ClawGov is an end-to-end governance toolkit that brings decentralized security and community oversight to OpenClaw AI agents. Built for the SURGE × OpenClaw Hackathon, it acts as an intelligent firewall and governance layer that prevents agents from executing dangerous or unapproved community skills. The core problem in open AI ecosystems is determining which agent capabilities (skills) are safe to run. Relying on centralized blacklists is slow and vulnerable. ClawGov shifts this power to the community through a four-step pipeline: First, the system Scans external skill registries like Moltbook to flag potentially risky code. Next, it allows users to Propose governance actions (e.g., banning a specific, high-risk scraping tool). The community then Votes on these proposals using SURGE-backed quadratic voting, which ties governance weight to network participation and ensures fair, Sybil-resistant outcomes. Finally, and most importantly, the system Enforces the community's will. Once a vote passes, ClawGov compiles the decision into a strict policy file deployed directly to the OpenClaw Gateway. If an agent attempts to execute a banned skill, the Gateway hook identifies the unauthorized action and blocks it at the network layer. ClawGov bridges Web3 incentive models with cutting-edge AI infrastructure, proving that decentralized communities can successfully govern autonomous AI behaviors in real-time.
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