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Deploys anomaly detection for OT/ICS environments using machine learning on OT network baselines, physics-based process models, and Modbus/DNP3/OPC UA traffic analysis to flag deviations, rogue devices, and mismatches against historian data. Use for continuous OT monitoring, baselining deterministic SCADA polling, or investigating alerts from Nozomi Guardian/Dragos needing deeper protocol analysis.
detecting-anomalies-in-industrial-control-systems is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Detecting Anomalies in Industrial Control Systems ## When to Use - When deploying continuous monitoring for OT environments that lack intrusion detection - Wh. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding detecting-anomalies-in-industrial-control-systems to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install rivaldiekaptrrr/Track-appReview the upstream source before running this command.
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Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Detecting Anomalies in Industrial Control Systems ## When to Use - When deploying continuous monitoring for OT environments that lack intrusion detection - When building behavior