data-engineering-best-practices
Pass
Audited by Gen Agent Trust Hub on Mar 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a reference guide for data engineering architecture and standards.
- [SAFE]: All code snippets are provided as educational examples for using standard libraries such as Polars, DuckDB, and PyArrow.
- [SAFE]: The documentation explicitly highlights security anti-patterns to avoid, such as hardcoding credentials and using non-parameterized SQL.
- [SAFE]: External links point to official documentation of well-known open-source data projects like Apache Iceberg, Delta Lake, and DuckDB.
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