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pr-report

Analyze pull request content and generate HTML or Markdown reports.

Updated Apr 7, 2026
Search Tags:#developer tools#code review#report generation#software maintenance#PR analysis
One-click install
npx skills add https://github.com/louisfbuys/paperclip --skill pr-report-louisfbuys
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-report
Source: https://github.com/louisfbuys/paperclip/tree/main/.agents/skills/pr-report
Command: npx skills add https://github.com/louisfbuys/paperclip --skill pr-report-louisfbuys

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, mdoc, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps maintainers to deeply review and report on pull requests, providing a comprehensive and tutorial-style explanation, and creating polished artifact reports such as HTML or Markdown.

Core Features & Use Cases

  • Deep PR Review: Analyze and explain pull requests in detail, suitable for maintainers to understand changes thoroughly.
  • Automated Report Generation: Produce polished HTML or Markdown reports based on the analysis.
  • Use Case: When a maintainer needs to review a complex pull request and generate a comprehensive report for decision-making.

Quick Start

Run the pr-report skill to generate a detailed report for PR #1234.

Frequently Asked Questions about pr-report

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

FAQPage Schema
How do I generate a detailed pull request review report for maintainers?▼

To generate a pull request review report, you can use automated analysis to perform deep code analysis and architectural comparisons, producing structured HTML or Markdown outputs for maintainers to understand changes thoroughly.

What is deep PR analysis and when do I need a structured report?▼

Deep PR analysis evaluates code changes and architecture to create a structured report. You need it when reviewing complex pull requests to ensure comprehensive understanding and decision-making.

Do I need Python and local codebase access to analyze pull requests?▼

Yes, you need Python and local codebase access to run deep code analysis and generate architectural comparison reports. These dependencies are required to execute the analysis scripts and process repository content.

Can I export automated code review results as HTML or Markdown?▼

Yes, you can export automated code review results as polished HTML or Markdown artifacts. The analysis produces these structured formats directly, allowing maintainers to share and review comprehensive reports.

Are there limitations to automated PR analysis for complex architectural changes?▼

Automated PR analysis requires local codebase access and Python to function, meaning it cannot run in isolated environments without repository synchronization. It focuses on code and architecture rather than runtime behavior.

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