A powerful security scanner designed to detect malicious patterns, backdoors, and supply chain attacks within AI agent skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-security-audit-enhanced
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-security-audit-enhanced using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Security Audit Enhanced is a comprehensive security tool optimized for auditing AI agent skills. It identifies malicious behaviors, including data exfiltration, credential theft, and unauthorized persistence. By leveraging SlowMist threat intelligence and 13 specialized detectors, this tool ensures your Openclaw Skills environment remains secure against evolving supply chain threats.
Built as a pure Python implementation with zero external dependencies, it provides a lightweight yet robust auditing layer. It is specifically designed to analyze 472+ known malicious patterns identified on the ClawHub platform, making it an essential utility for developers and security researchers working with agentic workflows.
To perform a security scan on your Openclaw Skills, run the following command in your terminal:
python3 /root/.openclaw/skills/skill-security-audit/scripts/skill_audit.py
For a targeted scan of a specific directory, use the path flag:
python3 skill_audit.py --path /your/custom/skill/path
The skill organizes its audit data into structured findings for easy analysis.
| Attribute | Description |
|---|---|
| Severity | Indicates the risk level (Critical, High, Medium, or Low). |
| Detector | The specific logic used (e.g., CredentialTheftDetector, PersistenceDetector). |
| Confidence Score | A 0-100 rating of the finding's accuracy. |
| IOC Database | A JSON-based repository of known malicious indicators. |
| Exit Codes | Standardized codes (0-4) representing the scan's final risk state. |
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