building-data-pipelines
Pass
Audited by Gen Agent Trust Hub on Apr 11, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate educational and template content for data engineering workflows focused on batch processing and architectural best practices.- [SAFE]: All identified dependencies, including Polars, DuckDB, PyArrow, Delta Lake, PyIceberg, Boto3, and Tenacity, are standard, industry-recognized libraries for the stated purpose of the skill.- [SAFE]: File system and cloud storage (S3) operations are strictly aligned with the primary functionality of building data pipelines and managing dataset lifecycles, with no evidence of unauthorized exfiltration.- [SAFE]: No evidence of prompt injection, malicious command execution, obfuscation, or persistence mechanisms was found across any of the analyzed files.
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