statistics-timeseries

Pass

Audited by Gen Agent Trust Hub on Aug 31, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill functions exclusively as a reference repository for quantitative finance techniques, providing mathematical formulas and code templates for stationarity testing, ARIMA/GARCH modeling, and factor analysis.
  • [EXTERNAL_DOWNLOADS]: The documentation references the Ken French Data Library hosted by Dartmouth College (mba.tuck.dartmouth.edu) as a source for Fama-French factor data. This is a well-known academic resource for financial research.
  • [COMMAND_EXECUTION]: Contains Python code snippets intended for local data analysis using established libraries such as statsmodels, arch, and numpy. There are no commands for automated installation or remote script execution.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 31, 2026, 12:32 PM
Security Audit — agent-trust-hub — statistics-timeseries