mr-review

Orchestrate independent AI model code reviews on GitLab or GitHub merge requests.

Updated Jul 3, 2026

Search Tags:#automation #devops #quality assurance #code review #ai #merge request

Ready to run

npx skills add https://github.com/ohyesgocool/feature-loop --skill mr-review-ohyesgocool

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mr-review
Source: https://github.com/ohyesgocool/feature-loop/tree/main/skills/mr-review
Command: npx skills add https://github.com/ohyesgocool/feature-loop --skill mr-review-ohyesgocool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires glab, jq, curl, gitleaks, semgrep.

What problem does it solve?

This skill solves the problem of AI coding agents failing to catch their own mistakes by providing independent, multi-model reviews that identify blind spots in code, logic, and security.

Core Features & Use Cases

Independent Multi-Model Review: Orchestrates reviews from different AI models (OpenAI GPT and xAI Grok) to ensure diverse perspectives on code quality and correctness.
Delta-Aware Reviews: Efficiently reviews only the changes since the last review round to save time and tokens.
Static Analysis Integration: Automatically runs security and linting tools like gitleaks and semgrep before the LLM review to catch low-hanging fruit.

Quick Start

Use the mr-review skill to perform an external AI review on the current merge request.

Frequently Asked Questions about mr-review

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

FAQPage Schema

How do I automate AI code reviews for GitLab merge requests?▼

To automate AI code reviews for GitLab merge requests, this skill fetches diffs, applies context packs, and sends changes to multiple external AI models like OpenAI GPT and xAI Grok, then posts verbatim quality analysis comments back to the request.

Why use multiple AI models for pull request code review?▼

Using multiple AI models for pull request code review provides independent, diverse perspectives on code quality and correctness, which helps identify blind spots in code, logic, and security that a single model might miss.

Does this merge request review tool integrate static analysis with AI?▼

Yes, this merge request review tool integrates static analysis by automatically running security and linting tools like gitleaks and semgrep before the LLM review to catch low-hanging fruit and provide comprehensive code evaluation.

Can I review only the new changes in a GitHub pull request?▼

You can review only the new changes in a GitHub pull request using delta-aware reviews, which efficiently analyze only the code changes since the last review round to save time and tokens.

Do I need API keys to run automated merge request reviews?▼

Yes, you need valid API keys for configured models to run automated merge request reviews, as the process orchestrates analysis by sending merge request diffs to external AI models like OpenAI GPT and xAI Grok.

What dependencies are required for automated merge request code review?▼

Automated merge request code review requires glab, jq, curl, gitleaks, and semgrep dependencies to fetch diffs, process data, run static security analysis, and integrate with external AI models.