Skill UI

This tool detects and classifies anomalies (such as spikes, drift, flatlines, or pattern breaks) in the telemetry data streamed from Cognitum Seed IoT devices. It utilizes Z-score analysis to quantify the deviation from normal operational metrics. Use this when investigating unexpected device behavior, validating stability before firmware advancements, or triaging large-scale fleet health alerts.

This tool provides comprehensive command-line functionality to manage Cognitum Seed device fleets. It allows users to programmatically perform essential operations such as listing, creating, adding, removing, and deleting entire groups of IoT devices, ensuring systematic lifecycle management and policy enforcement across large-scale deployments.

This tool registers a Cognitum Seed IoT device by specifying its endpoint. It establishes a SeedClient connection, fetches the device's identity, and assigns an initial trust level. It supports optional pairing token usage for advanced setup and provides device status checks.

This tool verifies the integrity of the witness chain for Cognitum Seed IoT devices. It checks for potential provenance gaps and hash chain breaks across epochs, providing a comprehensive integrity score (0.0–1.0). Detected gaps are automatically stored in an audit trail for historical review and compliance.