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.
curl -O https://raw.githubusercontent.com/nirholas/three.ws/main/.agents/skills/create-3d-avatar/SKILL.mdgit clone --depth 1 https://github.com/nirholas/three.wsWrote 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.
[](https://agentmods.dev/skills/nirholas/three.ws/create-3d-avatar)<a href="https://agentmods.dev/skills/nirholas/three.ws/create-3d-avatar"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/create-3d-avatar/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.
<a href="https://agentmods.dev/skills/nirholas/three.ws/create-3d-avatar"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/create-3d-avatar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 56 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.
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 | $0.00116 | $0.01661 |
| Opus 5.5 | $0.00046 | $0.00664 |
| Sonnet 5.5 | $0.00023 | $0.00332 |
| Haiku 4.5 | $0.00012 | $0.00166 |
Grade A, and why
create-3d-avatar 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 \ How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a rigged 3D avatar
Turn a text prompt or a reference image into a rigged, animation-ready humanoid avatar (GLB). One call generates the textured mesh, then auto-rigs it (adding a humanoid skeleton and skin weights) so the model can be posed and play animation clips immediately.
The result is a glbUrl for the rigged model plus a pose-studio link that
opens the avatar ready to pose in the browser.
When to use which tool
| Goal | Use |
|---|---|
| A posable humanoid character from text/image | this skill |
| A static object / prop / creature | generate-3d-model |
| Add a skeleton to a GLB you already generated | rig-a-model |
Auto-rigging assumes a humanoid figure. A clearly non-humanoid subject
(furniture, vehicle, quadruped) is steered to generate-3d-model instead.
Fastest path: the MCP tool
If the three.ws MCP server is connected, call the one-step avatar tool:
- Tool:
forge_avatar - Input:
{ "prompt": "<character description>" }or{ "image_url": "<https URL to a reference image>" }prompt: describe a single full-body humanoid in a neutral standing pose, for example"a friendly cartoon astronaut in a glossy white suit".image_url: reconstruct and rig a character from a photo/render.allow_non_humanoid: settrueonly to rig a non-humanoid subject anyway.
- Returns: the rigged
glbUrl(orriggedGlbUrl), the intermediate mesh URL, a pose-studio link, and per-stage timing.
For a fast unrigged figure (no skeleton), use text_to_avatar instead: same
inputs, mesh only.
Portable path: the hosted HTTP endpoint
No MCP client needed. The free hosted lane is a public JSON-RPC endpoint at
https://three.ws/api/mcp-studio:
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_avatar",
"arguments": { "prompt": "a friendly cartoon astronaut in a glossy white suit" }
}
}'
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.
- 14d ago Changed 2eb74982a85b
- 20d ago Changed · +2 tokens per session 67d694905dd5
- 1mo ago Changed · +7 lines c899ee2457eb
- 2mo ago First seen · 137 lines · 114 tokens per session scan A 1a6cb8974985
create-3d-avatar is a skill published in the GitHub repository nirholas/three.ws (269 stars, last pushed yesterday), licensed Apache-2.0. It adds 116 tokens to every session and 1,661 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.
create-3d-avatar compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-3d-avatarnirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 116 | Claude Code |
| threejs-docspledgeandgrow/pledge-skills | Skill | 10 | 3mo ago | MIT | A | 112 | Claude Code, Codex |
| blender-mcpraphaelmansuy/edgecrab | Skill | 93 | 3mo ago | none | A | 53 | Claude Code, Codex |
| pixel-artNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 20 | Claude Code, Codex |
| physics-matterphaserjs/phaser | Skill | 41k | 2mo ago | MIT | A | 57 | Claude Code, Codex |
| audio-and-soundphaserjs/phaser | Skill | 41k | 2mo ago | MIT | A | 56 | Claude Code, Codex |
| events-systemphaserjs/phaser | Skill | 41k | 2mo ago | MIT | A | 52 | Claude Code, Codex |