nsys_profile

nsys_profile is a Runtime diagnostics & profiling skill for AI agents, published by NVIDIA-BioNeMo in the boltz-cp repository on GitHub. Skillspace rates nsys_profile F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Profile a context-parallel (CP) inference (or training) workflow with NVIDIA Nsight Systems (nsys). Locates or installs the nsys binary, mocks random features + small Glorot-init weights (or loads a real checkpoint), wraps the end-to-end forward in a torchrun launcher, runs nsys with the right CLI options (cuda/nvtx trace, --pytorch functions-trace/autograd, cudabacktrace, python-backtrace), and auto-annotates high-level module names (TriMul, Pairformer, trunk, diffusion, MSA) via a custom --python-functions-trace JSON — then reads the kernel/NVTX breakdown (Cannon-ring SendRecv vs GEMM, trunk vs diffusion vs confidence). Use once a CP workflow runs end-to-end and you need to see where GPU time and communication go.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
51

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.

View source on GitHubNVIDIA-BioNeMo/boltz-cp

Our review

Architecture
79 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • dynamic code execution (eval/exec)
  • 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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