NYC

aeon

Pass

Audited by Gen Agent Trust Hub on Feb 17, 2026

Risk Level: SAFE
Full Analysis
  • EXTERNAL_DOWNLOADS (SAFE): The documentation describes functions like download_all_regression() and load_classification() which download datasets from established academic archives such as the UCR/UEA time series archives and the Monash Forecasting Archive. These are standard features for a machine learning library and point to reputable academic sources.
  • NO_CODE (SAFE): The skill contains only documentation files (.md) without standalone executable scripts. All provided code is in the form of illustrative examples within markdown blocks, intended for educational purposes on how to use the aeon library.
  • DATA_EXPOSURE (SAFE): No hardcoded credentials, sensitive file paths, or unauthorized data access patterns were identified. Code snippets demonstrate standard data handling using numpy and aeon.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 17, 2026, 06:29 PM