An automated AI-driven review tool that identifies bugs, security vulnerabilities, and code smells across multiple programming languages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-code-review-assistant
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 openclaw-code-review-assistant 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 robust tool within the Openclaw Skills ecosystem designed to streamline the software development lifecycle. By leveraging AI-powered analysis, it performs deep inspections of source code to ensure adherence to best practices and high-security standards. It acts as a tireless peer reviewer, providing immediate feedback that helps developers maintain a clean and maintainable codebase.
This skill is particularly valuable for teams looking to reduce the manual overhead of pull request reviews. It supports a wide range of popular languages including Python, JavaScript, Go, and Rust, making it a versatile addition to any polyglot development environment. By integrating seamlessly into existing workflows, it ensures that critical issues like SQL injection or hardcoded credentials never reach production.
Code Review Assistant Use Cases
- Automatically auditing Pull Requests for security vulnerabilities and logic errors.
- Analyzing Git diffs locally before committing code to a shared repository.
- Generating comprehensive complexity and code style reports for legacy codebases.
- Integrating into CI/CD pipelines to enforce quality gates and block unsafe merges.
- Standardizing code review comments across large, distributed engineering teams.
How Code Review Assistant Works
- The assistant ingests source code from local files, Git diffs, or remote Pull Requests via the CLI or CI environment.
- It applies a series of specialized analysis rules tailored to the detected programming language.
- The AI engine scans for security risks, complexity issues, and potential bugs based on its internal knowledge base.
- It generates a detailed report categorizing issues by priority (High, Medium, Suggestion) with specific line-number references.
- Developers use the feedback to refine their code, or the tool signals the CI/CD pipeline to allow or block the build.
Code Review Assistant Setup
To get started with this skill from the Openclaw Skills collection, simply use the integrated CLI. No heavy external dependencies are required as it uses built-in analysis engines.
# Review a specific file
code-review-assistant review path/to/file.js
# Review a specific branch diff
code-review-assistant diff main..feature-branch
# Configure specific rules (e.g., focus on security)
code-review-assistant config --enable security,performance --disable style
Code Review Assistant Data Schema & Taxonomy
The skill organizes findings into a structured report format and respects local project configurations.
| Component | Description |
|---|---|
| Report Format | Markdown (.md) files containing categorized issue tables and code snippets. |
| Exclusion Rules | Uses a .codereviewignore file (standard glob patterns) to skip directories like node_modules. |
| Metadata | Tracks issue categories (Security, Performance, Style) and severity levels. |
| Integration Data | Connects with GitHub/GitLab APIs using repository owner, name, and PR number parameters. |
Code Review Assistant Advanced Features
- Multi-language support covering JavaScript, TypeScript, Python, Go, Rust, Java, and C/C++.
- Full CI/CD integration with GitHub Actions for automated quality gates.
- Customizable severity thresholds to ignore low-priority style issues in favor of critical security patches.
- Automated SQL injection and hardcoded secret detection for enhanced application security.
- Extensible rulesets allowing for enterprise-grade self-hosted deployments and specialized auditing.
SKILL.md
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