An advanced AI-driven code evaluation skill that performs deep architectural, quality, and security reviews to deliver structured improvement roadmaps.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install code-analysis
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-analysis 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 Analysis?
The Code Analysis skill is a comprehensive diagnostic engine designed to perform multi-dimensional technical reviews of your repositories. As part of the Openclaw Skills ecosystem, it allows developer agents to run thorough evaluations of code quality, security vulnerabilities, performance bottlenecks, and architectural integrity without leaving their workflow.
By leveraging this tool within the Openclaw Skills framework, teams can automate deep-dive code reviews, identify critical tech debt, and generate clear, actionable optimization roadmaps. It helps maintain high engineering standards by translating complex codebases into structured insights and visual dependency graphs.
Code Analysis Use Cases
- When developers require comprehensive code reviews and quality assessments before merging pull requests.
- Identifying security vulnerabilities, input validation weaknesses, and authentication flaws in codebases.
- Assessing technical debt, cyclomatic complexity, and test coverage across large directories.
- Optimizing application performance by detecting memory bottlenecks and database query issues.
- Onboarding to a new codebase where mapping architectural patterns via a knowledge graph is necessary.
How Code Analysis Works
- Parse the targeted files or source directories provided by the user using Openclaw Skills integrations.
- Identify code structures, complexity metrics, and dependencies based on selected analysis dimensions.
- Evaluate security practices, design pattern adherence (SOLID principles), and potential performance bottlenecks.
- Generate a detailed, structured Code Analysis Report containing risk assessments and an executable improvement roadmap.
- Provide refactoring code examples highlighting before-and-after improvements for identified hot spots.
Code Analysis Setup
To add this capability to your AI environment, configure your agent system to support Openclaw Skills and register the code-analysis package.
# Install the agent CLI supporting Openclaw Skills
npm install -g @openclaw/cli
# Register the code-analysis skill
openclaw install skill-code-analysis
Configure your environment or configuration file to specify the target code path parameters:
{
"skills": ["code-analysis"],
"code-analysis": {
"default_depth": "deep",
"dimensions": ["quality", "security", "performance"]
}
}
Code Analysis Data Schema & Taxonomy
The skill processes repository inputs and produces a structured JSON metadata report along with Markdown document artifacts.
| Artifact | Type | Description |
|---|---|---|
code-analysis-report.md |
Markdown File | The primary human-readable report summarizing findings, risks, and roadmap. |
dependencies-graph.json |
JSON | A structured map of component relationships, coupling metrics, and module boundaries. |
The generated code-analysis-report.md follows this structural taxonomy:
- Executive Summary: Overall assessment overview (1-2 paragraphs).
- Detailed Findings: Bulleted observations categorized by selected dimensions (e.g., Quality, Performance, Security).
- Risk Assessment: A prioritization table classifying impact levels (High, Medium, Low).
- Improvement Roadmap: Phased action items (Immediate, Short-term, Long-term).
- Code Examples: Before-and-after optimization snippets.
Code Analysis Advanced Features
- Multi-dimensional profiling dynamically selects and toggles analysis targets based on developer instructions.
- Automatic architecture mapping creates a dependency knowledge graph to discover design pattern violations.
- Prioritized risk-assessment mapping calculates immediate vs long-term ROI on code refactoring.
- Native support for multiple programming languages within the Openclaw Skills architecture.
- Automated code generation of optimized snippets tailored to fix identified architectural flaws.
SKILL.md
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