An automated code analysis tool that provides detailed review comments, performance optimizations, and security vulnerability detection across multiple programming languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-review-ai
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-review-ai 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 Assistant?
Code Review Assistant is a high-performance utility designed to streamline the peer review process by leveraging automated analysis. As part of the Openclaw Skills ecosystem, it evaluates code structure, style consistency, and architectural patterns to ensure high-quality software delivery.
By integrating this skill into your development workflow, teams can significantly reduce the manual effort required for audits. It goes beyond simple linting by identifying deep-seated performance bottlenecks and potential security flaws, providing developers with actionable insights through comprehensive quality reports.
Code Review Assistant Use Cases
- Automating initial code audits to catch style and logic errors before human review.
- Identifying performance bottlenecks in JavaScript, Python, Go, and Java applications.
- Scanning source code for common security vulnerabilities and exposure risks.
- Generating standardized code quality reports for team lead oversight or documentation.
How Code Review Assistant Works
- The user triggers the tool by specifying a target file or directory within their repository.
- The assistant parses the source code using language-specific analyzers to map the code structure.
- It runs a series of diagnostic checks focusing on performance, security, and best practices.
- The system aggregates findings into a structured review report containing suggestions and optimization tips.
Code Review Assistant Setup
To get started with this skill, ensure you have Node.js installed on your system. Use the following command to run a review on a specific file:
node scripts/review.mjs --file ./src/app.js
Code Review Assistant Data Schema & Taxonomy
The Code Review Assistant organizes its output and configuration using the following structure:
| Data Type | Description |
|---|---|
| Review Report | A detailed breakdown of issues, categorized by severity (Info, Warning, Critical). |
| Performance Metrics | Analysis of computational complexity and resource usage suggestions. |
| Security Flags | Metadata tagging potential vulnerabilities within specific lines of code. |
| Metadata | YAML frontmatter containing skill versioning and runtime requirements. |
Code Review Assistant Advanced Features
- Multi-language support covering JS, Python, Go, and Java ecosystems.
- Seamless integration with Openclaw Skills workflows for automated pipeline triggers.
- Detailed security vulnerability detection and risk assessment mapping.
- Automated generation of actionable optimization suggestions for cleaner, faster code.
SKILL.md
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