harvard-artifacts-data-engineering-app
Pass
Audited by Gen Agent Trust Hub on May 28, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: Fetches project source code from a GitHub repository and installs required Python packages from standard registries.
- [COMMAND_EXECUTION]: Provides shell commands for environment setup, database schema creation, and launching the Streamlit analytics application.
- [SAFE]: Demonstrates secure development practices by recommending the use of environment variables (.env) for API keys and database credentials.
- [SAFE]: The ETL pipeline code uses parameterized database queries, mitigating the risk of injection when processing external museum artifact data.
Audit Metadata