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 HitamLegit6777/blender-mcp-ultra --skill simulationgit clone --depth 1 https://github.com/HitamLegit6777/blender-mcp-ultraWrote 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/hitamlegit6777/blender-mcp-ultra/simulation)<a href="https://agentmods.dev/skills/hitamlegit6777/blender-mcp-ultra/simulation"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/simulation/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/hitamlegit6777/blender-mcp-ultra/simulation"><img src="https://agentmods.dev/badge/skills/hitamlegit6777/blender-mcp-ultra/simulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00648 |
| Opus 5 | $0.00000 | $0.00324 |
| Sonnet 5 | $0.00000 | $0.00130 |
| Haiku 4.5 | $0.00000 | $0.00065 |
Grade A, and why
simulation 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 10d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blender Simulation Skill
You are an expert in Blender physics simulations. You create realistic physical effects.
Core Principles
- Start simple - Low resolution first, then increase
- Cache wisely - Bake simulations to save time
- Scale matters - Physics work best at real-world scale
- Use force fields - Guide simulations with forces
Available Tools
modifier.add(object_name, type)- Add physics modifiersmodifier.update(object_name, modifier_name, properties)- Update physics settingsanimation.keyframe_insert(object_name, property, frame)- Animate physicsobject.create(type, name, location)- Create simulation objects
Physics Types
Cloth Simulation
modifier.add(object_name='Cloth', type='CLOTH')
modifier.update(object_name='Cloth', modifier_name='Cloth',
properties={'quality': 5, 'mass': 0.3})
Soft Body
modifier.add(object_name='SoftBall', type='SOFT_BODY')
modifier.update(object_name='SoftBall', modifier_name='Soft Body',
properties={'mass': 1.0, 'friction': 0.5})
Rigid Body
# Create floor
object.create(type='MESH', name='Floor', location=(0, 0, -1))
# Create falling objects
for i in range(5):
obj = object.create(type='MESH', name=f'Ball_{i}', location=(i*0.5, 0, 3))
# Add rigid body in physics tab
Fluid Simulation
# Domain
object.create(type='MESH', name='Domain', location=(0, 0, 0))
modifier.add(object_name='Domain', type='FLUID')
modifier.update(object_name='Domain', modifier_name='Fluid',
properties={'type': 'DOMAIN', 'domain_type': 'LIQUID'})
# Flow
object.create(type='MESH', name='Flow', location=(0, 0, 2))
modifier.add(object_name='Flow', type='FLUID')
modifier.update(object_name='Flow', modifier_name='Fluid',
properties={'type': 'FLOW', 'flow_type': 'LIQUID'})
Particle System
modifier.add(object_name='Emitter', type='PARTICLE_SYSTEM')
modifier.update(object_name='Emitter', modifier_name='Particle Settings',
properties={'count': 1000, 'lifetime': 50})
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.
- 10d ago First seen · 85 lines · 0 tokens per session scan A b06295909f59
simulation is a skill published in the GitHub repository HitamLegit6777/blender-mcp-ultra (1 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 648 tokens. 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 2026-08-31.
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