ml-causal

Pass

Audited by Gen Agent Trust Hub on Jun 22, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill documents the use of industry-standard econometrics and machine learning libraries including DoubleML, EconML (Microsoft Research), and grf (Generalized Random Forest). Package installation instructions provided (e.g., pip, install.packages, ssc install) refer to official and well-known repositories.
  • [SAFE]: The skill focuses on statistical estimation and nuisance parameter modeling. It does not perform any unauthorized file system access, network exfiltration, or credential harvesting.
  • [SAFE]: Analysis of data processing shows that instructions are limited to training models and generating statistical outputs from user-supplied datasets, with no dangerous dynamic execution patterns detected.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 22, 2026, 03:10 AM
Security Audit — agent-trust-hub — ml-causal