coe-consensusCOE Consensus Engine — Cross-Model Consensus Skill for Shared World State Formation
Install via ClawdBot CLI:
clawdbot install schchit/coe-consensusGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:8000/consensusCalls external URL not in known-safe list
http://localhost:8000/consensusAudited Apr 27, 2026 · audit v1.0
Generated May 12, 2026
Multiple robots in a warehouse autonomously report and verify inventory status (e.g., door open/closed, shelf occupancy). COE Consensus resolves conflicting observations into a single shared world state for real-time inventory management.
Autonomous vehicles and roadside sensors collectively perceive traffic conditions (e.g., obstacle presence, traffic light status). Consensus ensures reliable environment models for safe navigation despite individual sensor noise or failures.
IoT sensors and AI agents monitor building systems (e.g., temperature, occupancy). COE Consensus aggregates diverse event streams to detect anomalies and trigger automated responses, reducing false alarms.
Multiple large language models collaboratively validate factual statements or safety-critical decisions. BFT policy tolerates potentially faulty models, ensuring high-integrity outputs for high-stakes applications.
Offer the consensus engine as an API service to enterprises needing reliable multi-agent state fusion across IoT, robotics, or AI systems. Charge per API call or subscription tier based on event volume.
License the COE Consensus engine to manufacturers of industrial robots, drones, or smart sensors for integration into on-device controllers. One-time royalty per unit or software stack licensing.
Provide a managed service where COE Consensus is used to cross-validate outputs from multiple foundation models (e.g., GPT, Claude, Gemini) for enterprise clients. Price per validation session or monthly retainer.
💬 Integration Tip
Start with simple_majority policy using a single target to test integration, then move to weighted_trust with custom trust_weights as you onboard heterogeneous agents.
Scored May 12, 2026
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