three.ws: Skill for Claude Code

.agents/skills/generate-3d-model/SKILL.md

generate-3d-model is a skill for Claude Code from nirholas/three.ws. It costs 118 tokens per session (1,156 once invoked), scanned A, original, Apache-2.0.

A text-to-3D tool that creates a textured GLB file, a portable 3D model format, from a description. The result includes a downloadable model and a browser viewer link.

In plain words
What is it for?
Creating static 3D objects, props, creatures, or other assets from text for use in 3D software or projects.
Why use it?
It turns a written description into a usable 3D object without requiring the model to be built by hand. The model can be downloaded or viewed in a browser.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is nirholas/three.ws's own configuration. It tells Claude Code how to work on three.ws 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 three.ws configures →

Part of the three-ws-core plugin — 49 skills shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to nirholas/three.ws. 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/nirholas/three.ws/main/.agents/skills/generate-3d-model/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/nirholas/three.ws

Made for: Claude Code.

Or install three-ws-core, the plugin that ships this one along with the rest of its 49 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.

agentmods badge for generate-3d-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/nirholas/three.ws/generate-3d-model/github.svg)](https://agentmods.dev/skills/nirholas/three.ws/generate-3d-model)
Your own site
<a href="https://agentmods.dev/skills/nirholas/three.ws/generate-3d-model"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/generate-3d-model/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.

agentmods 80×15 button for generate-3d-model

Your own site · 80×15
<a href="https://agentmods.dev/skills/nirholas/three.ws/generate-3d-model"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/generate-3d-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,156 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 52
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00118 $0.01156
Opus 5.5 $0.00047 $0.00462
Sonnet 5.5 $0.00024 $0.00231
Haiku 4.5 $0.00012 $0.00116

Measured 14d ago against content hash 953aa9d307d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate-3d-model scanned grade A with 1 finding 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 14d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -X POST https://three.ws/api/mcp-studio \
.agents/skills/generate-3d-model/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate a 3D model from text

Turn a natural-language prompt into a textured, downloadable GLB model on the free three.ws text→3D lane (NVIDIA NIM / Microsoft TRELLIS). No API key and no account: the platform's server-side keys cover provider cost.

The result is always two things: a durable glbUrl (download / import into any 3D tool) and a viewer link that renders the model in the browser.

When to use which tool

Goal Use
A single object / prop / creature from text this skill (free lane)
A posable humanoid character with a skeleton create-3d-avatar
Add a skeleton to a GLB you already have rig-a-model

Fastest path: the MCP tool

If the three.ws MCP server is connected, call the free tool directly:

  • Tool: forge_free
  • Input: { "prompt": "<description>", "tier": "draft" }
    • prompt: 3 to 1000 chars. Lead with the subject, then its key materials and colors. The free lane conditions on ~77 characters, so front-load what matters: "a friendly round robot mascot, glossy white plastic, big blue eyes".
    • tier: draft (fast, default), standard, or high. All free; higher tiers only take longer.
  • Returns: glbUrl, viewerUrl, tier, backend, durationMs.

This is text-only (the free TRELLIS preview does not accept uploaded photos). For image / multi-view → 3D, use the art-directed lanes described in reference.md.

Portable path: the hosted HTTP endpoint

No MCP client required. The same free lane is a public JSON-RPC endpoint at https://three.ws/api/mcp-studio (no auth, no account):

curl -s -X POST https://three.ws/api/mcp-studio \
  -H 'content-type: application/json' \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "forge_free",
      "arguments": { "prompt": "a small glossy green ceramic frog figurine", "tier": "draft" }
    }
  }'

Response (structuredContent) carries the model:

Read the full file on GitHub · 105 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. 14d ago Changed 953aa9d307d9
  2. 20d ago Changed · +2 tokens per session 114795c9b8e8
  3. 2mo ago First seen · 105 lines · 116 tokens per session scan A c0957db52ba5

Subscribe to this mod's changes

generate-3d-model is a skill published in the GitHub repository nirholas/three.ws (269 stars, last pushed yesterday), licensed Apache-2.0. It adds 118 tokens to every session and 1,156 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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