hnh-review-pr

Review GitHub pull requests by fetching metadata, verifying builds, and analyzing code quality.

3|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/huynguyenh/skills --skill hnh-review-pr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hnh-review-pr
Source: https://github.com/huynguyenh/skills/tree/main/skills/hnh-review-pr
Command: npx skills add https://github.com/huynguyenh/skills --skill hnh-review-pr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the comprehensive review of GitHub pull requests, ensuring code quality, correctness, and adherence to project standards before merging.

Core Features & Use Cases

  • Automated PR Analysis: Fetches PR metadata, linked tickets, and code diffs.
  • Multi-Agent Review: Employs specialized agents for build verification, architecture, discussion history, and clean code analysis.
  • Rigorous Verification: Includes fact-checking, logic verification, and codebase pattern consistency checks to eliminate false positives.
  • Use Case: When you share a GitHub PR URL or ask to "review this PR", the skill will perform a deep analysis, providing a categorized report with actionable findings and direct links to the code.

Quick Start

Use the hnh-review-pr skill to review the pull request at https://github.com/owner/repo/pull/123.

Frequently Asked Questions about hnh-review-pr

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

FAQPage Schema
How do I automate GitHub pull request code review and verification?

To automate GitHub pull request code review, you can trigger a deep analysis by sharing a PR URL or number. The review fetches metadata, verifies builds, analyzes architecture, and cross-references findings with codebase patterns.

Does this code review automation work with Jira and esa.io APIs?

Yes, the deep PR review process requires access to GitHub, Jira, and esa.io APIs. It cross-references factual and codebase patterns by fetching linked tickets and metadata to eliminate false positives during the verification process.

What do I need to set up before running automated pull request verification?

You need the gh CLI, Python 3, and access to GitHub, Jira, and esa.io APIs to run automated pull request verification. These dependencies allow the multi-agent review to fetch diffs, verify builds, and analyze code quality.

How does multi-agent code review eliminate false positives in pull requests?

Multi-agent code review eliminates false positives by employing specialized agents for build verification, architecture, discussion history, and clean code analysis. It rigorously fact-checks findings against codebase patterns to ensure accurate, actionable results.

Can I review a pull request by just asking a conversational question?

Yes, the automated code review handles conversational requests for code review. You can simply ask it to review a pull request or provide a PR URL, and it will generate a categorized report with actionable findings and direct code links.

What are the limitations of using Python and gh CLI for PR verification?

The PR verification process is limited by its dependency on external API access for GitHub, Jira, and esa.io. If API permissions are missing or rate limits are hit, the multi-stage review and fact-checking capabilities will fail to fetch required metadata.