autoreview

Automate code review of commits and pull requests using Codex analysis.

18|1|Updated Jun 12, 2026
One-click install
npx skills add https://github.com/vignesh2027/Vilvona-AI --skill autoreview-vignesh2027
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoreview
Source: https://github.com/vignesh2027/Vilvona-AI/tree/main/.agents/skills/autoreview
Command: npx skills add https://github.com/vignesh2027/Vilvona-AI --skill autoreview-vignesh2027

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the code review process, providing Codex review as the default engine for efficient and effective analysis.

Core Features & Use Cases

  • Automated Code Review: Provides structured review of code changes, identifying issues and suggesting improvements.
  • Default Codex Review: Utilizes Codex review for comprehensive analysis when no specific engine is set.
  • Use Case: Ideal for developers who want to quickly review code changes before finalizing commits or merging branches, ensuring quality and safety.

Quick Start

Run the autoreview skill on your code changes with the command: autoreview --mode local.

Frequently Asked Questions about autoreview

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

FAQPage Schema
How does automated code review with AI analysis work for local branches?

Automated code review uses AI-powered analysis to identify issues and suggest improvements in code commits. It evaluates changes in local branches or pull requests to ensure code quality and safety before merging.

How do I run an automated code review on my local code changes?

Run automated code review on local code changes by executing the autoreview command with the local mode flag. This triggers AI-powered analysis on your current branch to identify issues and suggest improvements.

Does automated code review require access to the Codex engine?

Yes, automated code review requires access to the Codex engine for analysis. Codex serves as the default engine to provide comprehensive AI-powered analysis and identify issues in your code commits.

Can I use automated AI analysis to review code commits in pull requests?

Yes, automated AI analysis is suitable for reviewing code changes in pull requests. It evaluates commits to identify issues and suggest improvements, ensuring code quality and safety before merging.

What is the best way to ensure code quality and safety before merging branches?

The best way to ensure code quality and safety before merging branches is to apply automated code review. Using AI-powered analysis on your commits identifies potential issues and suggests improvements before finalizing changes.

What happens if no specific review engine is set for the code analysis?

If no specific review engine is set, the code analysis defaults to the Codex engine. This ensures comprehensive automated review and AI-powered analysis to identify issues in your code commits.