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Coderabbit

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roedyrustam
coderabbit

AI automated code review, PR summarization, and developer feedback / Review kode otomatis AI, ringkasan PR, dan umpan balik developer.

Overview

Publisherroedyrustam
Repositoryvibes-plug
Skill namecoderabbit
Stars
117
Forks
27
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 roedyrustam on GitHub. Read the source before you install it.

Installation

Install the Coderabbit 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/roedyrustam/vibes-plug/tree/main/skills/coderabbit
  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/roedyrustam/vibes-plug.git /tmp/vibes-plug
mkdir -p .claude/skills
cp -r /tmp/vibes-plug/skills/coderabbit .claude/skills/coderabbit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coderabbit 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 Coderabbit 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 Coderabbit 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.

CodeRabbit (2026 Edition — CodeRabbit 2.x)

English | Bahasa Indonesia


English

Orchestration & Integration

  • Anti-Slop & Autonomous Review: anti-slop, ai-code-review-autonomous, zero-tech-debt-auditor, agentic-coding-workflow-expert
  • TDD & Testing Automation: autonomous-tdd-debugger, e2e-testing-expert, property-mutation-testing-expert
  • CI/CD Quality Gates: ci-cd-devops-architect, github-actions-expert
  • Architecture & Linters: scalability-clean-code, biome-linter-formatter-expert
  • Lifecycle & Governance: brainstorming, zero-to-prod-orchestrator, session-memory-manager

Description

Expert guide for configuring and leveraging CodeRabbit 2.x — AI-powered automated code review, pull request summarization, and interactive developer feedback. Covers configuration, custom review rules, integration with CI/CD, and agentic review mode.

Trigger Conditions

  • Setting up CodeRabbit on a GitHub or GitLab repository.
  • Configuring custom review rules for your tech stack.
  • Using CodeRabbit's agentic mode for deep architectural reviews.
  • Integrating CodeRabbit feedback into CI/CD quality gates.
  • Writing CodeRabbit-compatible custom instructions in .coderabbit.yaml.

CodeRabbit 2.x Key Features

FeatureDescription
PR SummaryAuto-generates structured PR description with walkthrough
Line-by-line ReviewInline comments with specific fix suggestions
Agentic ReviewDeep analysis spanning multiple files for architectural issues
Learnable RulesLearns from review dismissals and approvals over time
CI IntegrationBlocks PR merge if critical issues found
Chat ModeAsk CodeRabbit questions about the PR in review thread

Configuration (.coderabbit.yaml)

yaml
# .coderabbit.yaml — place in repository root
version: "2"
language: "en-US"
tone_instructions: "Be concise and direct. Prioritize security and performance issues."

reviews:
  auto_review:
    enabled: true
    drafts: false           # Don't review draft PRs
    base_branches: ["main", "develop"]

  profile: "chill"          # assertive | chill | default
  request_changes_workflow: false
  high_level_summary: true
  commit_message_instructions: "Use Conventional Commits format: feat/fix/chore/docs"

  # Ignore paths from review
  path_filters:
    - "!**/*.lock"
    - "!**/migrations/**"
    - "!**/generated/**"
    - "!**/__snapshots__/**"

  # Stack-specific review instructions
  path_instructions:
    - path: "apps/api/**"
      instructions: |
        - Check for missing input validation (Zod schemas required on all handlers)
        - Flag any database queries without proper RLS consideration
        - Ensure all async functions have try/catch or error boundaries
        - Check for N+1 query patterns (missing .include() or DataLoader usage)
    - path: "apps/web/**"
      instructions: |
        - Check for missing `key` props in .map() renders
        - Flag `useEffect` without proper cleanup functions
        - Check for missing `alt` attributes on images
        - Verify Server Actions are properly validated with Zod
    - path: "apps/admin/**"
      instructions: |
        - All admin routes must verify isSuperAdmin === true
        - Flag any direct DB access without service role client
        - Check for proper audit logging on destructive operations

  # Custom review rules for the entire codebase
  instructions: |
    Review with these priorities:
    1. SECURITY: SQL injection, XSS, auth bypass, exposed secrets
    2. CORRECTNESS: Logic bugs, off-by-one errors, type unsafety
    3. PERFORMANCE: N+1 queries, unnecessary re-renders, bundle size
    4. MAINTAINABILITY: Code duplication, naming, SOLID violations
    5. STYLE: Only comment if it's a significant clarity issue
    6. SOVEREIGN ANTI-SLOP: Flag placeholders (// TODO, // ...), mock data in prod, syntax comments, and silent error suppression

