A comprehensive quality assessment tool that scans and scores Openclaw Skills for security, functionality, and documentation standards.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-analyzer
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 skill-analyzer 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 Skill Analyzer?
Skill Analyzer is a dedicated quality assurance utility designed to evaluate Openclaw Skills across five critical dimensions. It helps developers ensure that their contributions are robust, secure, and user-friendly by performing a deep analysis of code structure and metadata. As a lightweight, pure Python tool, it integrates seamlessly into development workflows to provide immediate feedback on the health of your Openclaw Skills.
The tool is particularly valuable for maintainers and developers who want to maintain high standards for Openclaw Skills within their ecosystems. By providing weighted scoring and detailed reports, it removes the guesswork from skill evaluation and promotes industry-standard best practices.
Skill Analyzer Use Cases
- Pre-publishing quality checks for newly developed Openclaw Skills.
- Security auditing of third-party Openclaw Skills before local deployment.
- Benchmarking and comparing the performance of multiple Openclaw Skills.
- Identifying missing documentation and metadata in SKILL.md files.
How Skill Analyzer Works
- The user points the analyzer script to the directory containing the target Openclaw Skills.
- The script parses the source code for implementation completeness and security patterns.
- It evaluates the SKILL.md file for proper frontmatter, description clarity, and usage examples.
- A weighted scoring algorithm is applied across five dimensions: Functionality, Security, Usability, Documentation, and Best Practices.
- The tool generates a visual CLI report or a JSON object detailing the final quality score and specific improvement opportunities.
Skill Analyzer Setup
The tool requires Python 3.7 or higher and has no external dependencies. To start analyzing your Openclaw Skills, use the following commands:
# Run a standard analysis on a skill folder
python3 scripts/analyzer.py --path /path/to/skill
# Run analysis with detailed verbose logging
python3 analyzer.py --path /path/to/skill --verbose
Skill Analyzer Data Schema & Taxonomy
The analyzer organizes its findings based on the following weighted taxonomy for Openclaw Skills:
| Analysis Dimension | Weight | Key Metrics |
|---|---|---|
| Functionality | 25% | Feature completeness, edge cases, error handling |
| Security | 25% | Input validation, credential safety, safe execution |
| Usability | 20% | Documentation clarity, installation complexity, examples |
| Documentation | 15% | SKILL.md frontmatter and usage tag coverage |
| Best Practices | 15% | Code organization and configuration management |
Results can be exported to a report.json file for automated processing.
Skill Analyzer Advanced Features
- Comparative Analysis: Side-by-side comparison of two different Openclaw Skills to identify performance gaps.
- JSON Output: Support for generating machine-readable reports for CI/CD integration.
- Zero-Dependency Execution: Built entirely on the Python standard library for maximum portability.
- Risk Assessment: Automated identification of high-risk code patterns or hardcoded secrets.
SKILL.md
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METADATA
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