Skill Analyzer - Comprehensive Skill Analysis Tool

Overview

Skill Analyzer evaluates OpenClaw skills across 5 dimensions to provide a comprehensive quality assessment. It helps identify strengths, weaknesses, and improvement opportunities. Built with pure Python - no external dependencies required.

Analysis Dimensions (5 total)

1. Functionality Analysis (25%)

• - Core features implementation completeness
• Edge cases handling
• Error handling and robustness
• Command-line interface quality

2. Security Analysis (25%)

• - Input validation
• Credential handling
• No hardcoded secrets
• Safe execution patterns

3. Usability Analysis (20%)

• - User experience quality
• Documentation clarity
• Installation complexity
• Example availability

4. Documentation Quality (15%)

• - SKILL.md completeness
• Frontmatter (name, description)
• Usage examples
• Tag coverage

5. Best Practices (15%)

• - Code structure and organization
• Error handling patterns
• Configuration management

Usage

Requirements

• - Python 3.7+ (no external dependencies - uses only stdlib)

Analyze a Skill

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Dimensions Scoring

Each dimension is scored 0-10:

• - 8-10: Excellent
• 6-7: Good
• 4-5: Average
• 2-3: Below Average
• 0-1: Poor/Needs Improvement

Example Output

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Notes

• - Run from any directory containing skills
• Pure Python - no pip install needed
• Safe to run on any skill
• Does not modify analyzed skills