clawhub-skill-scanner

To scan an AI agent skill for malicious code, you audit the target skill directory using Python scripts that perform deep code analysis and pattern matching against a predefined threat database to detect vulnerabilities like reverse shells and data exfiltration.

When auditing external skill supply chains, look for known malicious patterns including reverse shells, credential access, and data exfiltration. Supply chain threat detection scans code to prevent compromised AI skills from harming your agent or stealing sensitive data.

Yes, you can analyze skills sourced from GitHub, ClawHub, or external URLs for security vulnerabilities. The scanner applies deep code analysis to any skill source before installation to ensure protection against malicious code patterns.

Risk scoring evaluates scanned code patterns and assigns a clear risk level of SAFE, CAUTION, DANGER, or BLOCKED. This risk score guides your installation decisions by quantifying the threat potential of the analyzed AI agent skill.

The best way to protect your AI agent from the ClawHavoc campaign is to run a security scanner that detects malicious code patterns before installing any new skill. This audit prevents compromised skills from executing reverse shells or credential theft.

Yes, you need Python to run a malware scan on AI agent skills. The code analysis and pattern matching against the threat database require Python scripts to perform the deep security audit before skill installation.