A web-based 3D avatar viewer that gives an AI agent a visible character using VRM models, a file format for animated 3D avatars. It supports animations, facial expressions, voice playback, and lip syncing, and can be controlled over a local WebSocket connection.

Use it to build an avatar companion, VTuber-style character, or visual agent that can wave, change expression, speak, and match mouth movement to speech.

It provides a visual body and conversational presentation for an agent instead of limiting interaction to text or a plain interface. You must supply the VRM model yourself.

clawatar — Skill for Claude Code and Codex by Dongping-Chen

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 Dongping-Chen/Clawatar --skill skill

Clone the repo

git clone --depth 1 https://github.com/Dongping-Chen/Clawatar

Made for: Claude Code, Codex.

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/dongping-chen/clawatar/skill/github.svg)](https://agentmods.dev/skills/dongping-chen/clawatar/skill)

Your own site

<a href="https://agentmods.dev/skills/dongping-chen/clawatar/skill"><img src="https://agentmods.dev/badge/skills/dongping-chen/clawatar/skill/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/dongping-chen/clawatar/skill"><img src="https://agentmods.dev/badge/skills/dongping-chen/clawatar/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 881 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.

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	$0.00071	$0.00881
Opus 5.5	$0.00028	$0.00352
Sonnet 5.5	$0.00014	$0.00176
Haiku 4.5	$0.00007	$0.00088

Measured 2mo ago against content hash 60a88e044c84, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clawatar 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 2mo 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.

skill/SKILL.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clawatar — 3D VRM Avatar Viewer

Give your AI agent a body. Web-based VRM avatar with 162 animations, expressions, TTS lip sync, and AI chat.

Transport note: ws://127.0.0.1:8765 in this skill is for local web viewer control/dev only. Apple clients (iPhone/iPad/macOS) use relay-only transport.

Install & Start

# Clone and install
git clone https://github.com/Dongping-Chen/Clawatar.git ~/.openclaw/workspace/clawatar
cd ~/.openclaw/workspace/clawatar && npm install

# Start (Vite + WebSocket server)
npm run start

Opens at http://localhost:3000 with WS control at ws://127.0.0.1:8765.

Users must provide their own VRM model (drag & drop onto page, or set model.url in clawatar.config.json).

WebSocket Commands

Send JSON to ws://127.0.0.1:8765:

play_action

{"type": "play_action", "action_id": "161_Waving"}

set_expression

{"type": "set_expression", "name": "happy", "weight": 0.8}

Expressions: happy, angry, sad, surprised, relaxed

speak (requires ElevenLabs API key)

{"type": "speak", "text": "Hello!", "action_id": "161_Waving", "expression": "happy"}

reset

{"type": "reset"}

Quick Animation Reference

Mood	Action ID
Greeting	`161_Waving`
Happy	`116_Happy Hand Gesture`
Thinking	`88_Thinking`
Agreeing	`118_Head Nod Yes`
Disagreeing	`144_Shaking Head No`
Laughing	`125_Laughing`
Sad	`142_Sad Idle`
Dancing	`105_Dancing`, `143_Samba Dancing`, `164_Ymca Dance`
Thumbs Up	`153_Standing Thumbs Up`
Idle	`119_Idle`

Full list: public/animations/catalog.json (162 animations)

Sending Commands from Agent

cd ~/.openclaw/workspace/clawatar && node -e "
const W=require('ws'),s=new W('ws://127.0.0.1:8765');
s.on('open',()=>{s.send(JSON.stringify({type:'speak',text:'Hello!',action_id:'161_Waving',expression:'happy'}));setTimeout(()=>s.close(),1000)})
"

UI Features

Touch reactions: Click avatar head/body for reactions
Emotion bar: Quick 😊😢😠😮😌💃 buttons
Background scenes: Sakura Garden, Night Sky, Café, Sunset
Camera presets: Face, Portrait, Full Body, Cinematic
Voice chat: Mic input → AI response → TTS lip sync

Read the full file on GitHub · 95 lines

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.

2mo ago First seen · 95 lines · 71 tokens per session scan A 60a88e044c84

Subscribe to this mod's changes

clawatar is a skill published in the GitHub repository Dongping-Chen/Clawatar (25 stars, last pushed 8mo ago), licensed MIT. It adds 71 tokens to every session and 881 once invoked, about $0.0003 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 2026-08-30.

Creative and media

clawatar next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
clawatarDongping-Chen/Clawatar	Skill	25	8mo ago	MIT	A	71	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code