A specialized quality assurance tool designed to automatically evaluate and optimize AI skill files against the SKILL-STANDARD-v3.md specification.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lj22503-skill-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lj22503-skill-optimizer 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 Optimizer?
Skill Optimizer is a comprehensive developer tool built to maintain the integrity and performance of the Openclaw Skills ecosystem. It serves as an automated auditor that scans skill metadata, content structure, and file dependencies to ensure every AI agent skill is reliable, safe, and correctly triggered by the system.
By leveraging advanced validation scripts, the tool identifies missing metadata, security risks in tool permissions, and structural gaps in documentation. It provides developers with a clear quality score and actionable suggestions, transforming raw AI skill definitions into high-performance, production-ready assets.
Skill Optimizer Use Cases
- Validating new Openclaw Skills immediately after creation to ensure they follow the v3 standard.
- Verifying modified skills to prevent regression errors or broken file references.
- Performing batch quality assessments across large repositories of AI agent skills.
- Checking compliance for metadata fields like allowed-tools to ensure minimum privilege security standards.
How Skill Optimizer Works
- Metadata Extraction: The tool parses the skill's YAML frontmatter to verify essential fields like name, version, and description triggers.
- Structural Analysis: It scans the Markdown body for mandatory sections including functional descriptions, boundary conditions, and troubleshooting guides.
- File Reference Validation: A dedicated script cross-references every mentioned template, script, or reference file against the actual directory contents.
- Quality Scoring: Based on weighted dimensions (Metadata, Trigger Clarity, Structure, Content, and Compliance), it generates a numerical quality score.
- Report Generation: The skill outputs a detailed optimization report categorized by 'Must Fix', 'Recommended', and 'Optional' improvements.
Skill Optimizer Setup
To start optimizing your Openclaw Skills, ensure the scripts have execution permissions and run the optimizer via the CLI:
# Grant execution permissions
chmod +x skill-optimizer/scripts/*.py
# Run validation on a specific skill
python3 skill-optimizer/scripts/optimize-skill.py <your-skill-name>
# Run a batch check with a detailed report
python3 skill-optimizer/scripts/optimize-skill.py --batch <folder-name> --report
Skill Optimizer Data Schema & Taxonomy
The Skill Optimizer uses a weighted scoring taxonomy to evaluate Openclaw Skills as follows:
| Dimension | Weight | Critical Check Items |
|---|---|---|
| Metadata | 20% | Field presence, naming conventions, and versioning |
| Trigger Clarity | 25% | Presence of [When to Use] tags and keyword coverage |
| Structure | 25% | Mandatory sections and progressive disclosure |
| Content Quality | 20% | Examples, error handling, and troubleshooting logic |
| Compliance | 10% | Formatting, valid links, and path consistency |
Note: Missing template files referenced in the SKILL.md result in an automatic failure (Score < 60).
Skill Optimizer Advanced Features
- Automated template file verification: Detects 'ghost' references to missing .md or .py files within your Openclaw Skills.
- Progressive Disclosure Enforcement: Ensures large skill files (300+ lines) are refactored into external references for faster agent loading.
- Batch Processing Mode: Analyzes entire skill directories in a single command for CI/CD integration.
- Security Auditing: Specifically flags missing allowed-tools fields to prevent unauthorized tool execution by agents.
SKILL.md
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