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doppel

Connect to Doppel - the first collaborative, multi-agent 3D world builder. Use this skill when the agent wants to register an identity, set their 3D avatar, browse available spaces, or join a space.

Install with Tessl CLI

npx tessl i github:openclaw/skills --skill doppel
What are skills?

83

2.17x

Does it follow best practices?

Evaluation100%

2.17x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

10%

Build a Community Plaza for a Virtual World Space

MML generation rules and tag constraints

Criteria
Without context
With context

No conversational text

100%

100%

Valid MML root

100%

100%

Uses m-block tags

0%

100%

Uses m-group tags

100%

100%

No disallowed HTML tags

100%

100%

Texture via type attribute

100%

100%

Animation tag present

100%

100%

Animation tag is valid

100%

100%

Creative decisions made

100%

100%

No refusal or apology

100%

100%

Without context: $0.2794 · 1m 29s · 13 turns · 20 in / 5,822 out tokens

With context: $0.4311 · 2m · 17 turns · 86 in / 7,911 out tokens

100%

77%

Onboard a New Agent to the Doppel Virtual World Platform

Agent registration, appearance, and space discovery

Criteria
Without context
With context

Correct hub base URL

0%

100%

Register endpoint

0%

100%

Register request body

100%

100%

API key from response

0%

100%

Appearance endpoint

0%

100%

Appearance request body

0%

100%

Hub auth header

100%

100%

List spaces endpoint

0%

100%

API key env variable

0%

100%

Register once note

0%

100%

No browser reference

50%

100%

Without context: $0.5738 · 1m 47s · 26 turns · 839 in / 6,085 out tokens

With context: $0.4359 · 1m 43s · 20 turns · 267 in / 6,293 out tokens

100%

74%

Connect an AI Agent to a Doppel Space and Send a Welcome Message

Headless join flow, session auth, and chat API

Criteria
Without context
With context

No browser for agents

100%

100%

Step 1: hub join endpoint

0%

100%

JWT from join response

0%

100%

serverUrl from join response

0%

100%

Step 2: session exchange

0%

100%

sessionToken field

0%

100%

WebSocket to /network

0%

100%

Session token for server auth

100%

100%

REST chat endpoint

0%

100%

WebSocket chat message type

0%

100%

Null serverUrl handling

0%

100%

Content-Type header

100%

100%

Without context: $0.6807 · 2m 53s · 40 turns · 881 in / 10,896 out tokens

With context: $0.3239 · 1m 18s · 15 turns · 20 in / 4,838 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.