ml-data-pipeline
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a comprehensive guide for ML data engineering workflows, providing instructions for data ingestion, validation, and feature engineering.
- [EXTERNAL_DOWNLOADS]: The skill references official documentation for several well-known technology projects including TensorFlow (Google), Apache Spark, Feast, DVC, and Polars. These references are used for educational purposes and point to established, official domains.
- [COMMAND_EXECUTION]: Provides standard command-line examples for Data Version Control (DVC). These commands are routine for managing data versions and do not contain malicious payloads or privilege escalation attempts.
- [SAFE]: Code snippets for processing engines (Spark, Polars) and feature stores (Feast) follow standard usage patterns and do not involve unsafe dynamic code execution or sensitive data exfiltration.
Audit Metadata