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ai-factory.review

Review staged changes or GitHub pull requests for bugs and security flaws.

6|Updated Jul 4, 2025
Search Tags:#git#code review#best practices#performance#security#github
One-click install
npx skills add https://github.com/diarworld/timesheeter --skill ai-factory-review-diarworld
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-factory.review
Source: https://github.com/diarworld/timesheeter/tree/main/.opencode/skills/review
Command: npx skills add https://github.com/diarworld/timesheeter --skill ai-factory-review-diarworld

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of code review, identifying potential bugs, security vulnerabilities, performance issues, and deviations from best practices.

Core Features & Use Cases

  • Automated Code Analysis: Analyzes staged code changes or entire pull requests.
  • Comprehensive Checklist: Covers correctness, security, performance, best practices, and testing.
  • Use Case: Before merging new code, use this Skill to get an automated, detailed review report, ensuring code quality and reducing the risk of introducing defects.

Quick Start

Review the code that has been staged for commit.

Frequently Asked Questions about ai-factory.review

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

FAQPage Schema
How do I automate code review for staged git changes before committing?▼

Automated code review for staged git changes analyzes your diff to identify bugs, security flaws, and performance bottlenecks. It checks adherence to coding standards and best practices, ensuring code quality before you merge new code.

Can I run automated code analysis on a GitHub pull request?▼

Yes, automated code analysis can review entire GitHub pull requests. By utilizing Git and GitHub CLI for diff generation, the review process identifies potential vulnerabilities and deviations from best practices across all changes in the PR.

What does automated code analysis check for in a pull request?▼

Automated code analysis checks for correctness, security vulnerabilities, performance issues, and testing gaps. It uses a comprehensive checklist to ensure adherence to best practices and reduce the risk of introducing defects into your codebase.

Do I need GitHub CLI to review code quality and security on local staged changes?▼

You need Git for local staged changes, but GitHub CLI is required to analyze entire GitHub pull requests. The review utilizes these tools for diff generation and analysis to identify bugs and security flaws.

What is the best way to find security vulnerabilities before merging new code?▼

The best way to find security vulnerabilities before merging is to perform an automated code review. It analyzes staged changes or pull requests to detect security flaws, performance bottlenecks, and deviations from best practices.

Why should I use automated code review instead of manual checks?▼

Automated code review provides a detailed report on bugs, security flaws, and performance bottlenecks that manual checks might miss. It enforces adherence to coding standards and best practices, reducing the risk of introducing defects.

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