experimental-design-guide
Pass
Audited by Gen Agent Trust Hub on Sep 24, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides Python implementations for statistical power analysis and experimental design generation using established libraries including scipy, numpy, pandas, statsmodels, and pyDOE2. No network requests, sensitive file access, or arbitrary command execution were found in the code or instructions. The implementation uses standard itertools and pandas functions for design matrix generation and statsmodels for ANOVA analysis, all of which are executed locally without external side effects.
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