assuring-data-pipelines
Pass
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references standard Python libraries (Great Expectations, Pandera, OpenTelemetry, Prometheus) for data pipeline monitoring and validation. All packages are retrieved from standard registries.\n- [DATA_EXFILTRATION]: Tracing and metrics collection is demonstrated using localhost endpoints (localhost:4317) and local HTTP servers (port 8000), following standard developer practices for monitoring.\n- [INDIRECT_PROMPT_INJECTION]: The skill ingests external data from Parquet files and Kafka streams. However, it explicitly implements validation logic (SchemaError handling, range checks) using Pandera and Great Expectations to ensure data integrity.\n- [COMMAND_EXECUTION]: Code examples include benign shell commands for package installation and local service interaction (Prefect/Dagster).
Audit Metadata