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ghpworkuse-web
ghpworkuse-webCOMMUNITY
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GitHub

pr-review

Automate GitHub pull request reviews for correctness, security, and code quality.

Updated Jan 16, 2026
Search Tags:#testing#security#github#code-quality#code-review#pull-request#pr-review
One-click install
npx skills add https://github.com/ghpworkuse-web/train --skill pr-review-ghpworkuse-web
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/ghpworkuse-web/train/tree/main/AutoGPT/.claude/skills/pr-review
Command: npx skills add https://github.com/ghpworkuse-web/train --skill pr-review-ghpworkuse-web

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reviews of pull requests are time-consuming and error-prone; this Skill automates a thorough PR review focusing on correctness, security, code quality, and testing considerations, helping teams ship safer code faster.

Core Features & Use Cases

  • Automated checks: evaluate PR diffs for logical correctness, edge cases, and test coverage.
  • Security and quality gate: identify potential security issues, code smells, and gaps in testing.
  • Actionable feedback: generate structured, reviewer-ready comments and suggestions for authors.

Quick Start

Provide a PR number or URL to trigger a full PR review and generate actionable feedback.

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 for code correctness and security?▼

Automating pull request reviews for correctness and security involves parsing PR diffs and descriptions to evaluate logic, identify security issues, and generate structured, actionable feedback. This Skill uses GitHub PR data to automate that comprehensive review process.

What should a comprehensive code review check for in a GitHub PR?▼

A comprehensive code review in a GitHub PR should check for logical correctness, edge cases, potential security issues, code smells, and gaps in test coverage. It involves evaluating the PR diff against these criteria to ensure adherence to project standards.

How do I generate actionable feedback for a pull request?▼

To generate actionable feedback for a pull request, you provide a PR number or URL to trigger an automated review. The system parses the diff and description to produce structured, reviewer-ready comments and suggestions for the author.

Can I use GitHub PR data to identify testing gaps and code smells?▼

Yes, you can use GitHub PR data accessed via the API or gh CLI to parse diffs and identify testing gaps, code smells, and potential security issues. This automated evaluation helps enforce a security and quality gate for software projects.

What is the best way to evaluate PR diffs for edge cases and logic errors?▼

The best way to evaluate PR diffs for edge cases and logic errors is to automate the review process using a tool that parses the diff. This ensures a thorough analysis of logical correctness and test coverage without the time-consuming manual effort.

Does this automated PR review work with the gh CLI?▼

Yes, this automated PR review works with the gh CLI and the GitHub API. It uses these interfaces to fetch and parse PR descriptions, diffs, and existing reviews to generate structured feedback.

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