data-engineering-data-pipeline
Pass
Audited by Gen Agent Trust Hub on Apr 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional content and best-practice templates for data engineering workflows.
- [COMMAND_EXECUTION]: The skill mentions the use of common orchestration and processing frameworks (Airflow, Prefect, Spark, dbt) which are relevant to the domain and do not indicate malicious intent.
- [PROMPT_INJECTION]: The skill describes handling external data from databases and streams (Category 8 surface). It mitigates potential risks by explicitly instructing on the implementation of schema validation, data cleaning, and quality frameworks like Great Expectations.
- [CREDENTIALS_UNSAFE]: Example code uses a generic placeholder connection string (
postgresql://host:5432/db) and S3 paths (s3://lake) for demonstration purposes, with no real secrets or sensitive data exposed.
Audit Metadata