Code Review Checklist for Openclaw

A multi-dimensional framework for AI agents to conduct rigorous code reviews covering security, performance, correctness, and maintainability.

wpank
v1.0.0
Feb 10, 2026
19
17k
231

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install code-review

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install code-review using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Code Review Checklist?

The Code Review Checklist is a professional-grade module designed for AI coding agents to perform exhaustive, structured audits of source code. Unlike basic linters, these Openclaw Skills provide a reasoning-based approach that evaluates code across seven critical dimensions, including security vulnerabilities, architectural alignment, and long-term maintainability. It transforms the review process from a random scan into a systematic lifecycle that identifies logic errors and edge cases before they reach production.

By integrating these Openclaw Skills, development teams can enforce high-quality engineering standards automatically. The skill provides a clear vocabulary for feedback through severity levels, ensuring that developers know exactly which issues are merge-blockers and which are simple suggestions for improvement. It is an essential tool for any team looking to scale their review capacity without sacrificing depth or security.

Code Review Checklist Use Cases

  • Automating the initial security and performance audit of complex pull requests.
  • Standardizing review feedback across large teams to eliminate bikeshedding and style-only reviews.
  • Identifying critical vulnerabilities like SQL injection, XSS, and IDOR during the development phase.
  • Verifying test coverage and edge-case handling for mission-critical logic changes.

How Code Review Checklist Works

  1. The agent performs a high-level first pass to understand the PR description, architectural fit, and overall change scope.
  2. A secondary line-by-line pass is executed to verify logic against specific security, performance, and correctness checklists.
  3. The agent conducts a third pass focusing on hardening, specifically looking for race conditions, boundary values, and rollback safety.
  4. Every identified issue is assigned a severity level from Critical to Nitpick to prioritize developer action.
  5. Structured feedback is generated following professional principles, providing specific explanations and concrete code suggestions.

Code Review Checklist Setup

To deploy this module within your agent environment, install the code-review package using the following command to access these Openclaw Skills:

npx clawhub@latest install code-review

Code Review Checklist Data Schema & Taxonomy

Component Description
Review Dimensions A taxonomy of 7 focuses: Security, Performance, Correctness, Maintainability, Testing, Accessibility, and Docs.
Checklists Granular boolean checks for vulnerabilities (CSRF, XSS), performance (N+1 queries, memory leaks), and logic (race conditions).
Severity Schema A prefix-based classification system: [CRITICAL], [MAJOR], [MINOR], and [NIT].
Feedback Loop A set of principles ensuring comments are specific, explanatory, and actionable.

Code Review Checklist Advanced Features

  • Multi-pass reasoning logic that prevents the agent from missing high-level architectural issues while focusing on syntax.
  • Pre-defined anti-pattern detection to flag rubber-stamping or drive-by reviews automatically.
  • Comprehensive security audit patterns built directly into the Openclaw Skills workflow.
  • Integrated guidance for giving constructive, non-emotional feedback to maintain team trust.
  • Support for identifying complex performance bottlenecks like unnecessary re-renders and unindexed database queries.

SKILL.md


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