Skylv Skill Quality Assurance

v1.0.0

Analyzes and scores OpenClaw skill quality across 5 dimensions. Detects missing frontmatter, weak descriptions, poor examples, and actionable improvement rec...

0· 87· 1 versions· 0 current· 1 all-time· Updated 10h ago· MIT-0

Install

openclaw skills install skylv-skill-quality-assurance

Skill Quality Assurance

Automatically analyze and score OpenClaw skill documentation quality. Identifies critical issues and provides actionable fixes.

Overview

This skill runs a multi-dimensional quality analysis on any OpenClaw skill's SKILL.md file, scoring it across:

  • Clarity — Structure, headings, sentence length
  • Completeness — Required fields, install/usage sections
  • Actionability — Step-by-step guides, commands
  • Discoverability — Keywords, description, categories
  • Examples — Code examples, before/after, use cases

Usage

Analyze a single skill

Analyze the skill at: C:\path\to\skills\my-skill

Analyze all skills in a directory

Run: node engine.js C:\path\to\skills

Interpretation

ScoreGradeMeaning
8-10AProduction-ready
6-7BNeeds minor improvements
4-5CNeeds significant work
<4FRewrite recommended

Scoring Dimensions

1. Clarity (20%)

Checks for: headings hierarchy, sentence length, filler words, markdown formatting

2. Completeness (20%)

Checks for: name, description, keywords, install section, usage section

3. Actionability (25%)

Checks for: numbered steps, runnable commands, configuration guides

4. Discoverability (15%)

Checks for: keywords (5+), description length (50+ chars), category/tags

5. Examples (20%)

Checks for: code blocks (3+), before/after cases, use case descriptions

Quality Thresholds

For ClawHub publication:

  • Overall score ≥ 7.0 required
  • No dimension below 5.0
  • Must have keywords field
  • Must have description ≥ 50 chars

Auto-Fix

The companion script fix_skill_md.cjs automatically fixes:

  • Missing description field
  • Missing keywords field
  • Missing Install section
  • Missing Usage section
node fix_skill_md.cjs

Example Output

# Skill Quality Report

Analyzed: 34 skills

## Overall Rankings
 1. ✅ skylv-browser-automation-agent   9.4/10
 2. ✅ skylv-openclaw-evomap-connector   9.3/10

Average score: 8.1/10
Grade A (7+): 29
Grade B (5-6): 5
Grade C (<5): 0

MIT License © SKY-lv

Version tags

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