github-copilot-pr-comments — community github-copilot-pr-comments, mscompress, community, ide skills

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing automated GitHub Copilot review comment extraction and markdown report generation. A Versatile Compression Tool for Efficient Storage of Mass-Spectrometry Data

chrisagrams chrisagrams
[2]
[0]
Updated: 3/16/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
43
Canonical Locale
en
Detected Body Locale
en

Perfect for Development Agents needing automated GitHub Copilot review comment extraction and markdown report generation. A Versatile Compression Tool for Efficient Storage of Mass-Spectrometry Data

Core Value

Empowers agents to streamline developer workflows and enhance collaboration with AI coding assistants by leveraging `gh` CLI and `jq` for JSON processing, producing informative markdown reports from GitHub Copilot review comments.

Ideal Agent Persona

Perfect for Development Agents needing automated GitHub Copilot review comment extraction and markdown report generation.

↓ Capabilities Granted for github-copilot-pr-comments

Automating GitHub Copilot review comment extraction from PRs
Generating markdown reports for collaborative code reviews
Enhancing developer workflow efficiency with AI-driven comment analysis

! Prerequisites & Limits

  • Requires `gh` CLI installed and authenticated
  • Requires `jq` installed for JSON processing
  • Limited to GitHub Copilot review comments from PRs

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is github-copilot-pr-comments?

Perfect for Development Agents needing automated GitHub Copilot review comment extraction and markdown report generation. A Versatile Compression Tool for Efficient Storage of Mass-Spectrometry Data

How do I install github-copilot-pr-comments?

Run the command: npx killer-skills add chrisagrams/mscompress/github-copilot-pr-comments. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for github-copilot-pr-comments?

Key use cases include: Automating GitHub Copilot review comment extraction from PRs, Generating markdown reports for collaborative code reviews, Enhancing developer workflow efficiency with AI-driven comment analysis.

Which IDEs are compatible with github-copilot-pr-comments?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for github-copilot-pr-comments?

Requires `gh` CLI installed and authenticated. Requires `jq` installed for JSON processing. Limited to GitHub Copilot review comments from PRs.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add chrisagrams/mscompress/github-copilot-pr-comments. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use github-copilot-pr-comments immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

github-copilot-pr-comments

Install github-copilot-pr-comments, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

GitHub Copilot PR Comments Skill

Extract GitHub Copilot review comments from a PR and produce a markdown report using gh CLI.

Prerequisites

  • gh CLI installed and authenticated (gh auth login)
  • jq installed for JSON processing

Usage

bash
1./scripts/fetch_copilot_comments.sh <owner/repo> <pr_number> [output_file]

Parameters

ParamRequiredDescription
owner/repoYesFull repo identifier, e.g. microsoft/vscode
pr_numberYesPR number
output_fileNoOutput markdown path (default: copilot_review.md)

Workflow

  1. Ask the user for repo and PR number if not provided.
  2. Verify gh is authenticated (gh auth status). If not, instruct the user to run gh auth login.
  3. Run: bash scripts/fetch_copilot_comments.sh <owner/repo> <pr_number> /home/claude/copilot_review.md
  4. Copy output to /mnt/user-data/outputs/copilot_review.md and present to the user.

Output Format

The generated markdown includes:

  • PR metadata — title, author, link, creation date
  • Summary — total Copilot comments by type, files reviewed, suggestion count
  • Review summaries — top-level Copilot review bodies with approval state
  • Inline code comments — grouped by file with diff context, line numbers, and suggestion blocks
  • General comments — issue-level comments from Copilot

Copilot Detection

Comments are attributed to Copilot if the author login matches: copilot, copilot[bot], github-copilot, github-copilot[bot], github-advanced-security[bot], or any bot user with "copilot" in the login.

Related Skills

Looking for an alternative to github-copilot-pr-comments or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

★ 333.8k
⑂ 0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

★ 149.6k
⑂ 0
AI

flags

Logo of vercel
vercel

The React Framework

★ 138.4k
⑂ 0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

★ 98.6k
⑂ 0
Developer