Safuclaw – Security audits for AI agent skills with pay-per-scan model

Summary: Safuclaw provides a 4-stage security audit pipeline that scans AI agent skills for malware, prompt injection, data exfiltration, and suspicious behaviors before installation. It integrates directly as an OpenClaw skill, enabling agents to audit skills without accounts or API keys, with payments handled via micropayments on Base.

What it does

Safuclaw analyzes AI agent skills through static analysis, behavioral dataflow tracking, LLM semantic reasoning, and publisher verification to detect security threats. It operates as an OpenClaw skill, allowing agents to perform audits natively before installing new skills.

Who it's for

It is designed for AI agents and developers who need to securely vet skills from ClawHub or other sources prior to installation.

Why it matters

Safuclaw addresses security gaps by detecting advanced threats like prompt injection and obfuscated data exfiltration that traditional malware scanners miss, protecting agents from malicious skills.