quality-check

Automate code reviews by invoking an agent-driven workflow that performs structured, checklist-driven analysis on pull requests and feature branches. This generates a standardized CODE REVIEW REPORT containing per-file issues, severities, locations, and recommended fixes.

Checklist-driven code review systematically evaluates security, quality, performance, and maintainability across codebases. It ensures thorough, consistent reviews by applying a formal issue taxonomy to identify and remediate code quality issues with structured feedback.

Yes, you can generate a standardized code review report that details per-file issues, severities, and locations. The report provides recommended fixes and actionable guidance to remediate identified security and quality problems.

Automated code review is applicable across languages and codebases. It delegates to a code-reviewer agent that applies a comprehensive checklist to identify security, quality, performance, and maintainability issues regardless of the specific programming language.

The best way to identify and remediate security issues during major refactors is using a structured, agent-driven review workflow. It applies a comprehensive checklist to generate actionable reports with severities and recommended fixes for maintainability.

You should consult external Codex models during code review when interpreting complex results or needing additional guidance beyond the standard checklist. The workflow offers specific guidance on when external model consultation is necessary for security and quality analysis.