enterprise-data-engineering-pipeline-ssis-pyspark
Pass
Audited by Gen Agent Trust Hub on May 25, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references standard Python packages (pandas, sqlalchemy, pyodbc, pyspark, matplotlib) and the official Microsoft JDBC driver for SQL Server. These are well-known, trusted resources within the data engineering community.
- [COMMAND_EXECUTION]: The skill uses
subprocess.runto orchestrate ETL tasks, such as executingdtexecfor SSIS packages and running local Python scripts. These commands are localized to the user's project environment and serve the primary purpose of the pipeline orchestration. - [CREDENTIALS_UNSAFE]: The skill correctly advises the use of environment variables and
.envfiles for managing database credentials (SQL_USER,SQL_PASSWORD), which is a recommended security best practice for managing secrets.
Audit Metadata