Cyber Detecting Anomalies In Industrial Control Systems
ASecurity
This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications. It addresses building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices,
Installs into .claude/skills of the current project.
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---
name: cyber-detecting-anomalies-in-industrial-control-systems
description: "This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications. It addresses building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices,"
hide: true
---
<!-- GENERATED:YURI-CODEX-SKILL-ADAPTER:v1 -->
# YURI skill adapter
Authoritative source: `.claude/skills/cyber-detecting-anomalies-in-industrial-control-systems/SKILL.md`
Authoritative source SHA-256: `4b2fe2829469db85d00cf03059eaa24d31d4fc270fae5c8098c1ca26cc4a437c`
Source class: `cyber-armed`
Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run `node _SYSTEM/Scripts/skill-recall.mjs --show cyber-detecting-anomalies-in-industrial-control-systems` and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.
