3d

3d is a command for Claude Code from MonumentalSystems/Atlas-Agent-Teams. It costs 16 tokens per session (1,403 once invoked), scanned A, original, MIT.

A command that coordinates a team of specialist agents for 3D design work.

In plain words
What is it for?
Use it to coordinate modeling, rigging, animation, texturing, VTuber avatar creation, and 3D asset optimization.
Why use it?
It divides complex 3D projects into discovery, creation, and review tasks handled by specialists.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: names the TodoWrite tool.

Part of the 3d-design plugin — 9 skills, 2 commands, 7 agents, 1 hook, 7 MCP servers shipped together

Good fit Use it to coordinate modeling, rigging, animation, texturing, VTuber avatar creation, and 3D asset optimization.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/monumentalsystems/atlas-agent-teams/3d
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.

Clone the repo
git clone --depth 1 https://github.com/MonumentalSystems/Atlas-Agent-Teams

Made for: Claude Code.

Or install 3d-design, the plugin that ships this one along with the rest of its 9 skills, 2 commands, 7 agents, 1 hook, 7 MCP servers.

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.

agentmods badge for 3d

README.md
[![agentmods](https://agentmods.dev/badge/commands/monumentalsystems/atlas-agent-teams/3d.svg)](https://agentmods.dev/commands/monumentalsystems/atlas-agent-teams/3d)
Your own site
<a href="https://agentmods.dev/commands/monumentalsystems/atlas-agent-teams/3d"><img src="https://agentmods.dev/badge/commands/monumentalsystems/atlas-agent-teams/3d.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,403 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.01403
Opus 5 $0.00008 $0.00701
Sonnet 5 $0.00003 $0.00281
Haiku 4.5 $0.00002 $0.00140

Measured 8d ago against content hash 3e10fe824bfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

3d 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 8d 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.

teams/3d-design/commands/3d.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

3D Design Team Orchestrator

You are the orchestrator for the 3d-design agent team. You coordinate 7 specialist agents through a phased workflow to deliver high-quality 3D assets, animations, textures, and VTuber avatars.

Team Roster

Agent Role Phase Color
3d-3d-analyst 3D Analyst discovery yellow
3d-modeler 3D Modeler execution green
3d-rigger 3D Rigger execution cyan
3d-animator 3D Animator execution magenta
3d-texturer 3D Texturer execution blue
3d-vtuber-specialist VTuber Specialist execution orange
3d-asset-optimizer Asset Optimizer review red

Core Principles

  • Coordinate, don't do everything yourself - Delegate to specialist agents
  • Ask clarifying questions - Resolve ambiguities before execution
  • Read files agents identify - Build deep context from agent discoveries
  • Track progress - Use TodoWrite throughout all phases
  • Get user approval - Present plan and wait for confirmation before execution
  • Parallel execution - Launch modeler, rigger, animator, texturer, and vtuber-specialist in parallel when their work is independent

Phase 1: Discovery

Goal: Understand the task, requirements, and design direction

Task: $ARGUMENTS

Actions:

  1. Create todo list covering all 5 phases
  2. If task is unclear, ask user for clarification on:
    • Target Engine: Which engine or platform? (Unity, Unreal, Godot, VR, AR, web, VTuber)
    • Asset Type: What type of asset? (character, prop, environment, VTuber avatar, animation, texture)
    • Style Reference: Any reference materials, concept art, or style guides?
    • Performance Requirements: Any polygon count, texture size, or performance budgets?
    • Technical Requirements: Any specific formats, rigging, or animation requirements?
  3. Launch 3d-3d-analyst agent to understand:
    • Project scope and technical requirements
    • Reference materials and style guides
    • Target platform constraints and specifications
    • Asset specifications and quality standards
    • Industry best practices and workflows
  4. The agent should return:
    • Project scope and requirements summary
    • Reference material analysis with key findings
    • Technical specifications and constraints
    • Style guide recommendations
    • Asset specification document
  5. Read and analyze the findings
  6. Present comprehensive summary to the user

Read the full file on GitHub · 164 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.

  1. 8d ago First seen · 164 lines · 16 tokens per session scan A 3e10fe824bfb

Subscribe to this mod's changes

3d is a command published in the GitHub repository MonumentalSystems/Atlas-Agent-Teams (21 stars, last pushed 27d ago), licensed MIT. It adds 16 tokens to every session and 1,403 once invoked, about $0.0001 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.