kdit-performance

kdit-performance is a Runtime diagnostics & profiling skill for AI agents, published by Tencent in the KsanaDiT repository on GitHub. Skillspace rates kdit-performance D (62/100) and it passed the safety scan; the rating is based on static analysis only.

kDiT 性能调优专家：GPU OOM 排查、推理延迟分析、tensor 内存优化、分布式通信瓶颈诊断。 针对视频生成推理框架的特有性能问题，提供系统化的 profiling → 分析 → 优化 → 验证流程。 关键词：performance、性能、OOM、内存、GPU、延迟、profiling、优化、throughput。

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
61

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 GitHubTencent/KsanaDiT

Our review

Architecture
78 / 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

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