Login
ruvnet/ruflo1 file

Iot Anomalies

Detect and classify telemetry anomalies on Cognitum Seed devices. Use when investigating a device that's reporting odd metrics, before approving a firmware canary advancement, or when triaging fleet-wide health alerts.

Use this skillView repositoryView on skills.sh
Specification
Skill ID
ruvnet/ruflo/iot-anomalies
Publisher
ruvnet
Repository
ruflo
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

ruvnet/ruflo/iot-anomaliesInstalls these files
  • SKILL.md

What this skill tells the agent

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

Steps:

  1. npx -y -p @claude-flow/plugin-iot-cognitum@latest cognitum-iot anomalies DEVICE_ID
  2. Review detected anomaly types (spike, flatline, drift, oscillation, pattern-break, cluster-outlier)
  3. If score > 0.9, recommend quarantine
  4. Store anomaly pattern for learning: mcp__plugin_ruflo-core_ruflo__memory_store({ key: "iot-anomaly-DEVICEID", value: "TYPE at SCORE", namespace: "iot-anomalies" })

More from ruvnet

ruvnet/ruflo

Adr Create

Create a new Architecture Decision Record with sequential numbering and AgentDB registration

ruvnet/ruflo

Adr Index

Build or rebuild the ADR index + dependency graph by running scripts/import.mjs (handles v3-style and plugin-style ADR formats; one Bash call vs hundreds of MCP round-trips)

ruvnet/ruflo

Adr Review

Review code changes against accepted ADRs for compliance violations

Use this skill in a project

Open any RiverX project, search the Skills panel for ruvnet/ruflo/iot-anomalies, and install it in one click.

Use this skill