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 ra100/blender-claude-plugin --skill blender-physics-simulationgit clone --depth 1 https://github.com/ra100/blender-claude-pluginWrote 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/ra100/blender-claude-plugin/blender-physics-simulation)<a href="https://agentmods.dev/skills/ra100/blender-claude-plugin/blender-physics-simulation"><img src="https://agentmods.dev/badge/skills/ra100/blender-claude-plugin/blender-physics-simulation.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.04654 |
| Opus 5 | $0.00026 | $0.02327 |
| Sonnet 5 | $0.00010 | $0.00931 |
| Haiku 4.5 | $0.00005 | $0.00465 |
Grade A, and why
blender-physics-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 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.
How it starts
The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blender Physics & Simulation Expert
Overview
This skill provides expert guidance for Blender 5.x physics simulations: rigid body dynamics, cloth, fluid (Mantaflow smoke/fire/liquid), soft body, particle systems, force fields, baking/caching, and Python automation of simulation setups. The reference files contain the complete physics type catalog and Python API patterns.
MCP-First Approach
Prefer the official Blender MCP Server (Blender Lab, Blender 5.1+) for setting up rigid body / cloth / fluid sims, baking caches, reading results directly in a running Blender session. Fall back to emitting Python scripts only when the MCP server is not connected.
Detection: at session start, look for tools whose names match execute_blender_code, get_objects_summary, or search_api_docs — these belong to the official blender-mcp server. If any are present, MCP is available.
Tools used by this skill:
execute_blender_code— runbpyPython in the live session (primary action)get_objects_summary,get_object_detail_summary— inspect scene state before mutatingget_blendfile_summary_datablocks/_missing_files/_of_linked_libraries/_path_info/_usage_guess— inventory the filesearch_api_docs,get_python_api_docs,search_manual_docs— confirm correct API/operator names before calling themget_screenshot_of_window_as_image/_as_json,get_screenshot_of_area_as_image— verify visual resultsjump_to_tab_by_name,jump_to_tab_by_space_type,jump_to_view3d_object_by_name,jump_to_view3d_object_data_by_name— drive the UI to make changes visiblerender_thumbnail_to_path,render_viewport_to_path— capture quick visual feedback
Workflow: inspect with a get_* / search_* tool → mutate via execute_blender_code → verify with a screenshot or summary tool. Keep code blocks small and idempotent so failures are easy to localize.
Setup: see docs/blender-mcp-setup.md.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 579 lines · 51 tokens per session scan A dfa9d35ee84f
blender-physics-simulation is a skill published in the GitHub repository ra100/blender-claude-plugin (12 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 4,654 once invoked, about $0.0003 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.
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