data-engineer
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a comprehensive resource for data engineering best practices and contains no malicious logic, injections, or persistence mechanisms.
- [DATA_EXPOSURE]: Example configurations in the documentation use safe industry-standard placeholders (e.g.,
${secrets.db_password}) rather than hardcoding credentials. - [EXTERNAL_DOWNLOADS]: The skill references standard and reputable data processing libraries including
pydantic,great_expectations, andpandasfor validation and transformation tasks. - [INDIRECT_PROMPT_INJECTION]: The skill provides specific patterns for mitigating injection risks through data ingestion, including mandatory evidence of ingestion point validation (Pydantic schemas) and capability inventory controls (statistical validation with Great Expectations).
Audit Metadata