A comprehensive security auditing tool designed to detect malicious code, obfuscated payloads, and social engineering threats in Openclaw Skills before installation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-auditor-pro
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-auditor-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Skill Auditor is a robust security framework specifically engineered to protect users from malicious content within the ClawHub ecosystem. By acting as a proactive defense layer, it allows developers to scan Openclaw Skills for dangerous patterns, hidden backdoors, and credential-stealing scripts. The tool is essential for maintaining a secure automation environment, providing a technical evaluation of code integrity before any third-party script is executed on your system.
This skill employs a multi-faceted approach to security, combining traditional pattern matching with sophisticated deobfuscation and optional LLM-driven intent analysis. Whether you are a developer integrating new automation or a security-conscious user, Skill Auditor ensures that the Openclaw Skills you deploy are trustworthy and free from known Indicators of Compromise (IoC).
To secure your workspace and audit Openclaw Skills, ensure the skill-auditor is available in your workspace and follow these steps:
# Step 1: Inspect the skill without installing
clawhub inspect <skill-name>
# Step 2: Run the audit script against the remote skill
~/.openclaw/workspace/skills/skill-auditor/scripts/audit.sh <skill-name>
# Optional: Audit a skill that is already on your local machine
~/.openclaw/workspace/skills/skill-auditor/scripts/audit.sh --local <skill-path>
Skill Auditor maintains a library of security signatures and metadata to evaluate Openclaw Skills efficiently.
| Data Component | Description |
|---|---|
| Pattern Library | Regex-based signatures for detecting curl |
| IoC Database | A list of known malicious IPs and domains used for command-and-control. |
| Risk Taxonomy | Classification of findings into High (Malicious), Medium (Sensitive Data Access), and Low (Privilege) risks. |
| Deobfuscation Maps | Logic for decoding Base64 and Hex strings into readable command structures. |
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