A security-first auditing tool that scans AI agent skills for malicious patterns, permission overreach, and ClawHavoc attack vectors.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-scanner-v1
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-scanner-v1 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Skill Scanner is a specialized security utility designed to protect users within the AI agent ecosystem by vetting SKILL.md files before they are installed or executed. It performs comprehensive static analysis to detect hidden threats, including reverse shells, credential harvesting, and prompt injection techniques that could compromise a developer's system.
By analyzing the structural integrity and intent of Openclaw Skills, this tool provides a clear traffic-light safety verdict. It ensures that any third-party skill from ClawHub, GitHub, or local sources adheres to the principle of least privilege and maintains transparent instruction quality, significantly reducing the risk of automated security breaches.
Skill Scanner is designed to run within your existing agent environment. To begin auditing Openclaw Skills, you can provide the source file or URL directly to the agent.
# To scan a skill from a URL
/scan https://github.com/user/repository/blob/main/SKILL.md
# To scan a local file
/scan ~/.openclaw/skills/example-skill/SKILL.md
The skill organizes its security findings into five primary categories. Results are formatted as a structured Safety Report for easy review:
| Analysis Category | Focus Area |
|---|---|
| Frontmatter Integrity | YAML field consistency, suspicious binaries (curl, nc), and metadata validity. |
| Pattern Detection | Shell execution, credential harvesting, and data exfiltration patterns. |
| Permission Fit | Mapping functional category (e.g., UI tool) against requested system access. |
| Instruction Quality | Detecting prompt injection, hidden Unicode, and scope creep. |
| Trust Signals | Author verification, version history, and licensing. |
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