robust-ai

Pass

Audited by Gen Agent Trust Hub on Mar 10, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate and well-structured code for monitoring and managing the reliability of AI systems. The patterns used for model versioning, monitoring, and automated retraining are standard for ML production environments.
  • [EXTERNAL_DOWNLOADS]: The skill references several well-known and trusted machine learning and data science libraries including torch, prometheus_client, evidently, river, scipy, numpy, and apache-airflow. These are established packages within the official Python ecosystem.
  • [COMMAND_EXECUTION]: The skill includes functionality to trigger Apache Airflow DAGs through its local client. This is a standard integration for automating machine learning pipelines and is consistent with the skill's purpose of handling model retraining.
  • [DATA_EXFILTRATION]: The code initializes a Prometheus metrics server on port 8000. This is an expected practice for exposing model performance metrics and does not constitute unauthorized data exfiltration or access.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 10, 2026, 03:06 AM