experimental-design
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE] (SAFE): No malicious patterns, prompt injections, or unauthorized data access methods were identified.
- [EXTERNAL_DOWNLOADS] (SAFE): The skill references standard Python libraries (pandas, numpy, scipy, statsmodels, pyDOE2, scikit-learn). These are appropriate for the skill's stated purpose of experimental design and are well-established in the data science ecosystem.
- [COMMAND_EXECUTION] (SAFE): The provided Python code patterns perform mathematical computations and data manipulation. No evidence of arbitrary command execution, subprocess spawning, or shell-related risks was found.
Audit Metadata