A pre-deployment security auditor that scans Openclaw Skills for high-risk patterns before they are written to your local disk.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-pre-install-scanner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install skill-pre-install-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Pre-Install Scanner serves as a critical security layer for developers using AI coding agents. It intercepts installation requests to analyze the source code of a skill for malicious patterns, such as combined shell and network execution, unauthorized external URLs, and unverified publishers. By acting as a gatekeeper, it ensures that only vetted and safe Openclaw Skills are integrated into your local development environment.
This tool is designed to catch the three most dangerous signals in a lightweight, free-to-use package. By scanning the configuration and instructions of a skill before anything lands on your disk, it mitigates the risk of executing untrusted code that could lead to data exfiltration or system compromise.
To begin using the scanner to protect your Openclaw Skills, ensure your AI agent has access to the web_fetch and web_search tools. Install the scanner using the following command:
clawhub install skill-pre-install-scanner
No additional API keys or environment variables are required for this security module.
The Pre-Install Scanner processes external skill metadata and generates a real-time security report with the following structure:
| Attribute | Description |
|---|---|
| Risk Signals | Identifies shell+network combos, hardcoded URLs, and publisher status |
| Risk Ratings | Categories results into LOW (Proceed), MEDIUM (Warn), or HIGH (Block) |
| Metadata Sources | Analyzes SKILL.md files and checks publisher standing via web search |
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