Mesh Analysis logo

Mesh Analysis

OrganizationPopular
benchflow-ai
mesh-analysis

Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.

Overview

Publisherbenchflow-ai
Repositoryskillsbench
Skill namemesh-analysis
Stars
1.8K
Forks
367
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by benchflow-ai on GitHub. Read the source before you install it.

Installation

Install the Mesh Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git /tmp/skillsbench
mkdir -p .claude/skills
cp -r /tmp/skillsbench/tasks/3d-scan-calc/environment/skills/mesh-analysis .claude/skills/mesh-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mesh Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mesh Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mesh Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Mesh Analysis

This skill provides the MeshAnalyzer tool for robustly processing 3D STL files. It handles Binary STL parsing and connected component analysis.

When to Use

Use this skill for:

  1. Geometric Analysis: Calculating volume of complex or noisy meshes.
  2. Noise Filtering: Isolating the largest connected component from "dirty" scan data.
  3. Attribute Extraction: Extracting metadata (e.g. material IDs) stored in the STL file attribute bytes.

Usage

The tool is provided as a Python module in the scripts/ directory.

Basic Workflow

python
import sys
# Add skill path to sys.path
sys.path.append('/root/.claude/skills/mesh-analysis/scripts')

from mesh_tool import MeshAnalyzer

# Initialize with file path
analyzer = MeshAnalyzer('/path/to/your/file.stl')

# Analyze specific components
# Automatically identifies the largest component (main part)
report = analyzer.analyze_largest_component()

volume = report['main_part_volume']
mat_id = report['main_part_material_id']

print(f"Volume: {volume}")
print(f"Material ID: {mat_id}")

Calculating Mass

The tool provides the Volume and Material ID. To calculate Mass:

  1. Read the Material ID from the analysis report.
  2. Consult your provided material reference data (e.g. density tables) to find the density.
  3. Calculate: Mass = Volume * Density.

Critical Note on Units:

  • The Volume returned is in the same units as the STL file's coordinates (cubed).
  • Do not assume millimeters or inches. Check your task instructions for the coordinate system units (e.g., if coordinates are in cm, volume is in cm³).
  • If your density table uses the same unit (e.g., g/cm³ and cm³), multiply directly. No unit conversion is needed.

Critical Notes

  • Binary Support: The tool automatically handles Binary STL files.
  • Attribute extraction: The tool extracts the 2-byte attribute stored in the binary STL format (often used for color or material ID).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mesh Analysis AI skill do?

Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.

Why use Mesh Analysis on TypingMind?

Because you install it once and use it with any model. Mesh Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mesh Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benchflow-ai/skillsbench/tree/main/tasks/3d-scan-calc/environment/skills/mesh-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mesh Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mesh Analysis?

As many as you like. As long as a model supports skills, you can use Mesh Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mesh Analysis AI skill free?

Yes. It is published on GitHub by benchflow-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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