Code Reviewer is an AI-powered utility that analyzes staged git changes to identify bugs, security vulnerabilities, and code smells before submission.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-reviewer
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 code-reviewer 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 Reviewer?
Code Reviewer provides an automated layer of quality control for developers by leveraging artificial intelligence to inspect code diffs. It integrates seamlessly into the standard development workflow by focusing specifically on staged git changes, ensuring that only high-quality, bug-free code reaches the pull request stage. As a vital component of the Openclaw Skills ecosystem, this tool helps developers maintain professional standards and catch logic errors without the need for a manual peer review.
By providing color-coded feedback, Code Reviewer categorizes findings into critical issues, warnings, suggestions, and positive reinforcement for clean code. This allows developers to prioritize fixes based on severity. Whether you are working on a complex refactor or a simple bug fix, incorporating this into your Openclaw Skills repertoire ensures your contributions are robust and secure.
Code Reviewer Use Cases
- Perform a final sanity check immediately before opening a pull request.
- Serve as a virtual peer reviewer for solo developers or small teams without dedicated QA resources.
- Validate logic during late-night coding sessions when fatigue may lead to overlooked anti-patterns.
- Conduct quick security audits on tricky refactors or new library integrations.
How Code Reviewer Works
- The developer stages their file changes using the standard git add command.
- The Code Reviewer tool is invoked via the command line, which triggers the analysis of the current git index.
- The AI engine parses the diffs, comparing the changes against known security vulnerabilities and coding best practices.
- A detailed report is generated in the terminal, featuring color-coded categories and concrete suggestions for code improvement.
Code Reviewer Setup
To start using this tool as part of your Openclaw Skills toolkit, ensure you have Node.js installed and follow these steps:
# Stage your changes first
git add -A
# Run the AI-powered review
npx ai-code-review
Code Reviewer Data Schema & Taxonomy
The skill processes git metadata and source code diffs to produce structured diagnostic feedback. The data organization is outlined below:
| Data Point | Type | Description |
|---|---|---|
| Staged Diffs | Input | The raw code changes currently in the git staging area. |
| Severity Labels | Metadata | Tags assigned to feedback: Critical, Warning, Suggestion, or Good. |
| Logic Analysis | String | AI-generated explanations of potential bugs or anti-patterns found. |
| Remediation | Markdown | Actionable code snippets suggested to resolve identified issues. |
Code Reviewer Advanced Features
- Zero-configuration integration for any local git repository using Openclaw Skills.
- Real-time bug and logic error identification using advanced large language models.
- Security-first analysis that flags potential vulnerabilities before they are pushed to remote branches.
- High-visibility CLI output with color coding for rapid assessment of code health.
SKILL.md
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