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 skills add pjt222/agent-almanac --skill create-3d-scenegit clone --depth 1 https://github.com/pjt222/agent-almanacWrote 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.
[](https://agentmods.dev/skills/pjt222/agent-almanac/create-3d-scene)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.03036 |
| Opus 5 | $0.00039 | $0.01518 |
| Sonnet 5 | $0.00015 | $0.00607 |
| Haiku 4.5 | $0.00008 | $0.00304 |
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.
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()
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.
- 5d ago First seen · 387 lines · 77 tokens per session scan A 1b8dceb56f70
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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