dask
Pass
Audited by Gen Agent Trust Hub on May 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructional content and code examples for using the Dask library for parallel and distributed computing. Analysis of the instructions and scripts shows they adhere to standard practices without any malicious intent.
- [SAFE]: No unauthorized data exfiltration or credential harvesting patterns were detected. Code snippets for reading data (CSV, Parquet, JSON) and connecting to clusters are provided as generic templates for legitimate data science workflows.
- [SAFE]: The skill does not include any prompt injection attempts, persistence mechanisms, or privilege escalation tactics. All reference files provide strictly educational and functional guidance on Dask operations and performance optimization.
- [SAFE]: Dependencies mentioned (such as dask, pandas, numpy, and xarray) are well-known, industry-standard libraries for data processing and scientific computing.
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