# PR summary format
summary:
  auto_title_placeholder: "🤖 AI Title"
  description: |-
    ## Summary
    <!-- Concise description of what changed -->
    
    ## Changes
    <!-- Structured list by area -->
    
    ## Testing
    <!-- What was tested -->

# Enable chat for interactive Q&A
chat:
  auto_reply: true

Agentic Review Mode (CodeRabbit 2.x)

CodeRabbit 2.x introduces agentic review — deep analysis that can read multiple files, run tools, and understand architectural context:

# Trigger agentic review in PR comment:
@coderabbitai review

# Ask specific questions:
@coderabbitai What is the security impact of changes in apps/api/src/routes/users.ts?
@coderabbitai Can you generate a test for the createWorkspace function?
@coderabbitai Is there a N+1 query issue in this PR?
@coderabbitai Summarize the architecture changes in this PR

CI/CD Integration (GitHub Actions)

yaml
# .github/workflows/pr-quality.yml
name: PR Quality Gate

on: [pull_request]

jobs:
  coderabbit-review:
    runs-on: ubuntu-latest
    steps:
      - name: Wait for CodeRabbit Review
        uses: coderabbit-ai/wait-for-review@v1
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          min-approvals: 1
          block-on-critical: true  # Block merge if critical issues found

CodeRabbit vs Manual Review — Best Practices

  • CodeRabbit first: Let it run before human reviewers — catches the obvious issues.
  • Human focus: After CodeRabbit, humans focus on business logic, architecture intent, and product decisions.
  • Teach it: Dismiss false positives with an explanation — CodeRabbit learns your patterns.
  • Custom instructions: Invest time in path_instructions for your specific stack — dramatically improves relevance.

Sovereign Execution, Token Efficiency & Invariants

DimensionSovereign Mandate & Deterministic Contract
Frontier Model CascadeHigh Fast / High (Grok 4.7 High Fast, Claude Sonnet 5.5 High, Gemini 4 Pro)
Availability FallbackGemini 4 Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6; Grok 4.7 -> Grok 4.6 High Fast (Zero unhandled missing-model errors)
KV-Cache & Token ProtocolPin static instructions & schemas at prompt prefix (kv-cache-prefix-optimizer); pass surgical CONTEXT_MAP.md slices (<250 tokens/call) during Swarm Fan-Out
SaaT CLI & MCP DispatchCLI: vibes skill exec coderabbit <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_critic_validate, vibes_self_heal, vibes_eval_sandbox, vibes_verify_invariants
NFR & Anti-Slop InvariantsZero OWASP Top 10 vectors, 0 hardcoded secrets, >= 90% branch coverage on domain logic, 0 Anti-Slop violations; 100% complete zero-placeholder output verified via node scripts/check-anti-slop.js --strict


Bahasa Indonesia

Integrasi Orkestrasi

  • Anti-Slop & Review Otonom: anti-slop, ai-code-review-autonomous, zero-tech-debt-auditor
  • TDD & Otomasi Pengujian: autonomous-tdd-debugger, e2e-testing-expert, property-mutation-testing-expert
  • Gerbang Kualitas CI/CD: ci-cd-devops-architect, github-actions-expert
  • Arsitektur & Linter: scalability-clean-code, biome-linter-formatter-expert
  • Siklus Hidup & Tata Kelola: brainstorming, zero-to-prod-orchestrator, session-memory-manager

Deskripsi

Panduan ahli untuk mengonfigurasi dan memanfaatkan CodeRabbit 2.x — review kode otomatis bertenaga AI, ringkasan pull request, dan umpan balik developer interaktif. Mencakup konfigurasi, aturan review kustom, integrasi dengan CI/CD, dan mode review agentik.

Kondisi Pemicu

  • Menyiapkan CodeRabbit di repositori GitHub atau GitLab.
  • Mengonfigurasi aturan review kustom untuk tech stack Anda.
  • Menggunakan mode agentik CodeRabbit untuk review arsitektur mendalam.
  • Mengintegrasikan umpan balik CodeRabbit ke dalam quality gate CI/CD.
  • Menulis instruksi kustom yang kompatibel dengan CodeRabbit di .coderabbit.yaml.

