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.
npx skills add nirholas/three.ws --skill auto-riggit 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/auto-rig)<a href="https://agentmods.dev/skills/nirholas/three.ws/auto-rig"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/auto-rig/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/auto-rig"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/auto-rig.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00123 | $0.00878 |
| Opus 5.5 | $0.00049 | $0.00351 |
| Sonnet 5.5 | $0.00025 | $0.00176 |
| Haiku 4.5 | $0.00012 | $0.00088 |
Grade A, and why
auto-rig 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auto-Rig — skeleton + skin weights for animation
Two paths, depending on whether you already have a mesh.
Tools
Both on the three.ws MCP server (@three-ws/mcp-server).
rig_mesh — rig an existing GLB ($0.20 USDC)
Auto-rig a static GLB: adds a humanoid skeleton and per-vertex skin weights via the three.ws rig pipeline (Make-It-Animatable by default).
| Param | Required | Notes |
|---|---|---|
glb_url |
yes | http(s) URL to the static GLB to rig — e.g. the glbUrl returned by forge-3d (forge_free), mesh-forge, or text-to-avatar. |
Returns the rigged glbUrl and a three.ws pose-studio link (https://three.ws/forge?action=rig...) where the model plays the canonical idle/walk clip library.
forge_avatar — text/image → rigged avatar in one call ($0.45 USDC)
Chains the whole pipeline: Granite prompt director → FLUX + TRELLIS/Hunyuan3D mesh → Make-It-Animatable auto-rig, so the model loads straight into the pose studio.
| Param | Required | Notes |
|---|---|---|
prompt |
one of prompt/images | A single humanoid character, e.g. "a friendly cartoon astronaut in a glossy white suit". |
image_url / image_urls |
one of prompt/images | Single image, or 1–4 angles (front/back/left/right) for higher-fidelity reconstruction. |
direct |
no | Run the Granite prompt-director stage (text mode). Default true. |
aspect_ratio |
no | Reference aspect ratio (text mode). Default 3:4 (portrait — best for a full-body figure). |
allow_non_humanoid |
no | Off by default. A clearly non-humanoid subject (furniture, vehicle, quadruped) is rejected without charge. Set true only to force-rig a non-character. |
Returns the rigged glbUrl, the intermediate mesh URL, a pose-studio link, the directed prompt, and per-stage timing. You are not charged if no rigged avatar is produced.
Which to use
- Already have a GLB (from
forge-3d,mesh-forge,text-to-avatar, or the user's own file) →rig_mesh($0.20). - Starting from just a prompt or photos and want it rigged →
forge_avatar($0.45, generation + rig bundled).
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.
- 1mo ago First seen · 54 lines · 123 tokens per session scan A 7168a88577d8
auto-rig is a skill published in the GitHub repository nirholas/three.ws (246 stars, last pushed today), licensed Apache-2.0. It adds 123 tokens to every session and 878 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.
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