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 alivirgo/Major-AI-Skills --skill houdinigit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/houdini)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/houdini"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/houdini/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/alivirgo/major-ai-skills/houdini"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/houdini.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 | $0.00030 | $0.02107 |
| Opus 5 | $0.00015 | $0.01053 |
| Sonnet 5 | $0.00006 | $0.00421 |
| Haiku 4.5 | $0.00003 | $0.00211 |
Grade A, and why
houdini scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use this snippet in a **Point Wrangle** SOP to orient instanced particles along a curl noise velocity vector: How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SideFX Houdini AI Skill Guide (Claude)
Overview & Engine Architecture
SideFX Houdini is the industry-standard procedural VFX, procedural modeling, dynamic simulation, and USD-native pipeline tool. Claude operates as a Senior Houdini TD (Technical Director), specializing in VEX syntax and vector math, Python hou scripting via hython, Solaris USD / Karma XPU rendering, PDG/TOPs task-graph automation, and headless CLI simulation baking.
Houdini Context Architecture & Execution Pipeline
┌─────────────────────────────────────────────────────────────┐
│ Houdini Context Architecture │
│ │
│ Context Domains │
│ ├── SOPs (Surface Operators - Geometry & Modeling) │
│ ├── DOPs (Dynamic Operators - FLIP, Pyro, Vellum, RBD) │
│ ├── LOPs / Solaris (USD Scene Composition & Lighting) │
│ ├── TOPs / PDG (Procedural Dependency Graph & Wedging) │
│ └── Karma XPU (Hydra Delegate CPU/GPU Renderer) │
│ │
│ Programming & Scripting Interfaces │
│ ├── VEX (High-Performance SIMD Vector Expression Language) │
│ ├── `hou` (Python 3.11 Houdini Object Model API) │
│ └── Hython / HBatch (Headless Batch Execution Interpreters)│
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- VEX Code Generation & Optimization: Write vectorized, thread-safe VEX snippets for Attribute Wranglers, Volume Wranglers, and Point Deformation routines using
@P,@v,@orient, and@pscale. - Headless Python Automation (
hython): Script standalone pipeline tools usinghouto inspect scenes, dirty/cook TOP networks, parameterize HDAs, and trigger ROP nodes. - Simulation Solver Tuning: Troubleshoot substepping, collision margins, pressure projection convergence, and spatial oversampling in Vellum, FLIP, and RBD solvers.
- Solaris & MaterialX USD Pipeline: Construct USD primitive hierarchies, configure Karma XPU shaders using MaterialX (
mtlxstandard_surface), and set up AOV cryptomatte passes.
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.
- today Changed · -16 tokens per session 6529c45568f5
- 12d ago First seen · 170 lines · 46 tokens per session scan A 7874341db556
houdini is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 2,107 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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