julia-scientific
Pass
Audited by Gen Agent Trust Hub on Jun 21, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: The skill primarily serves as documentation, mapping established Python scientific libraries to their Julia counterparts without introducing malicious instructions or hidden behaviors.
- [DATA_EXPOSURE]: Provides a functional code example for integrating with the Mathpix API to perform OCR. The script reads a local image file and transmits it via HTTP POST to
https://api.mathpix.com/v3/text. This is a standard integration with a well-known scientific service and uses appropriate parameterization for credentials. - [REMOTE_CODE]: The skill references a large number of packages from established scientific organizations including BioJulia, FluxML, and SciML. It provides commands for installing these via the official Julia package manager (
Pkg). - [DYNAMIC_EXECUTION]: Includes shell command examples that utilize the
julia -eflag to execute package management tasks directly from the command line, which is standard practice for setting up Julia environments.
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