nemo-mbridge-perf-moe-optimization-workflow
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and workflow instructions for optimizing MoE model training. It outlines strategies for memory feasibility, scaling, and profiling without introducing executable code or malicious commands.
- [SAFE]: No instances of prompt injection, data exfiltration, or obfuscation were found. The technical flags mentioned (e.g.,
--fake-init-process-group,--expert-model-parallel-size) are standard configuration parameters for large-scale distributed training frameworks. - [SAFE]: External references are limited to legitimate academic research (arXiv.org) and official vendor documentation (nvidia.com).
Audit Metadata