data-engineering-data-pipeline
Pass
Audited by Gen Agent Trust Hub on Apr 1, 2026
Risk Level: SAFE
Full Analysis
- [DATA_EXPOSURE]: The skill uses safe placeholders for connection strings (e.g., 'postgresql://host:5432/db') and storage paths (e.g., 's3://lake') in its examples, encouraging proper configuration rather than hardcoding credentials.
- [PROMPT_INJECTION]: The instructions are strictly limited to technical data engineering domains. There are no attempts to override agent behavior, bypass safety filters, or extract system prompts.
- [REMOTE_CODE_EXECUTION]: The skill does not download or execute remote scripts. It references well-known open-source frameworks such as Apache Airflow, dbt, and Great Expectations which are standard in the industry.
- [COMMAND_EXECUTION]: The provided Python snippets demonstrate local data processing and storage operations using standard data engineering libraries. No arbitrary shell command execution or privilege escalation patterns were found.
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