nemo-mbridge-perf-moe-optimization-workflow
nemo-mbridge-perf-moe-optimization-workflow is a Model training & evaluation skill for AI agents, published by NVIDIA-NeMo in the Megatron-Bridge repository on GitHub. Skillspace rates nemo-mbridge-perf-moe-optimization-workflow D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation. Use for full MoE throughput tuning or diagnosing a regression involving memory, communication, compute, or host/launch overhead.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 909
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.