digital-twin
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill's content is focused on providing technical documentation and code templates for digital twin development, following industry best practices for state estimation and synchronization.
- [COMMAND_EXECUTION]: Code examples utilize standard Python libraries and established third-party packages such as numpy, scipy, aiomqtt, and ntplib. These are appropriate for the skill's stated purpose of simulation and sensor data processing.
- [DATA_EXFILTRATION]: Network operations described (MQTT communication and NTP time synchronization via pool.ntp.org) are typical for IoT and distributed systems. No suspicious external connections or data exfiltration attempts were found.
- [INDIRECT_PROMPT_INJECTION]: While the skill outlines patterns for processing external sensor data—a potential vector for indirect injection—it actively mitigates this by providing guidance on sensor data validation, quality tracking, and divergence monitoring.
Audit Metadata