aif-review

Name: aif-review
Availability: InStock
Author: n-marusov

Automate code review on staged changes or pull requests for bugs, security, and performance.

Updated Jun 13, 2026

Search Tags:#code review #best practices #security analysis #performance analysis #bug detection

Ready to run

npx skills add https://github.com/n-marusov/vedo-help --skill aif-review-n-marusov

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aif-review
Source: https://github.com/n-marusov/vedo-help/tree/main/.agents/skills/aif-review
Command: npx skills add https://github.com/n-marusov/vedo-help --skill aif-review-n-marusov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, gh, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code review, checking for bugs, security issues, performance problems, and best practices in code commits or pull requests.

Core Features & Use Cases

Automated Code Review: Perform thorough code reviews on staged changes or pull requests.
Bug and Security Checks: Identifies and reports potential bugs, security vulnerabilities, and performance issues.
Best Practices: Checks for adherence to best coding practices.
Use Case: When a developer wants to automatically review a pull request in a GitHub repository before merging it.

Quick Start

Run the aif-review skill to review staged changes or a specific pull request by specifying the PR number or branch commit.

Frequently Asked Questions about aif-review

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

FAQPage Schema

How do I automate code review for a pull request in GitHub?▼

To automate code review for a pull request, you can run an analysis tool against the GitHub repository to check staged changes or specific PR commits. This process identifies bugs, security issues, performance problems, and best practice violations before merging.

What does automated code analysis check for in staged Git changes?▼

Automated code analysis checks staged Git changes for potential bugs, security vulnerabilities, performance bottlenecks, and adherence to coding best practices. It evaluates the staged commits to ensure software quality before the code is merged into the main branch.

Do I need Python and Git installed to run automated code analysis?▼

Yes, you need Python, Git, and the GitHub CLI installed to run this automated code analysis. These dependencies provide the necessary environment to access the Git repository, read staged changes, and execute the code review scripts.

Can I analyze a specific pull request branch for security issues?▼

Yes, you can analyze a specific pull request branch for security issues by specifying the PR number or branch commit. The code review process targets the provided changes to detect vulnerabilities, bugs, and performance problems.

What is the best way to check code commits for performance problems and best practices?▼

The best way to check code commits for performance problems and best practices is using an automated code review tool. It analyzes your staged changes or pull requests, applying software development workflows to detect issues and report them efficiently.