data-engineering-data-pipeline
Pass
Audited by Gen Agent Trust Hub on Mar 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional templates and best practices for building data pipelines using industry-standard tools. No malicious behaviors, such as unauthorized network access or credential theft, were identified.
- [PROMPT_INJECTION]: The skill processes user-provided requirements through the $ARGUMENTS variable to generate technical documentation and code. This creates a potential surface for indirect prompt injection where malicious input could attempt to influence the logic of the generated code.
- Ingestion points: User requirements provided via the $ARGUMENTS placeholder in SKILL.md.
- Boundary markers: None specified in the instructions to separate user input from the system prompt.
- Capability inventory: The skill generates code for various tools including Airflow, Prefect, Spark, and dbt, and provides architecture designs for storage solutions like Delta Lake and Iceberg.
- Sanitization: No explicit sanitization or validation of user-provided requirements is described in the skill logic.
Audit Metadata