review

Review Git changes for security, performance, and quality with GitHub PR feedback.

1|Updated Jul 22, 2026

Search Tags:#automation #git #code review #pull request #security #risk assessment

Ready to run

npx skills add https://github.com/wyattjoh/skills --skill review-wyattjoh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review
Source: https://github.com/wyattjoh/skills/tree/main/skills/review
Command: npx skills add https://github.com/wyattjoh/skills --skill review-wyattjoh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bun, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the labor-intensive process of performing deep-dive code reviews, ensuring that security, performance, and quality issues are identified before code is merged.

Core Features & Use Cases

Risk-Based Analysis: Cross-references changes against repository health metrics like churn, bug hotspots, and bus factor to prioritize high-risk code.
Automated PR Submission: Safely routes review findings directly to GitHub pull requests with inline comments anchored to the correct diff hunks.
Multi-Path Execution: Supports both human-facing markdown reports for direct interaction and machine-readable JSON output for orchestrator agents.

Quick Start

Run the review skill on your current branch to perform a comprehensive analysis of all staged and unstaged changes.

Frequently Asked Questions about review

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

FAQPage Schema

How do I automate code reviews for GitHub pull requests?▼

Automated code reviews for GitHub pull requests are performed by analyzing Git changes for security, performance, and quality, then submitting inline feedback directly to the pull request via automated scripts.

What is risk-aware code review and how does it work?▼

Risk-aware code review evaluates code changes against repository health metrics like churn, bug hotspots, and team bus factors to assess risk and prioritize high-risk code for deeper analysis.

Can I use Bun to run automated Git code analysis?▼

Yes, Bun is required as a dependency to run this automated Git code analysis, executing scripts that evaluate security, performance, and quality metrics on your current branch changes.

How do I get machine-readable JSON output for code review orchestrators?▼

Machine-readable JSON output for code review orchestrators is supported through multi-path execution, allowing automated agents to consume review findings alongside human-facing markdown reports.

Does automated code review work with unstaged Git changes?▼

Yes, automated code review works with both staged and unstaged Git changes, performing a comprehensive analysis of all modifications on the current branch to identify security and quality issues.