How do I install the Skill Analyzer skill?

Run npx skillmds@latest add dvcrn/skill-analyzer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Skill Analyzer safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Skill Analyzer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Skill Analyzer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Skill Analyzer?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Skill Analyzer by dvcrn — Agent Skill

Name: Skill Analyzer
Rating: 4.5 (4 reviews)
Author: dvcrn

Skill Analyzer

Quality scanner for OpenClaw skills. Evaluates functionality, security, usability, documentation, and best practices with weighted scoring. Use when: (1) Analyzing skill quality before publishing, (2) Finding improvement opportunities, (3) Security review of third-party skills. Pure Python - no dependencies.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

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

# Analyze a local skill
python3 scripts/analyzer.py --path /path/to/skill

# Analyze with detailed output
python3 analyzer.py --path /path/to/skill --verbose

# Output to JSON
python3 analyzer.py --path /path/to/skill --output report.json

# Compare two skills
python3 analyzer.py --compare skill1 skill2

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

==========================================
Skill Analysis Report: example-skill
==========================================

Overall Score: 7.5/10

Dimension Scores:
  Functionality:    8/10 ████████░░
  Security:         9/10 █████████░
  Usability:        7/10 ███████░░░
  Documentation:    6/10 ██████░░░░
  Best Practices:   7/10 ███████░░░

Strengths:
  ✓ Good security practices
  ✓ Clean code structure
  ✓ Proper error handling

Risk Level: LOW

Notes

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

---name: skill-analyzerdescription: Quality scanner for OpenClaw skills. Evaluates functionality, security, usability, documentation, and best practices with weighted scoring. Use when: (1) Analyzing skill quality before publishing, (2) Finding improvement opportunities, (3) Security review of third-party skills. Pure Python - no dependencies.---# Skill Analyzer - Comprehensive Skill Analysis Tool## OverviewSkill 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```bash# Analyze a local skillpython3 scripts/analyzer.py --path /path/to/skill# Analyze with detailed outputpython3 analyzer.py --path /path/to/skill --verbose# Output to JSONpython3 analyzer.py --path /path/to/skill --output report.json# Compare two skillspython3 analyzer.py --compare skill1 skill2```### Dimensions ScoringEach 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```==========================================Skill Analysis Report: example-skill==========================================Overall Score: 7.5/10Dimension Scores: Functionality: 8/10 ████████░░ Security: 9/10 █████████░ Usability: 7/10 ███████░░░ Documentation: 6/10 ██████░░░░ Best Practices: 7/10 ███████░░░Strengths: ✓ Good security practices ✓ Clean code structure ✓ Proper error handlingRisk Level: LOW```## Notes- Run from any directory containing skills- Pure Python - no pip install needed- Safe to run on any skill- Does not modify analyzed skills

Frequently asked questions