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jketreno
jketrenoCOMMUNITY
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review

Automate code review and apply AI-driven fixes before merging.

5|Updated Apr 20, 2026
Search Tags:#code quality#code review#AI-driven#automated checks#AI coding assistance
One-click install
npx skills add https://github.com/jketreno/clare --skill review-jketreno
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/jketreno/clare/tree/main/.codex/skills/review
Command: npx skills add https://github.com/jketreno/clare --skill review-jketreno

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 issues like correctness, security, and design principles violations, and assists in fixing them before merging.

Core Features & Use Cases

  • Automated Checks: Integrates with GitHub Copilot, Claude Code, Cursor, Codex, and MCP-compatible agent frameworks to enforce code standards.
  • AI-Driven Fixes: Uses AI to correct identified issues in code before they reach human review.
  • Use Case: Before merging code changes, run this Skill to automatically check for and fix potential issues like off-by-one errors, security vulnerabilities, and adherence to design principles.

Quick Start

Run the review skill on your latest branch to automate code review.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code review and fix security vulnerabilities before merging?▼

AI-driven code review automatically checks your branch for off-by-one errors, security vulnerabilities, and design violations, then applies fixes before merging. It enforces defined rules and standards in collaborative development environments.

Does automated code review work with GitHub Copilot, Cursor, and MCP-compatible agent frameworks?▼

Automated code review integrates with GitHub Copilot, Claude Code, Cursor, Codex, and MCP-compatible agent frameworks to enforce code standards. This compatibility allows AI to provide real-time suggestions and fixes based on your defined rules.

What is the best way to enforce code quality and design principles during development?▼

The best way to enforce code quality is using AI-driven checks that identify design principle violations and security vulnerabilities. This process automates standards adherence and corrects potential issues before code changes reach human reviewers.

Can I use AI to fix off-by-one errors and design violations in my code automatically?▼

Yes, you can use AI-driven fixes to automatically correct off-by-one errors, security vulnerabilities, and design principle violations in your code. The AI applies corrections based on defined rules before your code changes are merged.

When do I need to run automated checks on my latest branch?▼

You need to run automated checks on your latest branch before merging code changes. This ensures AI-driven fixes identify and correct potential issues like security vulnerabilities and adherence to design principles prior to human review.

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