code-review

Review source code changes for security, quality, and maintainability issues.

Updated May 25, 2026

Search Tags:#quality assurance #code review #performance #security #maintainability

Ready to run

npx skills add https://github.com/BetaS/swm-gis-workshop --skill code-review-betas

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/BetaS/swm-gis-workshop/tree/main/.codex/skills/code-review
Command: npx skills add https://github.com/BetaS/swm-gis-workshop --skill code-review-betas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a thorough code review process, ensuring quality, security, and maintainability of code changes.

Core Features & Use Cases

Parallel Review Lanes: Conducts a two-lane review with code-reviewer and architect agents.
Security Checks: Identifies hardcoded secrets, injection risks, XSS, CSRF, etc.
Code Quality Analysis: Evaluates function size, complexity, nesting depth, and performance.
Best Practices and Maintainability: Checks for naming, documentation, error handling, duplication, and coupling.
Severity Rating: Provides severity ratings for identified issues.
Final Synthesis: Combines the outputs of both lanes to give a final recommendation.
Use Case: Before merging a pull request or implementing a major feature, use this Skill to ensure the code meets the required standards.

Quick Start

Run the code-review skill on your latest code changes.

Frequently Asked Questions about code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate code review for security vulnerabilities and maintainability?▼

Automate code review by running parallel review lanes that check source code changes for security vulnerabilities, quality issues, and maintainability concerns. This process evaluates function size, complexity, nesting depth, and performance to provide severity ratings and final merge recommendations.

What is the best way to check pull requests for hardcoded secrets and injection risks?▼

The best way to check pull requests for hardcoded secrets and injection risks is using a comprehensive code review process. It identifies security vulnerabilities like XSS and CSRF while evaluating code quality, error handling, and duplication to ensure changes meet required standards.

Does automated code review work for evaluating function size and code complexity?▼

Yes, automated code review works for evaluating function size and code complexity. It analyzes nesting depth, performance impacts, naming conventions, and coupling, providing severity ratings for identified issues to ensure maintainability before merging major feature implementations.

How do I run a comprehensive code quality assurance check before merging a feature?▼

Run a comprehensive code quality assurance check by applying a two-lane review process with code-reviewer and architect agents. This synthesizes security checks, best practices, and maintainability metrics into a final recommendation to validate major code changes.

Can I use parallel review lanes for general code quality assurance?▼

Yes, you can use parallel review lanes for general code quality assurance. This approach utilizes separate code-reviewer and architect agents to validate source code changes, combining their outputs to deliver a synthesized final recommendation for your codebase.