pull-comments

Fetches GitHub pull-request comments and categorizes them by severity and type.

Updated Feb 24, 2026

Search Tags:#automation #code review #feedback #pull request #github #triage

Ready to run

npx skills add https://github.com/metalspawn/claude-ops --skill pull-comments

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pull-comments
Source: https://github.com/metalspawn/claude-ops/tree/main/skills/pull-comments
Command: npx skills add https://github.com/metalspawn/claude-ops --skill pull-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of managing feedback on your pull requests by automatically fetching, categorizing, and presenting review comments, saving you time and ensuring no critical feedback is missed.

Core Features & Use Cases

Automated Comment Fetching: Retrieves comments from various GitHub API endpoints.
Intelligent Categorization: Classifies feedback into Blocking, Suggestion, Question, or Nitpick.
User-Driven Triage: Allows you to select which comments to act upon.
Use Case: After a code review, use this Skill to get a clear, actionable list of all feedback, prioritized by severity, so you can efficiently address the most important points first.

Quick Start

Fetch and categorize all review comments for the current pull request.

Frequently Asked Questions about pull-comments

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

FAQPage Schema

How do I triage pull request feedback efficiently on GitHub?▼

To triage pull request feedback efficiently, you can automatically fetch external GitHub review comments and filter out bot or self-authored noise. The system categorizes remaining feedback into Blocking, Suggestion, Question, or Nitpick classes to prioritize actionable code changes.

How do I categorize GitHub code review comments automatically?▼

You can categorize GitHub code review comments automatically by analyzing review states and keywords. This mechanism classifies feedback into Blocking, Suggestion, Question, or Nitpick categories, allowing you to select which actionable items to route to execution workflows.

What is the best way to filter out bot comments on a pull request?▼

The best way to filter out bot comments on a pull request is to use an automated triage tool that fetches external review comments and explicitly removes self-authored and bot-generated feedback before categorizing the remaining items for user selection.

Can I route GitHub pull request suggestions directly to a code execution workflow?▼

Yes, you can route GitHub pull request suggestions directly to a code execution workflow. After categorizing feedback, the system presents a list for user selection and routes actionable code changes to either planning or direct execution workflows.

Does automated PR triage work with review states and keywords to identify blocking feedback?▼

Automated PR triage works directly with GitHub review states and keywords to identify blocking feedback. It retrieves comments from various API endpoints and classifies them based on these specific states and keyword matches to ensure critical issues are highlighted.