statistical-power
Pass
Audited by Gen Agent Trust Hub on Jun 15, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill implements established statistical methodologies for study planning. Detailed review of the provided Python scripts (
power.py,simulate_power.py) confirms they function as transparent wrappers for standard scientific computing libraries (statsmodels, scipy, numpy). No patterns of prompt injection, data exfiltration, or persistence were detected. - [EXTERNAL_DOWNLOADS]: The skill references the installation of well-known, industry-standard Python packages including
statsmodels,scipy,pingouin,numpy,matplotlib,pandas, andlifelinesfrom official package registries. These are trusted dependencies commonly used in research and data science environments.
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