experimental-design

Pass

Audited by Gen Agent Trust Hub on Jun 12, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements standard experimental design methodologies. The scripts for randomization and DOE matrix generation are transparent, well-documented, and use local computations without any hidden behaviors.
  • [EXTERNAL_DOWNLOADS]: The skill specifies dependencies on well-known scientific packages including numpy, pandas, and pyDOE3. These are installed from official package registries, which is a standard and safe practice for this type of analytical tool.
  • [COMMAND_EXECUTION]: The provided scripts are designed for data processing and mathematical layout generation. They do not involve dangerous shell commands, privilege escalation, or persistence mechanisms.
  • [DATA_EXFILTRATION]: No network operations or access to sensitive local files were detected. The scripts operate entirely on user-provided factor parameters to generate design layouts.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 12, 2026, 07:41 PM
Security Audit — agent-trust-hub — experimental-design