Fitur Utama CodeRabbit 2.x

FiturDeskripsi
Ringkasan PRMembuat deskripsi PR terstruktur otomatis dengan walkthrough
Review Baris per BarisKomentar inline dengan saran perbaikan spesifik
Review AgentikAnalisis mendalam yang mencakup banyak file untuk masalah arsitektur
Aturan yang Dapat DipelajariBelajar dari penolakan dan persetujuan review dari waktu ke waktu
Integrasi CIMemblokir merge PR jika masalah kritis ditemukan
Mode ChatTanyakan pertanyaan kepada CodeRabbit di thread review

Konfigurasi (.coderabbit.yaml)

Tempatkan .coderabbit.yaml di root repositori. Konfigurasi kunci:

  • reviews.profile: assertive (ketat), chill (santai), default.
  • reviews.path_instructions: Instruksi review kustom per direktori — sangat berguna untuk menerapkan standar spesifik stack.
  • reviews.path_filters: Kecualikan file lock, migrasi, kode yang dihasilkan dari review.
  • reviews.instructions: Aturan global untuk seluruh codebase dengan prioritas eksplisit.

Mode Review Agentik (CodeRabbit 2.x)

Mode agentik memungkinkan CodeRabbit membaca banyak file, menjalankan tool, dan memahami konteks arsitektur. Picu dengan @coderabbitai review di komentar PR atau ajukan pertanyaan spesifik tentang dampak keamanan, masalah N+1, atau perubahan arsitektur.

Integrasi CI/CD (GitHub Actions)

Gunakan action coderabbit-ai/wait-for-review@v1 untuk menunggu review selesai dan memblokir merge jika masalah kritis ditemukan.

CodeRabbit vs Review Manual — Best Practices

  • CodeRabbit dulu: Biarkan berjalan sebelum reviewer manusia — menangkap masalah yang jelas.
  • Fokus manusia: Setelah CodeRabbit, manusia fokus pada logika bisnis, niat arsitektur, dan keputusan produk.
  • Ajarkan: Tolak false positive dengan penjelasan — CodeRabbit belajar pola Anda.
  • Instruksi kustom: Investasikan waktu di path_instructions untuk stack spesifik Anda — meningkatkan relevansi secara dramatis.

Matriks Eksekusi Berdaulat, Efisiensi Token & Invarian

DimensiMandat Berdaulat & Kontrak Deterministik
Kaskade Model FrontierHigh Fast / High (Grok 4.7 High Fast, Claude Sonnet 5.5 High, Gemini 4 Pro)
Invarian Fallback KetersediaanGemini 4 Pro -> Gemini 3.8 Flash; Claude Opus 5.5 -> Claude Opus 4.6; Grok 4.7 -> Grok 4.6 High Fast (Bebas gagal saat model belum tersedia/kuota penuh)
Protokol Hemat Token & KV-CacheKunci instruksi & skema statis di prefix awal (kv-cache-prefix-optimizer); kirim potongan CONTEXT_MAP.md (<250 token/panggilan) saat Fan-Out
Eksekusi SaaT CLI & MCPCLI: vibes skill exec coderabbit <audit|eval|verify|generate|blueprint> / MCP: vibes_skill_dispatch, vibes_critic_validate, vibes_self_heal, vibes_eval_sandbox, vibes_verify_invariants
Invarian NFR & Anti-SlopNol celah OWASP Top 10, 0 kredensial hardcoded, cakupan pengujian >= 90% pada logika domain, 0 pelanggaran Anti-Slop; kode 100% tuntas tanpa placeholder diverifikasi melalui node scripts/check-anti-slop.js --strict

Frequently asked questions

What does the Coderabbit AI skill do?

AI automated code review, PR summarization, and developer feedback / Review kode otomatis AI, ringkasan PR, dan umpan balik developer.

Why use Coderabbit on TypingMind?

Because you install it once and use it with any model. Coderabbit 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 Coderabbit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roedyrustam/vibes-plug/tree/main/skills/coderabbit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coderabbit?

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 Coderabbit?

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

Is the Coderabbit AI skill free?

Yes. It is published on GitHub by roedyrustam 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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