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.
npx skills add marcinfinitesimal533/Claude-skills-for-Computational-Designers --skill mesh-processinggit clone --depth 1 https://github.com/marcinfinitesimal533/Claude-skills-for-Computational-DesignersWrote 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.
[](https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/mesh-processing)<a href="https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/mesh-processing"><img src="https://agentmods.dev/badge/skills/marcinfinitesimal533/claude-skills-for-computational-designers/mesh-processing/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.
<a href="https://agentmods.dev/skills/marcinfinitesimal533/claude-skills-for-computational-designers/mesh-processing"><img src="https://agentmods.dev/badge/skills/marcinfinitesimal533/claude-skills-for-computational-designers/mesh-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.11713 |
| Opus 5 | $0.00019 | $0.05856 |
| Sonnet 5 | $0.00008 | $0.02343 |
| Haiku 4.5 | $0.00004 | $0.01171 |
Grade A, and why
mesh-processing 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 11d ago.
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.
This is a copy
100% identical to mesh-processing — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 893 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mesh Processing
This skill provides comprehensive guidance on mesh processing for architecture, engineering, and construction. Meshes are the workhorse representation for simulation (FEA, CFD, acoustics), fabrication (3D printing, CNC), visualization (rendering, VR/AR), and increasingly for design geometry itself. This reference covers data structures, operations, analysis, repair, UV mapping, quad meshing, and reverse engineering.
1. Mesh Processing in AEC
1.1 Why Meshes Matter
Meshes represent 3D geometry as collections of vertices, edges, and faces. In AEC:
- Simulation: Finite Element Analysis (structural), Computational Fluid Dynamics (wind/airflow), thermal simulation, acoustic simulation, and daylight simulation all require mesh discretization of geometry. The mesh quality directly determines simulation accuracy.
- Visualization: Real-time rendering (game engines, VR/AR) operates on triangulated meshes. Level-of-detail mesh decimation controls rendering performance.
- Fabrication: 3D printing requires watertight triangulated meshes (STL/3MF). CNC milling requires surface meshes for toolpath generation. Robotic fabrication uses mesh representations for collision checking and path planning.
- Scanning: LiDAR, photogrammetry, and structured light scanning produce point clouds that are reconstructed into meshes. Scan-to-BIM workflows begin with mesh processing.
- Design: Freeform architectural surfaces (shells, facades, roofs) are often designed as meshes, particularly when the target is a panelized or discrete structure.
1.2 Mesh vs. NURBS Trade-offs
| Dimension | Mesh | NURBS |
|---|---|---|
| Representation | Discrete vertices + faces | Continuous parametric surface |
| Precision | Approximate (chord tolerance) | Mathematically exact |
| Topology | Arbitrary (any connectivity) | Rectangular patch structure |
| Boolean operations | Robust (with good libraries) | Fragile (trimmed surface issues) |
| Simulation compatibility | Direct (FEA/CFD mesh = geometry mesh) | Requires meshing step |
| File size (complex forms) | Smaller (for tessellated freeform) | Larger (many control points) |
| Editing | Vertex-level sculpting, subdivision | Control point manipulation, continuity |
| Rendering | Direct (GPU operates on triangles) | Requires tessellation |
| Fabrication (3D print) | Direct (STL is triangulated mesh) | Requires tessellation |
| Industry standard | Visualization, gaming, scanning | CAD, BIM, manufacturing |
What ships with it
2 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.
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.
- 11d ago First seen · 893 lines · 38 tokens per session scan A e23d0a689026
mesh-processing is a skill published in the GitHub repository marcinfinitesimal533/Claude-skills-for-Computational-Designers (2 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 11,713 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mesh-processing, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
mesh-processing
Mesh data structures, mesh operations, mesh analysis, mesh repair, UV mapping and unfolding, quad meshing, mesh-to-NURBS conversion, and mesh quality assessment for AEC computational design.
computational-geometry
NURBS curves and surfaces, mesh geometry, boolean operations, subdivision surfaces, tessellation methods, surface analysis, and point cloud processing for AEC computational design.
optimization-methods
Genetic algorithms, simulated annealing, particle swarm optimization, gradient-based methods, topology optimization, shape optimization, size optimization, and benchmark problems for AEC computational design.
cd-calculator
Python calculators for geometry analysis, structural checking, solar calculations, panel optimization, mesh analysis, material estimation, and fabrication cost estimation for AEC computational design.
pyvista
3D visualization and mesh analysis for geoscience data using PyVista/VTK. Use when Claude needs to: (1) Create 3D visualizations of geological models, (2) Render seismic volumes or voxel data, (3) Visualize point clouds or well paths, (4) Plot surfaces and meshes in 3D, (5) Read/write VTK, STL, OBJ files, (6) Create…
topological-data-analysis
Apply persistent homology, Betti numbers, and mapper graphs to extract topological features from complex datasets.