ml-data-pipeline-architecture
Pass
Audited by Gen Agent Trust Hub on Feb 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate educational and architectural content for data engineering.
- [SAFE]: Code examples use standard libraries (Polars, PyTorch, ClickHouse-Connect) and follow industry best practices for memory efficiency.
- [SAFE]: Database connection strings and API calls use generic placeholders (e.g., 'user:pass@host/db') rather than hardcoded credentials.
- [SAFE]: No obfuscation, malicious remote code execution, or data exfiltration patterns were identified.
Audit Metadata