vaex-dataframes
Pass
Audited by Gen Agent Trust Hub on Jul 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security risks were detected. The skill is a standard technical guide for the Vaex DataFrame library.\n- [EXTERNAL_DOWNLOADS]: The skill instructs users to install established, well-known technology packages including the Vaex ecosystem (vaex, vaex-hdf5, vaex-arrow, vaex-ml, vaex-viz, vaex-jupyter), cloud storage drivers (s3fs, gcsfs, adlfs), and standard data science libraries (numpy, pandas, pyarrow, scikit-learn, xgboost, lightgbm, catboost, numba, matplotlib, plotly, seaborn).\n- [CREDENTIALS_UNSAFE]: Examples demonstrating connections to cloud storage (AWS S3, Google GCS, Azure) and SQL databases use standard placeholders (e.g., 'AKIA...', 'wJal...', 'user:pass', '/path/to/keyfile.json') rather than exposing real secrets.\n- [COMMAND_EXECUTION]: The skill uses standard shell commands for environment configuration, such as library installation via pip and setting thread count environment variables.
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