ruvnet--ruflo/plugins/ruflo-iot-cognitum

ruflo-iot-cognitum

IoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware.

Hardware

This plugin requires a Cognitum Seed device. Get one at https://cognitum.one — the Seed is an edge appliance with on-device vector store, Ed25519 identity, OTA firmware, mesh networking, and a witness chain. Default address when attached via USB-C is http://169.254.42.1 (link-local, no auth) or https://169.254.42.1:8443 (LAN, bearer auth required for state-mutating operations).

Overview

Treats every Cognitum Seed device as a Ruflo agent with hardware capabilities. Devices progress through a 5-tier trust model, emit telemetry vectors for anomaly detection, participate in mesh networks, and maintain Ed25519 witness chains for provenance.

Backed by @claude-flow/plugin-iot-cognitum (239 tests, 39 source files).

Installation

claude --plugin-dir plugins/ruflo-iot-cognitum

Agents

Agent	Model	Role
device-coordinator	sonnet	Device lifecycle, 5-tier trust scoring, mesh coordination
telemetry-analyzer	sonnet	Z-score anomaly detection, SONA learning, AgentDB persistence
fleet-manager	sonnet	Fleet CRUD, firmware rollout state machine, fleet policies
witness-auditor	haiku	Witness chain epoch verification, gap detection

Skills

Skill	Usage	Description
iot-register	/iot-register <endpoint>	Register a Seed device
iot-fleet	/iot-fleet <create|list|add|remove|delete>	Fleet management
iot-anomalies	/iot-anomalies <device-id>	Detect telemetry anomalies
iot-firmware	/iot-firmware <deploy|advance|rollback|status|list>	Firmware rollouts
iot-witness-verify	/iot-witness-verify <device-id>	Verify witness chain integrity

Commands (25 subcommands)

# Device lifecycle
# `endpoint` defaults to http://169.254.42.1/ (the Seed link-local USB Ethernet address)
iot register [endpoint] [--token TOKEN]
iot list
iot status <device-id>
iot pair <device-id>
iot unpair <device-id>
iot remove <device-id>

# Telemetry
iot ingest <device-id>
iot baseline <device-id> [--compute]
iot anomalies <device-id>
iot query <device-id> --vector "[1,2,3]" --k 10

# Fleet management
iot fleet create --name "my-fleet"
iot fleet list
iot fleet add <fleet-id> <device-id>
iot fleet remove <fleet-id> <device-id>
iot fleet delete <fleet-id>

# Firmware rollouts
iot firmware deploy <fleet-id> --version "2.0.0"
iot firmware advance <rollout-id>
iot firmware rollback <rollout-id>
iot firmware status <rollout-id>
iot firmware list

# Mesh & witness
iot mesh <device-id>
iot witness <device-id>
iot witness verify <device-id>
iot health <device-id>
iot trust <device-id>

Trust Model (5 Tiers)

Level	Name	Score Range	Capabilities
0	UNKNOWN	0.0–0.19	Discovery only
1	REGISTERED	0.2–0.39	Status, identity queries
2	PROVISIONED	0.4–0.59	Telemetry ingest, vector store
3	CERTIFIED	0.6–0.79	Mesh participation, firmware deploy
4	FLEET_TRUSTED	0.8–1.0	Full fleet operations, witness signing

Trust Score Formula:

0.3×pairingIntegrity + 0.15×firmwareCurrency + 0.2×uptimeStability
+ 0.15×witnessIntegrity + 0.1×anomalyHistory + 0.1×meshParticipation

Anomaly Detection

Z-score composite scoring: min(1, meanZ/3)

Type	Detection Rule	Typical Cause
spike	maxZ > 5	Sudden sensor failure
flatline	all zero + low Z	Sensor disconnected
drift	1-2 dimensions high Z	Gradual calibration loss
oscillation	alternating high/low	Feedback loop
pattern-break	moderate Z, multiple dims	Environmental change
cluster-outlier	>50% dimensions high Z	Multi-sensor failure

Firmware Rollout State Machine

pending → canary → rolling → complete
                ↘ rolled-back ↙

• canary: Deploy to ceil(deviceCount × canaryPercentage/100) devices
• rolling: If canary anomaly score < rollback threshold, deploy to remaining
• rolled-back: Force rollback triggered by anomaly threshold breach

Background Workers

Worker	Interval	Event
HealthProbeWorker	30s	iot:device-offline
TelemetryIngestWorker	60s	—
AnomalyScanWorker	120s	iot:anomaly-detected
MeshSyncWorker	120s	iot:mesh-partition
FirmwareWatchWorker	300s	iot:firmware-mismatch
WitnessAuditWorker	600s	iot:witness-gap

Integrations

• AgentDB HNSW: Telemetry vectors stored in iot-telemetry namespace with HNSW indexing (M=16, efConstruction=200)
• SONA Neural: Anomaly patterns fed to SONA for cross-device correlation and predictive maintenance
• Cognitum SDK: @cognitum-one/sdk/seed SeedClient with 12 typed endpoints

Compatibility

• CLI: pinned to @claude-flow/cli v3.6 major+minor.
• Hardware: requires Cognitum Seed device. SDK: @cognitum-one/sdk/seed.
• Verification: bash plugins/ruflo-iot-cognitum/scripts/smoke.sh is the contract.

Namespace coordination

This plugin owns five AgentDB namespaces, all compliant with the ruflo-agentdb ADR-0001 §"Namespace convention" (<plugin-stem>-<intent> kebab-case):

Namespace	Purpose
iot-devices	Device trust history per Cognitum Seed
iot-telemetry	Telemetry vectors (HNSW: M=16, efConstruction=200)
iot-telemetry-anomalies	Detected anomalies tagged by type + remedial action
iot-anomalies	Skill-level anomaly index (alias of above)
iot-audit	Witness-chain gap records

Reserved namespaces (pattern, claude-memories, default) MUST NOT be shadowed.

Trust model parallel with federation

This plugin's 5-tier device trust model (UNKNOWN → REGISTERED → PROVISIONED → CERTIFIED → FLEET_TRUSTED) follows the same shape as the ruflo-federation 5-tier trust model (UNTRUSTED → VERIFIED → ATTESTED → TRUSTED → PRIVILEGED). Different surface (IoT devices vs federation peers) and distinct naming, but the score-driven progression and capability-gating principle are the same.

Verification

bash plugins/ruflo-iot-cognitum/scripts/smoke.sh
# Expected: "12 passed, 0 failed"

Architecture Decisions

• ADR-0001 — ruflo-iot-cognitum plugin contract (compliant namespaces, 5-tier trust parallel, 6 background workers, smoke as contract)

Related Plugins

• ruflo-agentdb — HNSW-indexed telemetry storage backend; namespace convention owner
• ruflo-federation — 5-tier trust model parallel (different surface, distinct naming, same shape)
• ruflo-intelligence — SONA neural pattern learning
• ruflo-observability — Telemetry correlation and tracing

License

MIT