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-contextgit 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-context)<a href="https://agentmods.dev/skills/ivanyangyangxi/artclaw_bridge/houdini-context"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/houdini-context/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-context"><img src="https://agentmods.dev/badge/skills/ivanyangyangxi/artclaw_bridge/houdini-context.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 | $0.00066 | $0.01730 |
| Opus 5 | $0.00033 | $0.00865 |
| Sonnet 5 | $0.00013 | $0.00346 |
| Haiku 4.5 | $0.00007 | $0.00173 |
Grade A, and why
houdini-context 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 11d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Houdini 编辑器上下文查询
获取当前 Houdini 编辑器状态、选中节点、场景信息、节点网络结构等。
⚠️ 仅适用于 Houdini — 通过
run_python执行,使用hou模块
调用方式
通过 MCP 工具 run_python 执行 Python 代码来获取 Houdini 编辑器上下文。
1. 获取选中节点
import hou
selected = hou.selectedNodes()
if selected:
for node in selected:
print(f"名称: {node.name()}")
print(f" 路径: {node.path()}")
print(f" 类型: {node.type().name()}")
print(f" 分类: {node.type().category().name()}")
print("---")
else:
print("没有选中任何节点")
2. 获取场景信息
import hou
# Hip 文件路径
hip_path = hou.hipFile.path()
hip_name = hou.hipFile.basename()
print(f"文件路径: {hip_path}")
print(f"文件名: {hip_name}")
# 是否有未保存的修改
has_changes = hou.hipFile.hasUnsavedChanges()
print(f"有未保存修改: {has_changes}")
# 帧率
fps = hou.fps()
print(f"帧率: {fps} FPS")
# 帧范围
start = hou.playbar.playbackRange()[0]
end = hou.playbar.playbackRange()[1]
current = hou.frame()
print(f"帧范围: {start} - {end}")
print(f"当前帧: {current}")
# Houdini 版本
version = hou.applicationVersionString()
print(f"Houdini 版本: {version}")
3. 获取 /obj 下的节点树结构
import hou
def print_node_tree(node, indent=0):
"""递归打印节点树"""
prefix = " " * indent
type_name = node.type().name()
flags = []
# SOP 节点才有 display/render flag
if hasattr(node, 'isDisplayFlagSet') and node.isDisplayFlagSet():
flags.append("D")
if hasattr(node, 'isRenderFlagSet') and node.isRenderFlagSet():
flags.append("R")
flag_str = f" [{','.join(flags)}]" if flags else ""
print(f"{prefix}{node.name()} ({type_name}){flag_str}")
for child in node.children():
print_node_tree(child, indent + 1)
obj = hou.node("/obj")
if obj:
print("=== /obj 节点树 ===")
for child in obj.children():
print_node_tree(child)
else:
print("未找到 /obj 节点")
4. 获取节点参数列表
import hou
node = hou.node("/obj/geo1/box1") # 替换为目标节点路径
if node:
print(f"节点: {node.path()} ({node.type().name()})")
print("--- 参数列表 ---")
for parm in node.parms():
try:
val = parm.eval()
except:
val = "<无法求值>"
print(f" {parm.name()} = {val}")
else:
print("未找到目标节点")
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.
- 11d ago First seen · 272 lines · 66 tokens per session scan A eca16892b232
houdini-context is a skill published in the GitHub repository IvanYangYangXi/artclaw_bridge (35 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,730 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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