harvard-artifacts-etl-streamlit-analytics
Pass
Audited by Gen Agent Trust Hub on Jun 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational boilerplate for a data engineering project using industry-standard libraries.
- [EXTERNAL_DOWNLOADS]: The instructions guide users to download a project repository from GitHub and install standard Python dependencies.
- [DATA_EXFILTRATION]: Network requests are directed to the official Harvard Art Museums API, a well-known institution.
- [CREDENTIALS_UNSAFE]: The documentation correctly encourages secure credential management using environment variables rather than hardcoded secrets.
Audit Metadata