Skill Quality Checker for Openclaw

An automated diagnostic tool designed to evaluate the quality and performance of installed skills based on five key technical dimensions.

shaozhengmao
v1.0.0
Mar 12, 2026
0
952
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install skill-quality-checker

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 skill-quality-checker 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 Checker?

Skill Quality Checker is a specialized auditing utility for the Openclaw ecosystem. It provides developers with an automated way to assess the reliability and efficiency of their custom skills. By performing heuristic static analysis, the tool ensures that every skill meets a high standard of professional quality before deployment or sharing.

This tool is essential for maintaining a high-performance library of Openclaw Skills, helping users identify technical debt, missing documentation, or inefficient token usage that could hinder the AI agent's performance. It serves as a bridge between development and production-ready quality assurance.

Skill Quality Checker Use Cases

  • Auditing newly developed Openclaw Skills for compliance with implementation standards.
  • Generating comprehensive quality reports in Markdown or JSON for team reviews.
  • Identifying performance bottlenecks and inefficient token usage in existing agent workflows.
  • Batch scanning local skill directories to ensure global maintenance of the skill library.

How Skill Quality Checker Works

  1. The user executes the check_quality.py script pointing to a specific skill or a global skill directory.
  2. The script performs a static analysis of the skill files, evaluating them against five core technical metrics.
  3. A scoring algorithm calculates a total value out of 100 based on defined weights for matching, completeness, and efficiency.
  4. The tool generates a detailed report, including a star rating and actionable improvement suggestions.
  5. Developers use the outputted feedback to refine the skill's description, error handling, or logic.

Skill Quality Checker Setup

The Skill Quality Checker relies exclusively on the Python standard library, ensuring zero-dependency installation within your environment.

# Navigate to your skill directory and run the scanner
python3 {SKILL_DIR}/scripts/check_quality.py --scan-dir /root/.openclaw/skills/

# To scan a specific skill instead of the entire directory
python3 {SKILL_DIR}/scripts/check_quality.py --skill /root/.openclaw/skills/target-skill/

Skill Quality Checker Data Schema & Taxonomy

The tool evaluates skills across five specific dimensions, each contributing 20 points toward a total score of 100:

Dimension Weight Key Metrics
Problem-Solution Fit 20 Task alignment and implementation strategy accuracy
Completeness 20 File integrity, formatting standards, and absence of TODOs
Fault Tolerance 20 Error handling and fallback mechanism robustness
Description Precision 20 Trigger word coverage, length optimization, and specificity
Token Efficiency 20 File size management and progressive disclosure logic

Rating Tiers:

  • 5 Stars: 90+ (Excellent)
  • 4 Stars: 75-89 (Good)
  • 3 Stars: 60-74 (Acceptable)
  • 2 Stars: <60 (Needs Improvement)

Skill Quality Checker Advanced Features

  • Multi-format output support for both human-readable Markdown and machine-readable JSON.
  • Heuristic static analysis that runs without requiring external API calls or LLM tokens.
  • Granular directory scanning allowing for both individual skill audits and full library sweeps.
  • Detailed scoring criteria integration via reference documents for deep-dive technical alignment.

SKILL.md


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