create-3d-scene

create-3d-scene is a skill for Claude Code from pjt222/agent-almanac. It costs 77 tokens per session (3,036 once invoked), scanned A, original, MIT.

A guide to creating reproducible 3D scenes in Blender with Python. It covers objects, materials, lighting, cameras, environments, and render settings.

In plain words
What is it for?
Use it to configure product or architectural scenes, prepare template scenes, set camera and lighting parameters, and automate batch renders.
Why use it?
It reduces repeated manual scene setup and makes it easier to generate consistent variations or connect 3D rendering to data workflows.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-almanac plugin — 122 skills, 76 agents shipped together

Good fit Use it to configure product or architectural scenes, prepare template scenes, set camera and lighting parameters, and automate batch renders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pjt222/agent-almanac/create-3d-scene
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 pjt222/agent-almanac --skill create-3d-scene
Clone the repo
git clone --depth 1 https://github.com/pjt222/agent-almanac

Made for: Claude Code.

Or install agent-almanac, the plugin that ships this one along with the rest of its 122 skills, 76 agents.

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 create-3d-scene

README.md
[![agentmods](https://agentmods.dev/badge/skills/pjt222/agent-almanac/create-3d-scene/github.svg)](https://agentmods.dev/skills/pjt222/agent-almanac/create-3d-scene)
Your own site
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/create-3d-scene"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/create-3d-scene/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.

agentmods 80×15 button for create-3d-scene

Your own site · 80×15
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/create-3d-scene"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/create-3d-scene.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,036 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00077 $0.03036
Opus 5 $0.00039 $0.01518
Sonnet 5 $0.00015 $0.00607
Haiku 4.5 $0.00008 $0.00304

Measured 5d ago against content hash 1b8dceb56f70, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

create-3d-scene 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 5d 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.

i18n/caveman-lite/skills/create-3d-scene/SKILL.md · 387 lines

How it starts

The opening of the file, as written. The whole thing — 387 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create 3D Scene

Set up a complete Blender scene programmatically using the Python API (bpy). Configure scene hierarchy, add mesh objects, create PBR materials with node-based shaders, position lighting and cameras, and set up environment/world settings.

When to Use

  • Creating reproducible 3D visualization scenes from scratch
  • Automating product visualization or architectural rendering setup
  • Generating multiple scene variations programmatically
  • Building template scenes for batch rendering workflows
  • Prototyping scene layouts before manual refinement
  • Integrating 3D visualization into data pipelines or reporting systems

Inputs

Input Type Description Example
Scene specifications Configuration Objects, materials, lighting requirements Product dimensions, material colors, lighting setup
Output requirements Parameters Resolution, render engine, quality settings 1920x1080, Cycles, 128 samples
Asset paths File paths External models, textures, HDRIs /path/to/hdri.exr, product_model.obj
Camera settings Parameters Position, rotation, focal length, DOF location=(7,-7,5), lens=50mm
Environment Configuration World shader, background, ambient settings HDRI lighting, solid color, gradient

Procedure

1. Set Up Script Structure

Create a Python script with proper imports and structure:

#!/usr/bin/env python3
"""
Scene setup script for Blender.
Usage: blender --background --python setup_scene.py
"""

import bpy
import math
import os
from pathlib import Path

def clear_scene():
    """Remove all objects from the scene."""
    bpy.ops.object.select_all(action='SELECT')
    bpy.ops.object.delete(use_global=False)

    # Clear orphaned data
    for block in bpy.data.meshes:
        if block.users == 0:
            bpy.data.meshes.remove(block)

    for block in bpy.data.materials:
        if block.users == 0:
            bpy.data.materials.remove(block)

def main():
    clear_scene()
    # Scene setup steps follow

if __name__ == "__main__":
    main()

Read the full file on GitHub · 387 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. 5d ago First seen · 387 lines · 77 tokens per session scan A 1b8dceb56f70

Subscribe to this mod's changes

create-3d-scene is a skill published in the GitHub repository pjt222/agent-almanac (32 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 3,036 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 2026-09-03.

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