coderabbit

Triage CodeRabbit review comments on GitHub pull requests into actionable categories.

7|15|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/openshift-eng/edge-tooling --skill coderabbit-openshift-eng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coderabbit
Source: https://github.com/openshift-eng/edge-tooling/tree/main/plugins/pr-review/skills/coderabbit
Command: npx skills add https://github.com/openshift-eng/edge-tooling --skill coderabbit-openshift-eng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you turn noisy, automated CodeRabbit review output into a clear set of actionable triage decisions for a GitHub pull request, including optional fixes and replies.

Core Features & Use Cases

  • PR-aware triage: Identifies the target PR from a PR URL, owner/repo#number, a bare PR number resolved via gh, or the current branch.
  • Findings parsing across sources: Extracts actionable items from inline review comments, review-body nitpick sections, and summary/walkthrough actionable findings while skipping walkthrough noise and duplicates.
  • Skeptical vetting and safe actioning: Categorizes each finding as AUTO-APPLY, REVIEW, or DROPPED, and supports batch JSON output when --batch is provided.
  • Context verification: Fetches PR diff and reads full affected files to validate that the proposed change is genuinely correct and safe.
  • User confirmation and structured execution: In interactive mode, you confirm what to apply; the skill then applies edits and posts appropriate replies.

Quick Start

Run the coderabbit skill with your PR identifier (for example, a PR URL or owner/repo#number) to produce a categorized triage table and suggested diffs for the valid findings.

Frequently Asked Questions about coderabbit

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

FAQPage Schema
How do I triage automated CodeRabbit pull request review comments on GitHub?

Triage automated CodeRabbit pull request review comments by parsing inline comments, review-body nitpicks, and summary actionable findings into clear categories. The skill categorizes each finding as AUTO-APPLY, REVIEW, or DROPPED while skipping walkthrough noise and duplicates.

Can I automatically apply suggested fixes from CodeRabbit to my PR diff?

You can automatically apply suggested fixes from CodeRabbit to your PR diff by using the deterministic AUTO-APPLY categorization. The skill fetches the PR diff and reads full affected files to verify that the proposed change is genuinely correct and safe before applying edits.

How do I resolve a GitHub pull request from a bare number or current branch?

Resolve a GitHub pull request from a bare number, current branch, URL, or owner/repo#number format. The skill uses the gh CLI to identify the target PR, then extracts actionable items from the resolved review data.

Does CodeRabbit triage support batch-mode JSON output for automated pipelines?

CodeRabbit triage supports batch-mode JSON output for automated pipelines when you provide the --batch flag. This allows you to process vetted actionable categories programmatically without interactive user confirmation.

What is the best way to handle noisy automated code review findings on a pull request?

Handle noisy automated code review findings on a pull request by applying skeptical vetting and safe actioning. The skill verifies context by fetching the PR diff and reading affected files, categorizing valid findings for application and dropping duplicates or invalid suggestions.

When should I not auto-apply CodeRabbit suggestions to my pull request?

You should not auto-apply CodeRabbit suggestions when the context verification step flags a proposed change as unsafe or incorrect. The skill categorizes these findings as REVIEW, requiring interactive user confirmation before applying edits and posting replies.