🧐
QualityPython

GitHub Pull Request Review

by feiskyer

GitHub Pull Request Review is a Quality skill for Claude Code, published by feiskyer in codex-settings.

237 stars33 forkson feiskyer/codex-settingsAdded 2026/09/03Repository updated 2026/08/13
agent-skillsagentic-aiagentsaiai-codingcodexcodex-clicodex-profilescodex-skillscopilotlitellmmcpopenaivibe-coding
Install in seconds
Install GitHub Pull Request Review
Copy GitHub Pull Request Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/feiskyer/codex-settings/tree/main/skills/github-review-pr ~/.claude/skills/github-review-pr

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/feiskyer/codex-settings.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/github-review-pr/SKILL.md in feiskyer/codex-settings
Installs to
~/.claude/skills/github-review-pr
Collection
One of 11 skills cataloged from this repository
Category
Quality β€” 1478 skills

What GitHub Pull Request Review does

GitHub Pull Request Review analyzes a GitHub pull request with evidence-backed checks, multiple review angles, and false-positive filtering. Use it when reviewing a PR by number or URL and you want a local findings report or an explicitly authorized published review.

GitHub Pull Request Review is cataloged under Quality on DirSkills. GitHub Pull Request Review comes from a repository tagged agent-skills, agentic-ai, agents, ai and ai-coding.

Documentation

README

Review GitHub Pull Request

A structured workflow for thorough code reviews on GitHub PRs. Use parallel specialized reviewers when the current Codex surface exposes subagents; otherwise perform the same review angles sequentially. Keep adversarial verification, separate confidence and severity scoring, and false-positive filtering in either mode.

Use gh for all GitHub interactions. Treat the review as static analysis unless the user requests runtime validation or a finding needs a focused local check. Do not assume CI has passed without verifying its status.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about GitHub Pull Request Review

  • What else does feiskyer publish alongside GitHub Pull Request Review?

    GitHub Pull Request Review is one of 11 skills that DirSkills catalogs from feiskyer/codex-settings, the repository it ships in. Its siblings there include Brainstorming, Claude Code Headless Mode and Deep Research. Each one is a separate skill with its own page in this directory, installs the same way GitHub Pull Request Review does, and is maintained by feiskyer in that same repository. The rest of the collection is listed on the feiskyer/codex-settings page.

  • How does GitHub Pull Request Review compare to other Quality skills?

    GitHub Pull Request Review ranks #1352 by stars among the 1478 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of GitHub Pull Request Review against them. Open each page to compare what they document and how they install.

More from feiskyer/codex-settings

GitHub Pull Request Review is one of 11 skills cataloged on DirSkills from feiskyer/codex-settings.

See all 11 skills β†’
🧠
7h ago

Brainstorming

Brainstorming helps turn a user’s idea into a design and spec before implementation. It is used for new features, components, or systems when choices, constraints, and success criteria need to be clarified first.
AI Engineering
23733
πŸ€–
7h ago

Claude Code Headless Mode

Claude Code Headless Mode delegates work to the Claude Code CLI for non-interactive runs, automation scripts, CI jobs, and resumable sessions. Use it when you want Claude to execute a task through `claude -p` instead of solving it inline.
Automation
23733
πŸ”Ž
7h ago

Deep Research

Deep Research orchestrates a multi-agent workflow that splits a research goal into parallel sub-tasks, gathers evidence with Codex CLI subprocesses, and merges the results into a verified report. Use it for systematic web or document research, competitor analysis, and long-form evidence synthesis.
AI Engineering
23733
πŸ–ΌοΈ
7h ago

GPT Image

GPT Image generates or edits images with OpenAI GPT Image models from prompts and input images. Use it when you want to create artwork, logos, or modified images with gpt-image-2 or related models.
AI Engineering
23733
πŸ›
7h ago

GitHub Issue Fix

GitHub Issue Fix analyzes a reported issue in the current repository, implements the smallest appropriate change, and verifies it with targeted tests. Use it when you need help investigating or fixing an issue by number or URL.
Quality
23733
🧐
7h ago

Grill Me

Grill Me runs one-question-at-a-time challenge sessions to pressure-test a proposal or design. It also maintains the domain glossary, context notes, and ADRs when decisions are settled.
Quality
23733