pr-review

Analyze pull request diffs and post inline comments with severity levels.

4|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/mkalkere/agent-coordinator --skill pr-review-mkalkere
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/mkalkere/agent-coordinator/tree/main/.os/skills/development/pr-review
Command: npx skills add https://github.com/mkalkere/agent-coordinator --skill pr-review-mkalkere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated reviews of pull requests to assess code quality, security, and correctness, reducing manual overhead and speeding up merges.

Core Features & Use Cases

  • Automated PR review workflow: Analyzes diffs for security, correctness, and quality to surface issues early.
  • Inline comment generation: Produces actionable inline feedback with severity levels to guide fixes.
  • Brokered collaboration: Publishes review results to the work bus so developers, agents, and tools stay in sync.

Quick Start

Invoke the pr-review skill on a pull request to generate inline comments and publish the results to the work bus.

Frequently Asked Questions about pr-review

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

FAQPage Schema
How do I automate pull request reviews on GitHub for code quality and security?

Automated pull request reviews assess code quality, security, and correctness by analyzing diffs, CI status, and contributor intent. This skill gathers context, reviews each file, and posts inline comments with severity levels to surface issues early.

What is the best way to add an AI agent to review code diffs on pull requests?

An AI agent reviews code diffs on pull requests by providing a structured methodology to evaluate security and correctness. It analyzes the changes, generates actionable inline feedback with severity levels, and publishes a summarized result to keep developers and tools in sync.

Does automated PR review work with GitHub-based workflows and CI status checks?

Automated PR review is applicable to GitHub-based workflows and PR-driven repositories. It analyzes diffs alongside CI status and contributor intent to assess correctness, ensuring the review process integrates smoothly into existing development pipelines.

How do I generate inline comments with severity levels for code review issues?

Generating inline comments with severity levels involves analyzing pull request diffs for code quality and security issues. The review process produces actionable inline feedback directly on the files, guiding developers toward necessary fixes.

Can I publish pull request review results to a work bus for agent collaboration?

Publishing pull request review results to a work bus brokered for collaboration keeps developers, agents, and tools in sync. The skill posts the summarized review outcome so downstream workflows can react to the assessed code quality automatically.

What limitations should I expect when using an AI agent for pull request code review?

Using an AI agent for pull request code review relies on analyzing diffs, CI status, and contributor intent to assess correctness. It reduces manual overhead but depends on the structured methodology of gathering context and reviewing files to generate accurate severity feedback.