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hpc-gmsh

hpc-gmsh is a skill for Codex from SciMate-AI/HPC-Skills. It costs 119 tokens per session (2,242 once invoked), scanned A, original, MIT.

Guidance for creating and repairing Gmsh geometry and meshes. Gmsh is software that turns geometric descriptions into computational meshes used by engineering and scientific simulations.

In plain words
What is it for?
Use it for Gmsh scripts or Python API work, geometry operations, physical groups, mesh algorithms, size fields, boundary layers, structured meshes, and mesh partitioning.
Why use it?
It helps keep geometry modeling, mesh sizing, boundary labels, and export choices consistent so downstream simulation software receives the structure it expects.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 98repo +2 7mo ago A scan 119 tokens original MIT

Good fit Use it for Gmsh scripts or Python API work, geometry operations, physical groups, mesh algorithms, size fields, boundary layers, structured meshes, and mesh partitioning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/scimate-ai/hpc-skills/hpc-gmsh
View source ↗ SciMate-AI/HPC-Skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SciMate-AI/HPC-Skills --skill hpc-gmsh
Clone the repo
git clone --depth 1 https://github.com/SciMate-AI/HPC-Skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hpc-gmsh

README.md
[![agentmods](https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-gmsh/github.svg)](https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-gmsh)
Your own site
<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-gmsh"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-gmsh/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hpc-gmsh

Your own site · 80×15
<a href="https://agentmods.dev/skills/scimate-ai/hpc-skills/hpc-gmsh"><img src="https://agentmods.dev/badge/skills/scimate-ai/hpc-skills/hpc-gmsh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00119 $0.02242
Opus 5.5 $0.00048 $0.00897
Sonnet 5.5 $0.00024 $0.00448
Haiku 4.5 $0.00012 $0.00224

Measured 2mo ago against content hash 967e7df1b013, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hpc-gmsh scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 6 executable files (assets/templates/airfoil_bl_2d.py, assets/templates/gmsh-batch-mesh.sh, assets/templates/gmsh-mesh-slurm.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hpc-gmsh/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HPC Gmsh

Treat Gmsh as a geometry-plus-meshing stack. Choose the modeling kernel first, then make topology, sizing, and structured-meshing decisions explicit before exporting downstream.

Start

  1. Read references/modeling-kernels-and-geometry.md before creating or repairing a Gmsh model — covers GEO versus OpenCASCADE selection, boolean operations, extrusions, transformations, CAD/STL import, embedded and compound entities, synchronization rules.
  2. Read references/physical-groups-and-entity-tagging.md when solver handoff depends on boundary or region tags — covers export behavior, physical group stability after booleans, downstream solver requirements matrix.
  3. Read references/algorithm-selection-guide.md when choosing 2D or 3D meshing algorithms — covers MeshAdapt, Delaunay, Frontal-Delaunay, HXT, parallel meshing, optimization, element order, subdivision.
  4. Read references/mesh-size-and-field-control.md when choosing mesh sizes — covers the full size determination hierarchy, all field types (Distance, Threshold, Box, Ball, Cylinder, BoundaryLayer, MathEval, AutomaticMeshSizeField, etc.), combining fields, size callbacks.
  5. Read references/boundary-layer-and-refinement-recipes.md when boundary layers, distance-based refinement, or CFD-specific mesh recipes are needed — covers BL parameters, y+ estimation, fan points, wake refinement, complete 2D CFD recipe.
  6. Read references/transfinite-and-recombine-playbook.md when the mesh should be structured, swept, or recombined — covers TransfiniteCurve/Surface/Volume syntax with grading, Recombine, structured extrusion with Layers, periodic meshes, high-order, complete hex workflow.
  7. Read references/cli-and-python-api-playbook.md when choosing between .geo, CLI, and the Python API — covers complete CLI flag reference, Python API patterns for geometry, meshing, fields, partitioning, periodic meshes, CAD import.
  8. Read references/import-export-and-solver-handoff.md when importing CAD/STL or exporting meshes — covers all output formats, MSH4.1/MSH2 format details, element type table, downstream handoff recipes for FEniCS, OpenFOAM, Elmer, SU2, ABAQUS, Code_Aster, mesh partitioning.
  9. Read references/error-recovery.md when meshing or geometry construction fails — covers diagnostic commands, recovery decision tree, geometry/meshing failure recovery sequences, reporting template.
  10. Read references/error-pattern-dictionary.md for fast matching of specific Gmsh failure signatures — 14 patterns covering wrong kernel, missing physical groups, transfinite incompatibility, synchronize missing, boolean tag instability, 3D boundary recovery, negative Jacobians, periodic mismatch, and more.

Read the full file on GitHub · 119 lines

Files

What ships with it

19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 119 lines · 119 tokens per session scan A 967e7df1b013

Subscribe to this mod's changes

hpc-gmsh is a skill published in the GitHub repository SciMate-AI/HPC-Skills (98 stars, last pushed 7mo ago), licensed MIT. It adds 119 tokens to every session and 2,242 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Scientific
Related

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