pytorch-profile-analysis

pytorch-profile-analysis is a Runtime diagnostics & profiling skill for AI agents, published by lucifer1004 in the VeloQ repository on GitHub. Skillspace rates pytorch-profile-analysis D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze single-file PyTorch/Kineto `.pt.trace.json(.gz)` Chrome traces using the VeloQ CLI. Use for CPU/CUDA/kernel correlation, ProfilerStep/annotation slicing, memory/shape grouping, and single-trace NCCL evidence.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
105

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 GitHublucifer1004/VeloQ

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
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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