Safuclaw

Security audits for AI agent skills. Pay per scan.

3 followers

Security audits for AI agent skills. Pay per scan.

3 followers

Safuclaw is a 4-stage security audit pipeline for AI agent skills. Before your agent installs a skill from ClawHub or any other resources, Safuclaw scans it for malware, prompt injection, data exfiltration, and suspicious behavior patterns. Your OpenClaw agent can call Safuclaw directly as a skill. No accounts. No API keys. Pay 0.99 USDC per audit via x402 micropayments on Base. Built for agents, not dashboards.

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Launch tags:Developer Tools•Artificial Intelligence•Security

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Viktor.comAn AI coworker that actually does the work

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Earlier this year, the ClawHavoc campaign planted 341 malicious skills on ClawHub. They were skills that looked legitimate but were quietly exfiltrating SSH keys, API tokens, and browser cookies. OpenClaw now has 13,000+ skills on ClawHub and around 20% have security concerns. The existing defense mechanism there catches known malware signatures, but misses prompt injection, obfuscated data exfiltration, and behavioral red flags that only show up when you read the skill like an AI would. Safuclaw runs a 4-stage pipeline: - Static analysis (pattern matching, IOC detection, typosquat checking) - Behavioral/dataflow analysis (source-to-sink tracking) - LLM semantic analysis (GPT-5.4 reads the skill and reasons about intent) - Publisher verification It's distributed as an OpenClaw skill itself so you can find it on ClawHub and your agent can audit other skills before installing them. No accounts, no API keys. Payment happens via x402 micropayments (0.99 USDC on Base), meaning the entire flow is agent-native and frictionless. I'd love your feedback on the approach. Is there anything you'd want from a security layer for AI agents that I'm missing?

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7mo ago

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