datacommons-client
Pass
Audited by Gen Agent Trust Hub on Apr 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill integrates with the Data Commons platform to provide access to public statistical datasets. All referenced documentation and code examples align with this purpose.
- [SAFE]: External dependencies are restricted to the
datacommons-client,pandas, andmatplotlibpackages, which are standard tools for data analysis and API interaction. - [SAFE]: Authentication instructions for the Data Commons API follow security best practices by recommending the use of environment variables (
DC_API_KEY) to manage secrets instead of hardcoding them. - [SAFE]: All network operations are directed towards official Data Commons domains (
datacommons.org) and their public GitHub repository, which are established and legitimate services. - [SAFE]: The skill provides clear guidance on handling ambiguous entities and checking data availability, which helps prevent logic errors and ensures reliable data retrieval.
Audit Metadata