ml-data-pipeline-architecture
Pass
Audited by Gen Agent Trust Hub on May 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses safe, generic placeholders for database connection strings (e.g., 'clickhouse://user:pass@host/db') and standard environment variable patterns, ensuring no credentials are hardcoded.- [PROMPT_INJECTION]: The skill defines patterns for processing data from ClickHouse and Parquet files, creating a surface for indirect prompt injection. Mandatory evidence chain: (1) Ingestion points are the data loading functions like client.query_arrow and pl.scan_parquet; (2) Boundary markers for prompt isolation are not explicitly defined; (3) Capability inventory includes file management via Read, Grep, and Glob; (4) Sanitization is addressed via the included instructions for Pydantic and schema validation functions.- [COMMAND_EXECUTION]: The skill includes instructions for the agent to modify its own 'SKILL.md' and 'evolution-log.md' files. This 'self-evolving' behavior is a documented design feature intended for maintaining architectural accuracy and logging performance improvements.
Audit Metadata