statsmodels

Pass

Audited by Gen Agent Trust Hub on Jun 17, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a purely informational and educational resource for the statsmodels Python library. It provides code templates for linear regression, generalized linear models, time series analysis, and discrete choice models using standard data science libraries like numpy, pandas, scipy, and scikit-learn.
  • [SAFE]: No suspicious network operations, credential harvesting, or unauthorized file system access were identified. External links point exclusively to the official documentation at statsmodels.org.
  • [SAFE]: No forms of obfuscation (Base64, hex-encoding, or hidden characters) or prompt injection attempts were found in the instructions or reference files.
  • [SAFE]: The skill does not use any dynamic code execution patterns or remote script fetching. All code snippets are intended for the user to execute in a controlled local environment.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 17, 2026, 11:18 AM
Security Audit — agent-trust-hub — statsmodels