Skill Quality Assurance for Openclaw

An automated auditing tool that analyzes and scores the documentation quality of Openclaw Skills across five critical technical dimensions.

sky-lv
v1.0.0
May 2, 2026
0
340
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install skylv-skill-validator

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install skylv-skill-validator 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 Quality Assurance?

The Skill Quality Assurance tool is a specialized utility designed to maintain high documentation standards for AI agent capabilities. By evaluating Openclaw Skills against a multi-dimensional rubric, it ensures that every skill is readable, functional, and discoverable. This tool is essential for developers who want to ensure their Openclaw Skills meet professional benchmarks and are ready for integration into complex AI workflows.

At its core, this skill identifies critical documentation gaps such as missing frontmatter, weak descriptions, or lack of actionable examples. By providing a clear grading system from A to F, it helps developers prioritize improvements and ensures that the Openclaw Skills they build provide maximum value to end-users and other agents.

Skill Quality Assurance Use Cases

  • Auditing a local repository of Openclaw Skills to ensure they meet publication standards for ClawHub.
  • Identifying documentation debt in large-scale AI agent projects by scanning multiple skill directories.
  • Automatically correcting common metadata errors and missing sections in Openclaw Skills using the companion fix script.
  • Benchmarking the clarity and actionability of technical guides to improve user onboarding and agent reliability.

How Skill Quality Assurance Works

  1. The user provides a directory path containing one or more Openclaw Skills to the analysis engine.
  2. The tool parses the markdown structure and frontmatter of the SKILL.md files.
  3. The engine performs a multi-dimensional scan, scoring the content on clarity, completeness, actionability, discoverability, and examples.
  4. A detailed Skill Quality Report is generated, providing an overall score, a letter grade, and specific rankings for the analyzed Openclaw Skills.
  5. Developers can then review recommendations or run the auto-fix script to resolve identified issues programmatically.

Skill Quality Assurance Setup

To start analyzing your Openclaw Skills, ensure you have the engine and the optional fix script available in your CLI environment.

To analyze a directory of skills:

node engine.js /path/to/your/skills

To automatically fix common documentation issues in your Openclaw Skills:

node fix_skill_md.cjs

Skill Quality Assurance Data Schema & Taxonomy

The analysis engine organizes data by evaluating the following metadata taxonomy within Openclaw Skills:

Scoring Dimension Weight Evaluation Criteria
Clarity 20% Heading hierarchy, sentence length, and proper markdown formatting.
Completeness 20% Existence of mandatory fields like name, description, and usage.
Actionability 25% Presence of numbered steps and copy-pasteable bash commands.
Discoverability 15% Sufficient keyword density and a description of at least 50 characters.
Examples 20% Inclusion of at least 3 code blocks and clear before/after scenarios.

Skill Quality Assurance Advanced Features

  • Multi-Dimensional Scoring: Provides a granular breakdown of quality rather than a simple pass/fail for Openclaw Skills.
  • Publication Readiness Check: Includes logic to verify if Openclaw Skills meet the score threshold (7.0+) required for ClawHub.
  • Bulk Processing: Capable of analyzing and ranking dozens of skills in a single execution for high-efficiency auditing.
  • Automated Remediation: The companion fix script can programmatically inject missing usage sections or keywords into Openclaw Skills.

SKILL.md


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