Audit: Skill library for agentic app audit (github.com)

A new library of focused audit skills has been introduced for AI coding agents, designed to enhance the auditing process for various aspects of software development. Each skill acts as a self-contained playbook, enabling agents to conduct specialized audits on a codebase and generate detailed reports that include file paths, line numbers, and suggested fixes. These skills cover essential areas such as input validation, authentication flows, rate-limiting, database performance, and CORS configuration, among others, making them broadly applicable across different projects without being tied to specific tools or platforms. This initiative is significant for the AI/ML community as it standardizes auditing practices, allowing developers to systematically assess their code's security and performance. By facilitating the identification of vulnerabilities and suggesting actionable fixes, the library enhances software quality and safety prior to deployment. The flexible design allows agents to perform focused checks or comprehensive reviews, thereby streamlining the auditing process. The expected outputs from these skills not only provide insights into potential issues but also guide developers on improvements, fostering a proactive approach to application security and reliability.