ascend-communication-analysis

ascend-communication-analysis is a Runtime diagnostics & profiling skill for AI agents, published by kali20gakki in the msAgent repository on GitHub. Skillspace rates ascend-communication-analysis C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze Ascend NPU collective communication profiling data with a DB-first workflow. Use when the user provides `cluster_analysis_output/cluster_analysis.db`, rank-level `analysis.db`, rank-level `ascend_pytorch_profiler_{rank_id}.db`, together with `profiler_info.json`, and asks about HCCL or hcom communication cost, collective communication TOP ops, wait time, slow rank/straggler, Notify Wait, bandwidth, retry, relay, SDMA/RDMA/HCCS links, communication matrix, or Ascend communication fault patterns.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
30

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 GitHubkali20gakki/msAgent

Our review

Architecture
96 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MulanPSL-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

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