nsys-ai

nsys-ai is a Runtime diagnostics & profiling skill for AI agents, published by GindaChen in the nsys-ai repository on GitHub. Skillspace rates nsys-ai D (66/100) and it passed the safety scan; the rating is based on static analysis only.

GPU performance analysis for NVIDIA Nsight Systems profiles (.sqlite or .nsys-rep files). Activates when the user opens a .sqlite/.nsys-rep profile, asks about GPU bottlenecks, mentions NCCL / distributed slowdown, asks for MFU / efficiency, wants to compare two runs, mentions CUTracer / SASS, asks about variance / spikes, or types /nsys-ai, /nsys-analyze, /gpu-profile, /profile-analysis.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
65

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 GitHubGindaChen/nsys-ai

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
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

Better-rated skills in Runtime diagnostics & profiling

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