A specialized auditing tool designed to test, score, and optimize AI agent skills against the official Anthropic and Openclaw Skills specifications.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-test-skill
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 skill-test-skill 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 Validator?
The Skill Validator is a developer-focused utility that ensures your custom AI capabilities meet the rigorous standards required for production environments. By analyzing directory structures, YAML frontmatter, and body content, it helps developers build high-quality Openclaw Skills that trigger accurately and execute reliably.
This skill provides an automated way to grade skill quality across six critical dimensions, including progressive disclosure design and trigger optimization. It translates complex specifications into actionable feedback, ensuring that every component from the SKILL.md file to the supporting scripts is optimized for agentic workflows.
Skill Validator Use Cases
- Auditing a new skill repository for compliance with the Openclaw Skills standard.
- Debugging why an agent skill is not triggering correctly during user conversations.
- Receiving a standardized quality score (0-100) for internal development benchmarks.
- Generating a detailed improvement report for a SKILL.md file before publishing it to a registry.
How Skill Validator Works
- The user provides a local path, GitHub URL, or a raw SKILL.md description to the agent.
- The validator recursively lists and reads all files within the skill directory, including scripts, references, and assets.
- It parses the YAML frontmatter to verify name, description, and metadata requirements for Openclaw Skills.
- The system evaluates the body content for imperative instructions, workflow clarity, and architectural design.
- A comprehensive Markdown report is generated with a total score, graded status, and prioritized improvement suggestions.
Skill Validator Setup
To use the Skill Validator within your local environment, ensure you have your skill directory accessible to your AI agent. You can initiate a check by providing the path directly.
# Example of triggering a validation via prompt
Check my skill at ./skills/my-new-tool/
# Or validate a remote repository
Score this skill: https://github.com/user/repo/tree/main/skills/test-skill
No additional binary installation is required if the validator is already integrated into your Openclaw Skills workspace.
Skill Validator Data Schema & Taxonomy
The validator uses a multi-dimensional scoring rubric to organize its findings and evaluate the Openclaw Skills architecture.
| Dimension | Max Points | Focus Area |
|---|---|---|
| Directory Structure | 10 | Proper file placement and naming conventions |
| Frontmatter | 30 | YAML validation, description length, and field compliance |
| Body Content | 25 | Instruction quality, imperative form, and workflow clarity |
| Progressive Disclosure | 15 | Efficient context window management and resource splitting |
| Optional Directories | 10 | Quality and documentation of scripts and reference files |
| Trigger Optimization | 10 | Effectiveness of trigger keywords and pushiness |
Scores are categorized into grades ranging from Excellent (90-100) to Critical (0-39).
Skill Validator Advanced Features
- Automated language detection (English and Chinese) for generating localized audit reports based on user input.
- Deep analysis of script files to ensure robust error handling and documentation within Openclaw Skills.
- Progressive disclosure auditing to prevent context window bloat by recommending reference file usage for large datasets.
- High-precision trigger analysis to increase the reliability of skill invocation by AI agents through optimized description fields.
SKILL.md
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