hpc-usage

hpc-usage is an MLOps & model serving skill for AI agents, published by ChenAo-Phys in the quantax repository on GitHub. Skillspace rates hpc-usage C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Submit JAX and Quantax jobs to slurm GPU clusters. Use when running simulations on HPC - writing slurm scripts, setting up multi-node JAX, and submitting jobs.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
35

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.

Our review

Architecture
100 / 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

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