iot-anomalies

Original：🇺🇸 English

Translated

Detect and classify telemetry anomalies on Cognitum Seed devices

5installs

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo iot-anomalies

Run Z-score anomaly detection on a device's recent telemetry.

Steps:

npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot anomalies DEVICE_ID

Review detected anomaly types (spike, flatline, drift, oscillation, pattern-break, cluster-outlier)
If score > 0.9, recommend quarantine

Store anomaly pattern for learning:

mcp__claude-flow__memory_store({ key: "iot-anomaly-DEVICEID", value: "TYPE at SCORE", namespace: "iot-anomalies" })