Skill Sharpener is a quality assurance auditor designed to evaluate, diagnose, and optimize Openclaw Skills for maximum performance and reliability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-sharpener
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-sharpener 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 Sharpener?
Skill Sharpener functions as a dedicated quality control layer for AI coding agents. It performs a comprehensive assessment of existing SKILL.md files and their associated scripts to ensure they meet professional standards. By analyzing metadata quality, structural integrity, and content clarity, this tool helps developers refine their agents to be more discoverable and effective in real-world workflows.
The skill provides actionable feedback through a standardized report, grading the agent across five critical dimensions. Whether you are dealing with under-triggering descriptions or messy script implementations, Skill Sharpener identifies the bottlenecks and offers specific recommendations for improvement, including full refactoring support for Openclaw Skills.
Skill Sharpener Use Cases
- Reviewing an existing Openclaw Skills directory for best practice compliance.
- Diagnosing why a specific skill fails to trigger correctly during user interactions.
- Auditing Python scripts within a skill for robust error handling and path standardization.
- Generating quality scores and optimization reports for documentation and maintenance.
- Refactoring outdated skill structures to align with the latest agent protocols.
How Skill Sharpener Works
- The user identifies the target skill path or directory containing the SKILL.md file.
- Skill Sharpener reads the primary documentation, all referenced markdown files, and supporting scripts.
- An automated analysis script runs to extract objective metrics like line counts and frontmatter validity.
- A deep-dive code audit is performed on the scripts/ directory to check for error handling, path formatting, and magic numbers.
- The skill evaluates the content against a standardized checklist, assigning scores for metadata, structure, and clarity.
- A comprehensive Quality Assessment Report is generated, categorizing issues into high, medium, and low priorities.
- The user is prompted to automatically apply suggested fixes or re-write the description for better trigger coverage.
Skill Sharpener Setup
To utilize Skill Sharpener for your Openclaw Skills, ensure the auditing script is available in your environment. You can trigger an audit via the CLI:
# Navigate to your agent workspace
# Run the audit script on a specific skill directory
python scripts/audit_skill.py <path_to_skill_directory>
Ensure your directory structure follows the standard format with a SKILL.md at the root and an optional scripts/ folder.
Skill Sharpener Data Schema & Taxonomy
Skill Sharpener organizes its findings into a structured assessment report. It evaluates the following metadata and file taxonomy:
| Data Component | Description |
|---|---|
| Metadata | Validates name format, description effectiveness, and trigger keyword coverage. |
| Structural Integrity | Checks frontmatter fields, line counts (max 500), and reference depth. |
| Content Clarity | Evaluates third-person phrasing, terminology consistency, and brevity. |
| Script Metrics | Audits scripts for try/except blocks, POSIX path usage, and docstrings. |
| File References | Ensures a maximum of one level of nesting (SKILL.md -> reference.md). |
Skill Sharpener Advanced Features
- Automated high-priority fixes: Directly apply structural and formatting corrections to the SKILL.md file.
- Intelligent Description Re-writing: Optimizes the 'pushy' nature of triggers to prevent under-triggering of Openclaw Skills.
- Script Quality Scoring: Grades Python helper scripts on self-correction capabilities and documentation.
- Multi-Skill Directory Scanning: Capability to list and select multiple skills for bulk auditing.
- Backup Mechanism: Automatically creates backups of original files before performing any refactoring or optimization.
SKILL.md
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