historian AI Agent Skills
Browse 6 skills related to historian
historian-analyst
Analyzes events through historical lens using source analysis, comparative history, periodization, causation, continuity/change, and contextualization frameworks. Provides insights on historical patterns, precedents, path dependency, and long-term trends. Use when: Understanding historical context, identifying precedents, analyzing change over time, comparative history. Evaluates: Causation, continuity, change, context, historical parallels, long-term patterns.
detecting-attacks-on-scada-systems
This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.
securing-historian-server-in-ot-environment
This skill covers hardening and securing process historian servers (OSIsoft PI, Honeywell PHD, GE Proficy, AVEVA Historian) in OT environments. It addresses network placement across Purdue levels, access control for historian interfaces, data replication through DMZ using data diodes or PI-to-PI connectors, SQL injection prevention in historian queries, and integrity protection of process data used for safety analysis, regulatory reporting, and process optimization.
detecting-attacks-on-historian-servers
Detect cyber attacks targeting OT historian servers (OSIsoft PI, Ignition, Wonderware) that sit at the IT/OT boundary and serve as pivot points for lateral movement between enterprise and control networks, including data manipulation, unauthorized queries, and exploitation of historian-specific vulnerabilities.
mnemonics
Memory management by using the historian subagent to store, recall, and manage persistent memories across conversations. Use when you need to remember decisions, preferences, learnings, or retrieve stored context.
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, and correlating network anomalies with physical process data from historians.