cyber-detecting-anomalies-in-industrial-control-systems
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,
- License 许可
- MIT
- 最近更新
- 2026-10-27
- Stars
- ★ 2
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- 0
01 前言 Front Matter
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- 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,
02 资源文件 1
- 参考文档agents/openai.yaml82 B
03 SKILL.md 正文
<!-- 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.
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