ascend-moe-optimizer-trace-analyzer

ascend-moe-optimizer-trace-analyzer is a Runtime diagnostics & profiling skill for AI agents, published by openJiuwen-ai in the jiuwenswarm repository on GitHub. Skillspace rates ascend-moe-optimizer-trace-analyzer C (71/100) and it passed the safety scan; the rating is based on static analysis only.

在用户提供 Chrome/Perfetto trace.json、或排查 Ascend 上 MoE/FusedDeepMoe 等算子性能时使用。按 phase、category、core group、tid 统计耗时、overlap、bubble，输出 CSV、Markdown 报告与确定性诊断；可选外部 LLM 扩写分析。默认 phase 映射面向 UMDK FusedDeepMoe，其它 trace 需替换或扩展 config/phase_map.yaml。

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
1,177

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.

View source on GitHubopenJiuwen-ai/jiuwenswarm

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked 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

More Runtime diagnostics & profiling skills

Also published in 1 other repo

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.