statistical-power

Pass

Audited by Gen Agent Trust Hub on Jun 13, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides comprehensive instructions and Python scripts for performing statistical power analysis and sample size estimation.
  • [SAFE]: Dependencies identified are standard, well-known scientific libraries from the official Python Package Index (statsmodels, scipy, pingouin, numpy, matplotlib, pandas, lifelines).
  • [SAFE]: Analysis of the Python scripts (power.py and simulate_power.py) shows transparent, well-documented logic that uses established statistical methods (closed-form solvers and Monte Carlo simulation) without any dangerous side effects.
  • [SAFE]: No obfuscation, credential harvesting, network exfiltration, or prompt injection patterns were found. The skill maintains a professional and instructional tone consistent with its stated purpose.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 13, 2026, 03:28 AM
Security Audit — agent-trust-hub — statistical-power