nemo-mbridge-perf-moe-dispatcher-selection
nemo-mbridge-perf-moe-dispatcher-selection is a Local & open models skill for AI agents, published by NVIDIA-NeMo in the Megatron-Bridge repository on GitHub. Skillspace rates nemo-mbridge-perf-moe-dispatcher-selection D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Select and validate an MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for a fixed workload and runtime. Covers backend availability, topology, matched A/B evidence, routing semantics, and failure diagnosis. Use when choosing a dispatcher or tracing a regression or crash to the MoE dispatcher configuration.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 909
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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