review

Automate GitHub pull request reviews across correctness, security, and quality.

Updated May 5, 2026
One-click install
npx skills add https://github.com/hkjang/qwen-code --skill review-hkjang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/hkjang/qwen-code/tree/main/packages/core/src/skills/bundled/review
Command: npx skills add https://github.com/hkjang/qwen-code --skill review-hkjang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github, qwen-code, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of code review, significantly reducing the time and effort required to identify issues in code changes.

Core Features & Use Cases

  • Multi-dimensional Review: Analyzes code for correctness, security, code quality, performance, and test coverage.
  • Parallel Agent Workflow: Utilizes 9 agents to perform a comprehensive review simultaneously.
  • Iterative Reverse Audit: Performs an iterative audit to ensure no issues are missed.
  • Batch Verification: Verifies all findings in a single batch for efficiency.
  • Cross-repo Support: Supports review across repositories.
  • Use Case: When reviewing a pull request on GitHub, use the /review command to automatically analyze the code changes for potential issues without manual inspection.

Quick Start

To review a PR, run the command: /review <pr-number>

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code review for pull requests on GitHub?

Automate code review for pull requests by running the /review command with a PR number, which triggers LLMs to analyze code changes for correctness, security, quality, performance, and test coverage.

Can I use LLMs to check code security and quality across multiple repositories?

Yes, automated code review supports cross-repo pull requests, allowing LLMs to analyze security and code quality changes across multiple GitHub repositories simultaneously.

What is the best way to perform a comprehensive code review without manual inspection?

The best way to perform comprehensive code review without manual inspection is using a parallel agent workflow with 9 agents that analyze changes simultaneously and perform an iterative reverse audit to ensure no issues are missed.

Does automated code review require GitHub API access and specific LLM configurations?

Yes, automated code review requires GitHub API access and specific LLM configurations to function properly within your software development workflow.

How does batch verification work during an automated code review?

Batch verification in automated code review consolidates all findings from the multi-dimensional analysis into a single batch, verifying all potential issues efficiently at once rather than individually.

When should I use an automated code review Skill in my software development workflow?

Use automated code review in software development workflows where code quality and security are critical, streamlining the process and significantly reducing the time and effort required to identify issues in code changes.