nvalchemi-distributed
Pass
Audited by Gen Agent Trust Hub on Aug 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate instructional content for the nvalchemi library, covering domain decomposition strategies and multi-GPU simulation scaling.
- [SAFE]: Code snippets use standard PyTorch and nvalchemi APIs for distributed computing (e.g., DistributedManager, DomainParallel). Use of
torchrunandSLURMis expected for high-performance computing environments. - [SAFE]: Model loading via
MACEWrapper.from_checkpointrefers to standard model identifiers. No suspicious external URLs or untrusted remote code execution patterns were found. - [SAFE]: No evidence of prompt injection, obfuscation, or unauthorized access to sensitive files (e.g., SSH keys, credentials) was detected.
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