ascend-moe-optimizer-auto-trace

ascend-moe-optimizer-auto-trace is a Runtime diagnostics & profiling skill for AI agents, published by openJiuwen-ai in the jiuwenswarm repository on GitHub. Skillspace rates ascend-moe-optimizer-auto-trace D (60/100) and it passed the safety scan; the rating is based on static analysis only.

为昇腾算子在源码中接入 TRACE_POINT 与 MoeTracing，串通 trace_preprocessor、profiling tensor、point_map.json、 save_profiling_data 与 trace_collector 生成 Chrome trace。强调门禁 G1–G5：全链路预处理与 OPP、profiling 为数据输出最后一位、 整条编译与示例脚本联调、落盘路径在 spawn 前 resolve。遵循函数级粒度与就地扩展，禁止另注册 xxx_profiling 类第二入口， 保持原 Op 与 torch.ops 名称及签名不变。在用户提到算子打点、Profiling、Chrome trace、MoeTracing，或将结论写入本 skill 时读取。

Grade
D
Quality
60 / 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
70 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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

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Also published in 1 other repo

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