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    ics-anomaly-detection

    ics-anomaly-detection

    by LocoLoboZ

    Design and analyze industrial control system anomaly detection logic for safe, protocol-aware OT security monitoring.

    Updated May 2026
    Security scanned
    One-time purchase

    $15

    · or 75 credits

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    Included in download

    • Design passive detection logic for industrial protocols like Modbus and DNP3
    • Create structured anomaly reports for SOC and OT engineering teams
    • network, terminal automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    A real example of what this skill takes in and produces.

    Sample input

    I have passive monitoring data from a Modbus/TCP network covering 48 hours. There are 3 devices showing unexpected polling frequency changes and 1 device communicating on a previously unobserved port. Produce an anomaly detection report and findings register.

    Sample output

    The skill produces a structured anomaly detection report covering the observed deviations, a baseline profile comparison, and a findings register with severity classifications. Each anomaly entry includes protocol context, observed versus baseline behaviour, potential significance, and recommended passive investigation steps. A passive monitoring and active testing boundary note is included, confirming no active probing is advised. The output is formatted for inclusion in an OT security governance or assurance review.

    About This Skill

    Professional ICS and OT Anomaly Analysis

    In industrial environments, distinguishing between a routine process change and a sophisticated cyber threat is a high-stakes challenge. The ICS Anomaly Detection skill provides a specialized framework for assessing, designing, and validating anomaly detection across SCADA, PLC, and IIoT environments. It bridges the gap between raw network data and operational safety.

    What it does

    This skill enables cyber defenders to analyze passive monitoring evidence, establish behavioral baselines, and investigate protocol-specific deviations without risking plant stability. It guides users through creating structured anomaly reports and detection designs that map network behavior to operational risk.

    • Protocol Intelligence: Analyze Modbus, DNP3, OPC UA, S7, and BACnet for function code outliers or timing anomalies.
    • Baseline Validation: Differentiate between legitimate maintenance windows and malicious lateral movement.
    • Vendor Agnostic: Compatible with any OT monitoring platform, PCAP export, or Historian data.
    • Safe Methodology: Enforces strict authorization and passive-first analysis to protect live production environments.

    Why use this skill?

    Prompting an AI yourself often leads to generic IT security advice that ignores the physical safety constraints of a factory or utility. This skill applies specialized OT logic to ensure recommendations are non-disruptive, evidence-based, and aligned with industrial engineering standards. It produces professional-grade documentation—such as findings registers and detection plans—ready for SOC and engineering stakeholders.

    Use Cases

    • Design passive detection logic for industrial protocols like Modbus and DNP3
    • Create structured anomaly reports for SOC and OT engineering teams
    • Validate behavior baselines against maintenance logs and shift cycles
    • Assess timing and volume deviations in mission-critical SCADA networks

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    Security Scanned

    Passed automated security review

    Permissions

    Network Access
    Terminal / Shell

    Allowed Hosts

    pymodbus.readthedocs.io
    www.cisa.gov
    csrc.nist.gov

    File Scopes

    ics-anomaly-detection/**

    Creator

    I design and publish skills built from real professional practice across three areas: cyber security consulting, business operations, and AI workflow engineering. My cyber security skills draw on active advisory work spanning governance, risk, compliance, assurance, and executive reporting. They are built for practitioners who need structured, defensible outputs - not generic templates. My business operations skills cover the day-to-day work of running a consulting practice: bookkeeping, financial tracking, expense reconciliation, and marketing content - designed to reduce repetitive overhead and keep outputs consistent. My AI platform and workflow skills are built for people who want to get more out of Claude and similar platforms - covering prompt engineering, skill architecture, automation pipelines, and agent enhancement. Every skill I publish has been tested in production use before it reaches the marketplace. If it is here, it works.

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