statistical-power
Pass
Audited by Gen Agent Trust Hub on Aug 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses established scientific Python libraries such as statsmodels, scipy, pingouin, numpy, pandas, and matplotlib for research planning and statistical calculations.
- [SAFE]: Installation instructions utilize standard package management via 'uv' and target official, well-known software registries.
- [SAFE]: All included Python scripts perform expected mathematical operations related to Monte Carlo simulations and power analysis; no unauthorized network access, sensitive file reads, or persistence mechanisms were found.
- [SAFE]: The documentation provides standard statistical guidance (e.g., SESOI, Cohen's benchmarks) and follows best practices for reporting research justifications.
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