Can it review code that hasn't been committed yet?

Yes, the skill can specifically target staged changes (git diff --staged) or recent unstaged changes to provide feedback before you commit.

What level of detail does the AI provide?

It uses a high-reasoning setting for thorough analysis, providing a summary, categorized issues (Critical, Warning, Suggestion), and line-by-line feedback.

Does it check for security vulnerabilities?

Yes, security auditing is a core part of the review process, alongside logic errors, performance, and best practices.

How do I trigger the Codex Code Reviewer?

You can trigger the skill by using natural language commands like 'codex review code', 'have codex review this', or 'get codex feedback on code'.

Codex Code Reviewer

Name: Codex Code Reviewer
Author: kanlanc

bykanlanc

Seguridad y Pruebas

Performs comprehensive, high-reasoning code reviews to identify bugs, security vulnerabilities, and performance bottlenecks before you commit.

Acerca de

Codex Code Reviewer is a specialized Claude Code skill designed to provide deep architectural and technical feedback on your codebase. By leveraging high-effort reasoning models, it analyzes staged changes or specific files to uncover logic errors, security risks, and deviations from best practices. It streamlines the development workflow by offering structured feedback—categorizing issues as critical, warnings, or suggestions—ensuring your code is production-ready and adheres to high-quality standards.

Características Principales

High-reasoning detection of complex logic and architectural flaws
Context-aware reviews based on local codebase patterns
Security vulnerability and performance optimization checks
0 GitHub stars
Automated analysis of git-staged or recent changes
Structured feedback format with categorized issue severity

Casos de Uso

Supplementing manual peer reviews with automated technical insights
Pre-commit sanity checks to prevent bugs from reaching the main branch
Validating security and performance standards during large refactors

Acerca de

Características Principales

High-reasoning detection of complex logic and architectural flaws
Context-aware reviews based on local codebase patterns
Security vulnerability and performance optimization checks
0 GitHub stars
Automated analysis of git-staged or recent changes
Structured feedback format with categorized issue severity

Casos de Uso

Supplementing manual peer reviews with automated technical insights
Pre-commit sanity checks to prevent bugs from reaching the main branch
Validating security and performance standards during large refactors