pr-report

Analyze pull request code changes and generate structured Markdown or HTML reports.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/thetangstr/agentdash --skill pr-report-thetangstr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-report
Source: https://github.com/thetangstr/agentdash/tree/main/.agents/skills/pr-report
Command: npx skills add https://github.com/thetangstr/agentdash --skill pr-report-thetangstr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps maintainers and developers deeply analyze pull requests, providing structured reports and explanations that facilitate decision-making.

Core Features & Use Cases

  • In-Depth PR Analysis: Reviews code changes with architectural and implementation insights.
  • Report Generation: Produces detailed Markdown or HTML reports summarizing findings, tutorials, and recommendations.
  • Use Case: When a team member asks for a detailed evaluation of a new contribution, this Skill can generate a comprehensive report highlighting strengths, risks, and suggested next steps.

Quick Start

Ask the AI to analyze a specific pull request or contribution to produce a markdown report detailing key findings and recommendations.

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 comprehensive code review report for a pull request?

To generate a pull request review report, you need to parse code diffs and analyze modifications to produce structured Markdown or HTML outputs. This process highlights architectural insights, risks, and suggested improvements for maintainers.

What is the best way to analyze pull request modifications for architectural risks?

Analyzing pull request modifications for architectural risks involves systematically reviewing code diffs to evaluate design decisions. This systematic review identifies implementation vulnerabilities and highlights structural improvements suitable for quality assurance tasks.

Can I use automated report generation for open-source code contributions?

Yes, you can use automated report generation for open-source code contributions. It systematically parses code diffs to produce detailed evaluations, highlighting strengths and suggesting next steps aligned with internal or open-source review processes.

How do you evaluate design implementation when reviewing a new pull request?

Evaluating design implementation when reviewing a pull request requires parsing code diffs to assess architectural alignment. This design evaluation generates structured reports that highlight implementation risks and recommend actionable improvements.

Does code review report generation work without integrating external dependencies?

Yes, code review report generation works without external dependencies, operating independently to parse diffs and generate structured reports. It relies solely on internal reasoning to produce maintainer-grade architectural and implementation insights.

What format do pull request analysis reports output to?

Pull request analysis reports output to Markdown or HTML formats. These reports summarize key findings, provide implementation tutorials, and detail actionable recommendations for code reviewers and maintainers.