dag-factory
Pass
Audited by Gen Agent Trust Hub on Apr 27, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill instructions and reference materials align with the legitimate purpose of the dag-factory library for Apache Airflow.
- [EXTERNAL_DOWNLOADS]: Fetches and installs the dag-factory package from PyPI and references official documentation and source code on GitHub. These are trusted sources within the data engineering community.
- [COMMAND_EXECUTION]: Describes the use of BashOperator and PythonOperator within Airflow DAGs. These are standard features for task execution and are used here for their intended purpose of running defined data pipelines.
- [DATA_EXPOSURE]: Does not contain hardcoded credentials or instructions that would lead to unauthorized data exposure. It recommends standard practices like using requirements.txt for dependency management.
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