ray-data
Pass
Audited by Gen Agent Trust Hub on Mar 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a legitimate documentation resource for the Ray Data library. All code examples demonstrate standard data engineering and machine learning workflows, such as reading from cloud storage (S3/GS), applying transformations via map/filter operations, and integrating with common frameworks like PyTorch and TensorFlow.
- [EXTERNAL_DOWNLOADS]: The skill references standard, well-known libraries (ray[data], pyarrow, pandas, torch) and provides the official installation command for the Ray framework. These are established tools in the data science ecosystem.
- [DATA_EXFILTRATION]: While the skill demonstrates reading from and writing to cloud storage (S3/GCS), these operations are restricted to the context of distributed data processing as intended by the library. No unauthorized network calls or hardcoded credentials were found.
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