An automated intelligent agent that analyzes source code to provide detailed review comments, performance tips, and security vulnerability detection.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-code-reviewer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install smart-code-reviewer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Code Review Assistant is a powerful addition to the Openclaw Skills ecosystem designed to streamline the peer review process. By leveraging advanced analysis, it automatically inspects codebases for structural integrity, adherence to best practices, and potential logic flaws across multiple programming languages including JavaScript, Python, Go, and Java.
This skill serves as an automated first line of defense in the development lifecycle, ensuring that performance bottlenecks and security vulnerabilities are identified before they reach production. It generates comprehensive quality reports that help developers maintain high standards while reducing the manual workload of senior engineers.
To integrate this tool into your environment, ensure you have Node.js installed. You can then run the assistant directly using the following command:
# Review a specific file using the assistant
node scripts/review.mjs --file ./src/app.js
As part of the Openclaw Skills suite, ensure your metadata and environment paths are correctly configured to allow the assistant to access your local source files.
The Code Review Assistant organizes its findings into structured reports. The following data points are typically captured during a scan:
| Attribute | Description |
|---|---|
File Path |
The location of the file analyzed within the repository. |
Issue Severity |
Classification of issues (Critical, Warning, Optimization, Info). |
Category |
Type of feedback, such as Security, Performance, or Style. |
Suggestion |
Clear instructions or code snippets for resolving the detected issue. |
Review Report |
A consolidated Markdown or JSON file containing the full audit trail. |
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