review-pr

Automate GitHub PR reviews by applying project conventions from rules and AGENTS.md files.

25|15|Updated Aug 2, 2021

Search Tags:#automation #security #github #review #conventions #code-quality #pr

Ready to run

npx skills add https://github.com/JesusFilm/core --skill review-pr-jesusfilm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-pr
Source: https://github.com/JesusFilm/core/tree/main/.cursor/skills/review-pr
Command: npx skills add https://github.com/JesusFilm/core --skill review-pr-jesusfilm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manual PR reviews are time-consuming and error-prone. This Skill automates the evaluation of GitHub pull requests against project conventions, helping teams enforce quality, security, and maintainability.

Core Features & Use Cases

Auto-loads project conventions from rules and AGENTS.md files based on changed file paths.
Performs comprehensive checks for correctness, security, design, and maintainability.
Generates actionable inline comments in remote reviews or a consolidated assessment in local mode.

Quick Start

Ask the AI to review a PR by providing its number or URL and specify the mode (remote or local) to load rules and generate feedback.

Frequently Asked Questions about review-pr

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

FAQPage Schema

How do I automate GitHub PR reviews against project conventions?▼

Automated PR reviews apply rules and AGENTS.md files to changed files to evaluate code quality. This process fetches diffs, applies conventions, and posts review findings with inline comments directly to GitHub.

What is the difference between local and remote modes for PR review automation?▼

PR review modes determine how feedback is delivered: remote mode generates actionable inline comments on GitHub, while local mode loads context from rules paths and AGENTS.md to present a consolidated assessment.

How does a rules-aware code review detect project conventions?▼

Rules-aware code reviews auto-load project conventions by reading AGENTS.md files up the directory tree and applying rules paths to changed files. This ensures checks for correctness, security, and design align with existing standards.

Can I check code quality and security locally before opening a GitHub pull request?▼

Yes, local mode allows you to check code quality and security before opening a GitHub pull request. It loads conventions from AGENTS.md and presents a consolidated assessment of maintainability and correctness.

Do I need external dependencies to automate pull request checks?▼

No external dependencies are required to automate pull request checks. The automation loads context directly from rules paths and AGENTS.md files in your repository to perform comprehensive evaluations.