A multi-tiered automated code review system that evaluates code quality, security, and architectural best practices.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rey-code-review
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rey-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 Rey Code Review?
Rey Code Review is a sophisticated addition to the Openclaw Skills library, designed to provide developers with automated, high-fidelity feedback on their source code. Whether you are performing a quick sanity check or a deep architectural audit, this skill scales its analysis depth to match the complexity of your changes. It serves as a tireless digital peer reviewer that ensures every pull request meets rigorous standards for correctness and maintainability.
By integrating this skill into your workflow, you leverage a structured framework that examines code through five critical lenses: correctness, readability, maintainability, security, and performance. As part of the Openclaw Skills suite, it bridges the gap between manual reviews and automated linting, providing human-like insights with machine speed.
Rey Code Review Use Cases
- Rapidly validating small patches for syntax errors and obvious bugs before committing.
- Conducting standard logic and error-handling reviews for mid-sized feature updates.
- Performing deep-dive architectural and security audits for mission-critical system changes.
- Standardizing code style and documentation across distributed teams using Openclaw Skills.
- Identifying potential performance bottlenecks and N+1 query issues during the development phase.
How Rey Code Review Works
- The user provides code snippets or file paths to the AI agent for analysis.
- The skill determines the appropriate review level—Quick, Standard, or Full—based on the number of files or specific user instructions.
- The engine scans the code against defined checkpoints including logic flow, type safety, and security vulnerabilities.
- Issues are categorized by severity levels: CRITICAL, MAJOR, MINOR, or NIT.
- A comprehensive report is generated, providing a verdict (APPROVED/NEEDS_CHANGES) and actionable suggestions for every finding.
Rey Code Review Setup
To begin using Rey Code Review within your Openclaw Skills environment, follow these steps:
# Add the skill to your agent configuration
openclaw install rey-code-review
# Verify the installation
openclaw list skills
Once installed, you can trigger reviews by asking your agent to "Review this code" or "Perform a full review on the latest changes."
Rey Code Review Data Schema & Taxonomy
The skill produces a structured JSON or Markdown report containing the following taxonomy:
| Key | Description |
|---|---|
| summary | Contains file counts and a breakdown of findings by severity. |
| verdict | The final assessment: APPROVED, NEEDS_CHANGES, or BLOCKED. |
| findings | An array of objects including file name, line number, issue description, and fix suggestion. |
| positive | A list of well-implemented patterns identified during the review. |
| integration_metadata | Data passed to secondary Openclaw Skills for further debugging or security analysis. |
Rey Code Review Advanced Features
- Multi-agent collaboration: Automatically triggers
security-reviewfor sensitive code paths. - Debugging integration: Links with
systematic-debugto provide root cause analysis for identified bugs. - Quality metrics: Feeds data into
quality-checkerto track technical debt and code health trends over time. - Tiered analysis: Optimized processing times ranging from 30 seconds for small fixes to 20 minutes for full system audits.
- Custom severity mapping: Tailor the CRITICAL and MAJOR labels to match your team's specific risk tolerance.
SKILL.md
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