ai-factory.review

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

Updated Mar 31, 2025
One-click install
npx skills add https://github.com/spraby/api --skill ai-factory-review-spraby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-factory.review
Source: https://github.com/spraby/api/tree/main/.claude/skills/review
Command: npx skills add https://github.com/spraby/api --skill ai-factory-review-spraby

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 bottlenecks, and adherence to best practices.

Core Features & Use Cases

  • Staged Changes Review: Analyzes code that has been staged for commit.
  • Pull Request Review: Reviews changes within a specified pull request on GitHub.
  • Comprehensive Checklist: Covers correctness, security, performance, best practices, and testing.

Quick Start

Review the staged changes in the current repository.

Frequently Asked Questions about ai-factory.review

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

FAQPage Schema
How do I review staged git changes for security vulnerabilities and performance issues?

To review staged git changes for security vulnerabilities and performance issues, you can run an automated code review on your current repository. The review identifies bugs, security flaws, performance bottlenecks, and best practice violations.

Can I review a GitHub pull request for bugs and best practices automatically?

Yes, you can automatically review a GitHub pull request for bugs and best practices. The tool retrieves PR data via GitHub CLI and analyzes code logic, security flaws, performance optimizations, and coding standards.

Do I need GitHub CLI to review pull requests for code quality?

Yes, you need GitHub CLI to review pull requests for code quality. The automated review process requires both git and GitHub CLI to generate diffs and retrieve the PR data needed for analysis.

What is the best way to check code correctness before committing changes?

The best way to check code correctness before committing changes is to run an automated review on staged code. It evaluates correctness, security, performance, best practices, and testing adherence using a comprehensive checklist.

Does automated code review work with existing GitHub workflows?

Automated code review works with existing GitHub workflows by analyzing pull requests directly. It uses GitHub CLI to fetch PR data and evaluates code changes for security vulnerabilities, performance issues, and adherence to best practices.

What specific coding standards are checked during a pull request review?

During a pull request review, the tool checks coding standards alongside correctness, security, performance, and testing. It analyzes code logic and identifies best practice violations to ensure comprehensive code quality.