3daistudio_skill: Instructions file for Claude Code

CLAUDE.md

3daistudio_skill CLAUDE.md is an instructions file for Claude Code from whale-professor/3daistudio_skill. It costs 595 tokens per session, scanned A, original, MIT.

Instructions and a command-line tool for using 3D AI Studio, a service that generates 3D models from text prompts or images. It includes commands for checking credits, starting generation, checking a task, and downloading a finished GLB model.

In plain words
What is it for?
Use it to check the service's credit balance, create a 3D model from a description or image, monitor generation, and download the result.
Why use it?
It explains how to connect the service with an API key and how to retrieve generated 3D files. It also distinguishes between text-to-3D and image-to-3D workflows.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is whale-professor/3daistudio_skill's own configuration. It tells Claude Code how to work on 3daistudio_skill itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything 3daistudio_skill configures →

Reuse

Borrowing it

Nothing to install: this file belongs to whale-professor/3daistudio_skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/whale-professor/3daistudio_skill/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/whale-professor/3daistudio_skill

Made for: Claude Code.

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Per session 595 This file is loaded in full into every session.
When invoked 595 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00595 $0.00595
Opus 5 $0.00298 $0.00298
Sonnet 5 $0.00119 $0.00119
Haiku 4.5 $0.00060 $0.00060

Measured 9d ago against content hash 55a6ba7b1e28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

3daistudio_skill CLAUDE.md 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 9d 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.

CLAUDE.md · 66 lines

What it actually says

3D AI Studio — Claude Instructions

You have access to the 3D AI Studio API for generating 3D models from text prompts or images.

Setup

The API key must be set as an environment variable:

THREE_D_AI_STUDIO_API_KEY=your-key-here

Get a key at: https://www.3daistudio.com/Platform/API

How to Use (CLI)

Run 3daistudio.py directly:

# Check credits
python 3daistudio.py balance

# Text to 3D (Hunyuan Pro — best quality, ~3-6 min, 60 credits)
python 3daistudio.py pro --prompt "a red sports car" --model 3.1 -o car.glb

# Text to 3D (Hunyuan Rapid — faster, ~2-3 min, 35 credits)
python 3daistudio.py rapid --prompt "a wooden chair" -o chair.glb

# Image to 3D (TRELLIS.2 — fastest, ~25s-4min, 20 credits)
python 3daistudio.py trellis --image photo.png -o model.glb

# Check task status
python 3daistudio.py status <task_id>

# Download finished task
python 3daistudio.py download <task_id> -o model.glb

The --output / -o flag auto-polls until done and downloads automatically.

How to Use (MCP)

If the MCP server is configured, you have native tools available:

  • check_balance — check credit balance
  • generate_trellis — image to 3D (TRELLIS.2)
  • generate_rapid — text/image to 3D (Hunyuan Rapid)
  • generate_pro — text/image to 3D (Hunyuan Pro, highest quality)
  • check_status — poll a task by ID
  • download_model — download a finished model

Credit Costs

Model Credits
TRELLIS.2 geo-only 1024 20
TRELLIS.2 textured 30–55
Hunyuan Rapid 35–55
Hunyuan Pro 60–100

Important Notes

  • All jobs are async — submit → poll → download
  • Results expire after 24 hours — download promptly
  • Failed jobs are automatically refunded
  • Rate limit: 3 requests/minute
  • Output is .glb format; convert to STL/OBJ with Blender or trimesh
  • Copyright-protected characters (Mickey Mouse, Pikachu, etc.) are rejected by content moderation — describe them without brand names
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. 9d ago First seen · 66 lines · 595 tokens per session scan A 55a6ba7b1e28

Subscribe to this mod's changes

3daistudio_skill CLAUDE.md is an instructions file published in the GitHub repository whale-professor/3daistudio_skill (2 stars, last pushed 4mo ago), licensed MIT. It adds 595 tokens to every session, about $0.0030 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 2026-08-31.

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