mesh-analysis

mesh-analysis is a skill for Claude Code, Codex from benchflow-ai/skillsbench. It costs 43 tokens per session (520 once invoked), scanned A, original, Apache-2.0.

A tool for examining STL files, a common format for 3D models. It can measure the model’s volume, identify connected parts, and read material information stored in the file.

In plain words
What is it for?
Use it to analyze noisy 3D scans, keep the largest connected mesh component, extract material IDs, and obtain volume for mass calculations.
Why use it?
It helps separate the main object from unwanted scan debris and provides geometric details for further calculations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze noisy 3D scans, keep the largest connected mesh component, extract material IDs, and obtain volume for mass calculations.

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Install with agentmods
npx agentmods add skills/benchflow-ai/skillsbench/mesh-analysis
About the project

SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.

benchflow-ai/skillsbench · 1,748 stars · on GitHub · skillsbench.ai

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 benchflow-ai/skillsbench --skill mesh-analysis
Clone the repo
git clone --depth 1 https://github.com/benchflow-ai/skillsbench

Made for: Claude Code, 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 mesh-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/mesh-analysis.svg)](https://agentmods.dev/skills/benchflow-ai/skillsbench/mesh-analysis)
Your own site
<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/mesh-analysis"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/mesh-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 520 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00043 $0.00520
Opus 5 $0.00022 $0.00260
Sonnet 5 $0.00009 $0.00104
Haiku 4.5 $0.00004 $0.00052

Measured 7d ago against content hash b0c908a5e74b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

mesh-analysis 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/mesh_tool.py), 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

tasks/3d-scan-calc/environment/skills/mesh-analysis/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

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).

Read the full file on GitHub · 60 lines

Files

What ships with it

1 file 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. 7d ago First seen · 60 lines · 43 tokens per session scan A b0c908a5e74b

Subscribe to this mod's changes

mesh-analysis is a skill published in the GitHub repository benchflow-ai/skillsbench (1,748 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 520 once invoked, about $0.0002 per session on Opus 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.