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, and lifelines from official package registries. These are trusted dependencies commonly used in research and data science environments.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 15, 2026, 12:02 AM
Security Audit — agent-trust-hub — statistical-power