What is meshy-3d-printing?

A workflow for creating and preparing Meshy AI 3D models for printing. Meshy AI is a service that generates 3D assets from inputs such as text or images.

Use it to generate models, prepare single-color or multicolor prints, fix model files for slicers, and open them in an installed slicer.

It brings model generation, file downloads, print preparation, and slicer handoff into one process.

meshy-3d-printing — Skill for Claude Code by meshy-dev

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 meshy-dev/meshy-3d-agent --skill meshy-3d-printing

Clone the repo

git clone --depth 1 https://github.com/meshy-dev/meshy-3d-agent

Made for: Claude Code.

Or install meshy-3d-agent, the plugin that ships this one along with the rest of its 3 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing/github.svg)](https://agentmods.dev/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing)

Your own site

<a href="https://agentmods.dev/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing"><img src="https://agentmods.dev/badge/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing"><img src="https://agentmods.dev/badge/skills/meshy-dev/meshy-3d-agent/meshy-3d-printing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,498 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

Socket pass 9 May 2026
Snyk pass 9 May 2026
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.

Model	Per session	Once invoked
Fable 5.1	$0.00155	$0.02498
Opus 5	$0.00077	$0.01249
Sonnet 5	$0.00031	$0.00500
Haiku 4.5	$0.00015	$0.00250

Measured 10d ago against content hash b27a8d6e9650, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

meshy-3d-printing 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 10d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/fix_obj.py, scripts/meshy_task.py, scripts/slicers.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.

skills/meshy-3d-printing/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meshy 3D Printing

Prepare and send Meshy-generated 3D models to a slicer for 3D printing. Supports white model (single-color) and multicolor printing workflows with automatic slicer detection.

Prerequisite: This skill bundles the same scripts/meshy_task.py CLI as meshy-3d-generation and shares its environment setup (API key detection, .env, Python requests). However, when the user wants to 3D print, this skill controls the entire workflow — including generation, format selection, downloading, and slicer integration. Do NOT run meshy-3d-generation's workflow first and then hand off here — this skill must control parameters from the start (e.g. target_formats with "3mf" for multicolor).

All paths below are relative to this skill's own directory (the directory containing this SKILL.md). Resolve them before running.

Resource	When to use
`scripts/meshy_task.py`	Bundled CLI for every Meshy API call (create / poll / download / record / …)
`scripts/slicers.py`	Detect installed slicers; open a model file in a slicer
`scripts/fix_obj.py`	Fix OBJ coordinate system, scale, and origin for slicers (white model pipeline)
reference.md	Full API reference (incl. print/analyze, print/repair, multi-color, Creative Lab)
references/printing.md	Full pipeline walkthroughs: slicer detection, analyze/repair, white model, multicolor, Creative Lab

Environment check (same as the generation skill): python3 scripts/meshy_task.py check-env. If no key is found, follow the generation skill's references/setup.md (in the sibling meshy-3d-generation skill directory).

Security & Data Handling

API key (MESHY_API_KEY) — sent only in the HTTP Authorization: Bearer header to https://api.meshy.ai. Never logged in full (only a key[:8]... prefix is ever printed). The bundled script never persists it; it is written to .env in the current working directory only when the user explicitly asks, and never to shell profiles, Windows user variables, or any path outside the working directory.
Key sources read — the current session environment, then .env / .env.local in the current working directory. Home directories and shell profiles are never scanned.
Network — the only external endpoint is https://api.meshy.ai. System proxies are bypassed (trust_env = False).
Filesystem writes — .env in the working directory (on explicit request only) and ./meshy_output/ for downloaded models, print-ready OBJ/3MF files, thumbnails, and metadata.
Local slicer launch — scripts/slicers.py detects already-installed slicers (known install paths + PATH lookup) and opens the generated model file in the slicer the user chooses. It launches only pre-existing local applications; it never downloads or installs software.
Data leaving the machine — the API key, user-provided text prompts, and image URLs/data go to api.meshy.ai only. No other local data is transmitted; downloaded assets are saved locally.

Read the full file on GitHub · 135 lines

Files

What ships with it

5 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.

10d ago First seen · 135 lines · 155 tokens per session scan A b27a8d6e9650

Subscribe to this mod's changes

meshy-3d-printing is a skill published in the GitHub repository meshy-dev/meshy-3d-agent (89 stars, last pushed 1mo ago), licensed MIT. It adds 155 tokens to every session and 2,498 once invoked, about $0.0008 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.

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