review-fetch-phase

Name: review-fetch-phase
Availability: InStock
Author: Prisma

Fetch GitHub pull request review data into canonical JSON and markdown reports.

47.5k|2.5k|Updated Jun 20, 2019

Search Tags:#automation #code review #data extraction #pull request #github #triage

Ready to run

npx skills add https://github.com/prisma/prisma --skill review-fetch-phase

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-fetch-phase
Source: https://github.com/prisma/prisma/tree/main/skills-contrib/review-fetch-phase
Command: npx skills add https://github.com/prisma/prisma --skill review-fetch-phase

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill eliminates the manual effort required to gather, validate, and summarize complex GitHub pull request review data, ensuring you have a clean, canonical state for triage.

Core Features & Use Cases

Canonical State Acquisition: Fetches unresolved threads, review bodies, and issue comments into a versioned JSON format.
Artifact Generation: Automatically renders human-readable markdown summaries and machine-readable triage targets.
Use Case: Use this skill to instantly generate a comprehensive review summary for a large PR, allowing you to focus on actionable feedback rather than navigating GitHub's UI.

Quick Start

Run the review-fetch-phase skill by providing the URL of the pull request you want to analyze and the directory where you want the artifacts saved.

Frequently Asked Questions about review-fetch-phase

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

FAQPage Schema

How do I extract and normalize GitHub pull request review data for triage?▼

To extract and normalize GitHub pull request review data, you can fetch unresolved threads, review bodies, and issue comments into a canonical JSON schema to generate deterministic markdown reports and triage targets.

What is the best way to automate gathering unresolved threads and comments from a GitHub PR?▼

Automating GitHub PR review state acquisition targets specific pull request URLs to fetch unresolved threads and comments, validating data integrity and enforcing artifact safety through git-ignore to ensure a clean canonical state.

Can I generate machine-readable triage targets from GitHub pull request reviews?▼

Yes, you can generate machine-readable triage targets from GitHub pull request reviews by fetching and normalizing the review data into a versioned JSON format for downstream processing.

Does this GitHub PR review data extraction require specific dependencies or scripts?▼

No specific external dependencies are required to run the GitHub PR review data extraction, as it operates through self-contained scripts provided by the official Prisma author.

How do I get a human-readable markdown summary of a large GitHub pull request review?▼

To get a human-readable markdown summary of a large GitHub pull request review, provide the specific PR URL and target directory to automatically render comprehensive markdown summaries from the fetched review data.

What limitations should I expect when automating GitHub PR review state acquisition?▼

When automating GitHub PR review state acquisition, note that it operates specifically on individual pull request URLs and enforces artifact safety through git-ignore, meaning it focuses on deterministic data extraction rather than interactive UI navigation.