harvard-artifacts-data-engineering-analytics
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [COMMAND_EXECUTION]: The skill provides standard installation and execution commands for a local development environment.
- Instructions include
git clone,pip install -r requirements.txt, andstreamlit run app.py. - These are routine commands for setting up a Streamlit-based data engineering project.
- [EXTERNAL_DOWNLOADS]: The skill references an external GitHub repository for the project code.
- It directs the user to clone
https://github.com/Manali0711/Harvard-Artifacts-Collection-Data-Engineering-Analytics-App.git. - The repository target is consistent with the skill's stated purpose of providing a museum artifact analytics application.
- [CREDENTIALS_SAFE]: The skill follows security best practices for credential management.
- It instructs the user to use
exportcommands forHARVARD_API_KEY,DB_PASSWORD, and other sensitive configurations rather than hardcoding them. - The code examples correctly use
os.getenv()to retrieve these secrets from the environment at runtime.
Audit Metadata