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 agentmods add skills/dongping-chen/clawatar/skillnpx skills add Dongping-Chen/Clawatar --skill skillgit clone --depth 1 https://github.com/Dongping-Chen/ClawatarWhat 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 | $0.00071 | $0.00881 |
| Opus 5 | $0.00036 | $0.00441 |
| Sonnet 5 | $0.00014 | $0.00176 |
| Haiku 4.5 | $0.00007 | $0.00088 |
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 3d 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 — 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://127.0.0.1:8765in 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
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.
- 3d ago First seen · 95 lines · 71 tokens per session scan A 60a88e044c84
clawatar is a skill published in the GitHub repository Dongping-Chen/Clawatar (22 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 881 once invoked, about $0.0004 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 2026-08-30.
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