deepchecks-tests
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and Python code snippets for using the
deepcheckslibrary. The instructions follow standard data science practices for model evaluation and data validation. - [EXTERNAL_DOWNLOADS]: The skill recommends installing the
deepcheckspackage via pip, which is a standard and well-known open-source library for ML testing. The documentation links to the official project domain atdocs.deepchecks.com. - [COMMAND_EXECUTION]: The skill includes a basic pip installation command and a GitHub Actions CI example. These are standard development tasks and do not represent a security risk.
Audit Metadata