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 IvanYangYangXi/artclaw_bridge --skill houdini-simulationgit clone --depth 1 https://github.com/IvanYangYangXi/artclaw_bridgeWrote 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/ivanyangyangxi/artclaw_bridge/houdini-simulation)<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/houdini-simulation"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/houdini-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/ivanyangyangxi/artclaw_bridge/houdini-simulation"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/houdini-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 | $0.00075 | $0.04432 |
| Opus 5 | $0.00037 | $0.02216 |
| Sonnet 5 | $0.00015 | $0.00886 |
| Haiku 4.5 | $0.00007 | $0.00443 |
Grade A, and why
houdini-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 12d 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 — 478 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Houdini 仿真工作流指南
Pyro(烟火)、RBD(刚体)、FLIP(流体)、Vellum(柔体/布料)的标准节点搭建流程。
⚠️ 仅适用于 Houdini — 通过
run_python执行,使用hou模块📌 前置依赖: 执行任何修改操作前,请先阅读
houdini-operation-rulesSkill
通用仿真注意事项
- 所有仿真操作必须包裹在 undo group 中
- 仿真节点链通常为: Source → Solver → Post-Process → Cache
- 务必使用 File Cache 节点缓存仿真结果,避免反复计算
- 调试时先用低分辨率,确认效果后再提高分辨率
- Houdini 20+ 推荐使用 SOP-level 仿真节点(而非 DOP Network),更简洁
1. Pyro 烟火仿真
流程: Source → Pyro Solver → Visualize → Cache
[Sphere/Source Geometry]
↓
[Pyro Source] — 生成密度/温度/燃料体积
↓
[Pyro Solver] — 烟火解算
↓
[Pyro Post Process] — 后处理(着色等)
↓
[File Cache] — 缓存 VDB 到磁盘
Python 代码模板
import hou
with hou.undos.group("ArtClaw: Pyro 仿真搭建"):
# 创建 geo 节点
geo = hou.node("/obj").createNode("geo", "pyro_sim")
for child in geo.children():
child.destroy()
# ① 源几何体 - 球体作为火源
sphere = geo.createNode("sphere", "fire_source")
sphere.parm("scale").set(0.5)
# ② Pyro Source - 从几何体生成体积源
pyro_source = geo.createNode("pyrosource", "pyro_source")
pyro_source.setInput(0, sphere)
# 设置为燃烧模式
pyro_source.parm("mode").set(0) # Burn
# ③ Pyro Solver (SOP-level, Houdini 20+)
pyro_solver = geo.createNode("pyrosolver", "pyro_solver")
pyro_solver.setInput(0, pyro_source) # Source 输入
# 基本参数调整
pyro_solver.parm("resscale").set(0.5) # 分辨率缩放(调试用低值)
pyro_solver.parm("timescale").set(1.0) # 时间缩放
# ④ Pyro Post Process - 着色和可视化
pyro_post = geo.createNode("pyropostprocess", "pyro_post")
pyro_post.setInput(0, pyro_solver)
# ⑤ File Cache - 缓存结果
cache = geo.createNode("filecache", "pyro_cache")
cache.setInput(0, pyro_post)
cache.parm("file").set("$HIP/cache/pyro/pyro.$F4.bgeo.sc")
cache.parm("trange").set(1) # Render Frame Range
cache.setDisplayFlag(True)
cache.setRenderFlag(True)
geo.layoutChildren()
print("Pyro 仿真节点搭建完成")
print("提示: 点击 Pyro Solver 的 Play 按钮开始仿真")
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.
- 12d ago First seen · 478 lines · 75 tokens per session scan A a18dd2c5b503
houdini-simulation is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 75 tokens to every session and 4,432 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 2026-08-30.
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