detailed Checklists
The project includes extensive audits categorized into four main areas:
Access & Data Security
Audits focus on permission checks, session flows, IDOR vulnerabilities, data exposure, and more. Each checklist is detailed and provides clear guidance for remediation.
Input & API
This section addresses common vulnerabilities such as injection attacks, configuration flaws, secrets management, and API validation issues. Each checklist includes practical checks to ensure robust API security and input handling.
Correctness
Audits in this category assess atomicity, idempotency, error handling, and race conditions. The goal is to ensure reliable and predictable application behavior under various circumstances.
Operability
These audits examine system observability, migration safety, resource limits, and overall system design, ensuring that applications run smoothly and efficiently.
Example Usage
The following example demonstrates how to run an audit:
/audit
To audit specific areas, commands such as /audit-idor and /audit-injection can be utilized, providing flexibility in code assessments.
Remediation Patterns
For each identified issue, several remediation strategies are available. The audit findings direct users to relevant playbooks, offering clear instructions and best practices for addressing vulnerabilities and improving code integrity.
Integration with Projects
Integrating audit-skills into any project is straightforward. Copy the .agents folder into your project folder, allowing seamless access to all specified checklists. This setup enhances productivity by enabling automatic audits triggered through agent requests or manual commands.
Conclusion
The audit-skills repository provides a robust framework for ensuring code security, correctness, and operability across various coding environments. By leveraging its comprehensive audit checklists, developers can enhance their projects' integrity while simplifying the auditing process. Explore audit-skills on GitHub to leverage its full potential for your coding projects.
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