airflow-dag-patterns
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard Python code examples for Apache Airflow, including the use of TaskFlow API, PythonOperator, and sensors. The code follows idiomatic Airflow development patterns.
- [DYNAMIC_EXECUTION]: The skill demonstrates 'Dynamic DAG Generation' using the
globals()dictionary to register DAG objects. This is a standard and documented practice in Apache Airflow for dynamically creating workflows from configuration files and does not present a security risk in this context. - [INDIRECT_PROMPT_INJECTION]: The provided code templates include data ingestion points such as
pd.read_csvfor S3 andrequests.getfor API health checks. While these represent surfaces where external data enters a pipeline, they are presented as standard educational examples for building data orchestration workflows.
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