hpc-gmsh

hpc-gmsh is a Physics, mathematics & simulation skill for AI agents, published by SciMate-AI in the HPC-Skills repository on GitHub. Skillspace rates hpc-gmsh B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Build, review, debug, and automate Gmsh geometry and meshing workflows. Use when working with `.geo` scripts, the Gmsh Python API, GEO versus OpenCASCADE modeling, physical groups, mesh-size fields, transfinite or recombine options, boundary layers, structured/unstructured algorithm selection, mesh partitioning, periodic meshes, high-order elements, mesh export and solver handoff (FEniCS, OpenFOAM, Elmer, SU2, etc.), CAD/STL import, or Gmsh CLI and meshing failures.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
66

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubSciMate-AI/HPC-Skills

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

More Physics, mathematics & simulation skills

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