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Review Pr

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mikeyobrien
review-pr

Use when asked to review a PR, run a code review loop, or invoke the ralph reviewer against a pull request number or GitHub URL

Overview

Publishermikeyobrien
Repositoryralph-orchestrator
Skill namereview-pr
Stars
3.2K
Forks
299
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mikeyobrien on GitHub. Read the source before you install it.

Installation

Install the Review Pr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mikeyobrien/ralph-orchestrator/tree/main/.claude/skills/review-pr
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mikeyobrien/ralph-orchestrator.git /tmp/ralph-orchestrator
mkdir -p .claude/skills
cp -r /tmp/ralph-orchestrator/.claude/skills/review-pr .claude/skills/review-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Review Pr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Review Pr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Review Pr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Review PR

Run the ralph.reviewer.yml orchestration loop against a pull request. The loop checks out the PR in an isolated worktree, runs tests, reviews the diff, and produces a structured report.

Usage

/review-pr <PR number or URL>

Accepts: 207, #207, or https://github.com/.../pull/207

Execution

1. Parse the PR argument

Extract the PR number from the argument. Strip # prefix or extract from URL path.

2. Run the reviewer loop

bash
ralph run -H ralph.reviewer.yml -p "Review PR #<N>"

Bash tool settings:

  • timeout: 600000 (10 minutes)
  • run_in_background: true

Use TaskOutput with block: true to wait for completion.

3. Display the report

Read and print .ralph/REVIEW-REPORT.md to the conversation.

If the report file doesn't exist (loop failed before the synthesizer hat), check for and display whatever intermediate files exist:

  1. .ralph/review-scope.md — what was scoped
  2. .ralph/review-verification.md — test results
  3. .ralph/review-findings.md — review findings

4. Verify cleanup

Check that the review worktree was removed:

bash
ls -d .worktrees/review-<N> 2>/dev/null
  • If gone: cleanup succeeded, no action needed.
  • If still present: warn the user but do NOT force-remove. Say what's there and let them decide.

Also note the presence of intermediate files (.ralph/review-scope.md, etc.) — they're useful for debugging but the user may want to clean them up later.

Error Handling

SituationAction
Ralph exits non-zeroDisplay error output. Suggest re-running with RALPH_DIAGNOSTICS=1
Report file missingDisplay intermediate files that do exist (scope, verification, findings)
PR argument missingAsk the user for the PR number
PR argument unparseableAsk the user to provide a bare number, #N, or full GitHub URL

What This Skill Does NOT Do

  • Does NOT validate the PR exists (the scoper hat handles that)
  • Does NOT modify any source code (read-only review)
  • Does NOT post comments to GitHub
  • Does NOT own worktree cleanup (verifies only)
  • Does NOT enable diagnostics by default

Frequently asked questions

What does the Review Pr AI skill do?

Use when asked to review a PR, run a code review loop, or invoke the ralph reviewer against a pull request number or GitHub URL

Why use Review Pr on TypingMind?

Because you install it once and use it with any model. Review Pr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Review Pr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mikeyobrien/ralph-orchestrator/tree/main/.claude/skills/review-pr. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Review Pr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Review Pr?

As many as you like. As long as a model supports skills, you can use Review Pr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Review Pr AI skill free?

Yes. It is published on GitHub by mikeyobrien under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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