An intelligent AI agent that automates code reviews to identify bugs, security vulnerabilities, and performance bottlenecks across various programming languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-review-assistant-zhuyu28
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-assistant-zhuyu28 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?
The Code Review Assistant is a robust AI-driven tool designed to enhance the software development lifecycle by providing deep, contextual analysis of source code. As a key component of the Openclaw Skills ecosystem, it moves beyond basic linting to provide meaningful insights into code architecture, potential security flaws, and optimization opportunities. By integrating this skill into your workflow, you can ensure that every pull request meets high standards of quality and maintainability before it reaches production.
This assistant is built to be language-agnostic, automatically detecting the environment and applying relevant best practices. Whether you are a solo developer looking for a second pair of eyes or a lead engineer managing a large team, this skill streamlines the review process, reduces technical debt, and accelerates delivery timelines within the Openclaw Skills framework.
Code Review Assistant Use Cases
- Automating the review of pull requests to catch bugs early.
- Performing security audits on legacy codebases to find hidden vulnerabilities.
- Enforcing consistent coding standards and style across distributed engineering teams.
- Identifying performance regressions and suggesting algorithmic optimizations.
- Providing educational feedback to junior developers during the coding process.
How Code Review Assistant Works
- The skill ingests provided code snippets, individual files, or entire directories for analysis.
- It automatically identifies the programming languages and frameworks used in the project.
- The AI agent applies a comprehensive suite of rules covering security, performance, logic, and style.
- It generates a detailed report highlighting specific issues with actionable fix recommendations.
- The findings can be integrated directly into version control systems or viewed via the command line.
Code Review Assistant Setup
To get started with the Code Review Assistant in your local environment using Openclaw Skills, use the following commands:
# Install the code review assistant skill
openclaw install code-review-assistant-zhuyu28
# Run a review on your current directory
openclaw run code-review-assistant-zhuyu28 --path ./src
Code Review Assistant Data Schema & Taxonomy
The assistant structures its review data to be easily readable by both humans and machines. The following table describes the primary data points generated:
| Attribute | Type | Description |
|---|---|---|
issue_type |
String | Categorization of the finding (e.g., Security, Bug, Style) |
severity |
String | Impact level: Critical, High, Medium, or Low |
location |
Object | File path and specific line numbers involved |
description |
String | Detailed explanation of the problem detected |
fix_suggestion |
String | Recommended code change to resolve the issue |
Code Review Assistant Advanced Features
- Automatic language detection supporting over 20+ programming languages.
- Deep integration with version control systems for automated PR commenting.
- Customizable sensitivity levels to match your project's specific quality gates.
- Support for multi-agent workflows where this skill feeds data into other Openclaw Skills.
- Real-time performance profiling suggestions based on static analysis.
SKILL.md
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