A proactive security scanner that identifies malware and install traps within Openclaw Skills before they can compromise your system.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install claw-skill-guard
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 claw-skill-guard using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Claw Skill Guard is an essential security utility designed specifically for the ecosystem of Openclaw Skills. As AI agents become more autonomous, the risk of installing malicious scripts via skill repositories increases. This tool provides a vital line of defense by performing static analysis on skill source code and installation manifests to detect harmful patterns like remote code execution or unauthorized credential access.
By incorporating this scanner into your developer workflow, you can safely explore the vast library of Openclaw Skills available on ClawHub or external Git repositories. It acts as an automated auditor, ensuring that every skill you integrate into your workspace meets a baseline of safety and transparency.
To begin securing your Openclaw Skills, navigate to the skill directory and use the Python-based scanner:
# Scan a remote skill from a URL
python3 scripts/claw-skill-guard/scanner.py scan https://clawhub.com/user/skill-name
# Scan your current local directory
python3 scripts/claw-skill-guard/scanner.py scan ./
The skill organizes its security intelligence into several JSON-based pattern files to allow for easy updates as new threats to Openclaw Skills emerge:
| File | Purpose |
|---|---|
patterns/critical.json |
Signatures that trigger an immediate block (e.g., pipe to bash). |
patterns/high.json |
High-risk patterns requiring manual developer approval. |
patterns/medium.json |
Suspicious activity that warrants a thorough code review. |
patterns/allowlist.json |
A list of trusted domains and packages to minimize false positives. |
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