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Skill

/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

From plugin
ralph-orchestrator
3.1k17 skills3 agents
Install
$ npx -y skills add mikeyobrien/ralph-orchestrator --skill review-pr --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/review-pr

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

review-pr.SKILL.md
name: review-pr
description: 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
metadata:
  internal: true

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

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:

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

| Situation | Action | |-----------|--------| | Ralph exits non-zero | Display error output. Suggest re-running with `RALPH_DIAGNOSTICS=1` | | Report file missing | Display intermediate files that do exist (scope, verification, findings) | | PR argument missing | Ask the user for the PR number | | PR argument unparseable | Ask 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
Read more
Ships withralph-orchestrator

A hat-based orchestration framework that keeps AI agents in a loop until the task is done. "Me fail English? That's unpossible!" - Ralph Wiggum

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