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mesh-analysis

Computes STL mesh volume and identifies largest connected component from Python.

Updated Jan 15, 2026
Search Tags:#component#geometry#mesh#volume#stl#3d-printing
One-click install
npx skills add https://github.com/KaiserWhoLearns/skillsbench --skill mesh-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mesh-analysis
Source: https://github.com/KaiserWhoLearns/skillsbench/tree/main/tasks/3d-scan-calc/environment/skills/mesh-analysis
Command: npx skills add https://github.com/KaiserWhoLearns/skillsbench --skill mesh-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Analyzes 3D STL mesh data to compute volumes, identify the largest connected component, and extract per-triangle metadata such as material IDs.

Core Features & Use Cases

  • Geometric analysis: Compute the volume of complex or noisy STL meshes and validate part dimensions.
  • Noise filtering: Isolate the largest connected component from scan data to recover the main part.
  • Attribute extraction: Read per-triangle attributes (e.g., material IDs) stored in binary STL files for downstream processing.

Quick Start

Run the MeshAnalyzer on a binary or ASCII STL file to obtain the main part volume and material metadata.

Frequently Asked Questions about mesh-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compute the volume of an STL mesh for 3D printing validation?▼

To compute STL mesh volume, run the analyzer on binary or ASCII files to calculate geometric volumes and validate part dimensions for 3D printing quality assurance. This isolates the main part and extracts per-triangle metadata.

How do I isolate the largest connected component from noisy 3D scan data?▼

Isolating the largest connected component from noisy scan data involves running the mesh analyzer to filter out disconnected noise and recover the primary 3D geometry. This successfully cleans the STL mesh for downstream processing.

Can I extract per-triangle material IDs from binary STL files?▼

Yes, you can extract per-triangle material IDs from binary STL files using a Python parser that handles optional attribute IDs. This reads the metadata stored in the file for downstream processing requirements.

Does the STL mesh analyzer work with both ASCII and binary formats?▼

The STL mesh analyzer works with both ASCII and binary formats by utilizing a Python-based parser. It processes both file types to compute volumes and extract per-triangle attributes.

What is the best way to clean up noisy STL scan data?▼

The best way to clean up noisy STL scan data is to identify the largest connected component, filtering out isolated noise. This recovers the main part geometry for accurate volume computation and 3D printing preparation.

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