skills/mukul975/anthropic-cybersecurity-skills/detecting-anomalies-in-industrial-control-systems/Gen Agent Trust Hub
detecting-anomalies-in-industrial-control-systems
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The analysis did not reveal any malicious patterns, obfuscation, or unauthorized data exfiltration. The skill's behavior aligns with its stated purpose of ICS anomaly detection.
- [EXTERNAL_DOWNLOADS]: The skill utilizes well-known and trusted Python libraries, including scikit-learn, numpy, pandas, and pymodbus, which are standard for data science and industrial protocol communication.
- [COMMAND_EXECUTION]: The provided agent script includes a network segmentation check that performs port scanning on common ICS services (e.g., Modbus, DNP3, S7comm) to identify potential misconfigurations.
- [DATA_EXFILTRATION]: The skill's functionality involves querying a process historian API for sensor data using user-provided credentials, which is a required step for its primary analytical workflow.
Audit Metadata