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 | $0.00048 | $0.02185 |
| Opus 5.5 | $0.00019 | $0.00874 |
| Sonnet 5.5 | $0.00010 | $0.00437 |
| Haiku 4.5 | $0.00005 | $0.00218 |
Grade A, and why
houdini scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Point Wrangle (orient instances along curl noise): How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SideFX Houdini AI Skill Guide (Claude)
Overview & Engine Architecture
SideFX Houdini is a procedural VFX / USD pipeline DCC. Agents should treat .hip files as graphs of cooks, caches as versioned artifacts ($HIP/cache/...), PDG/TOPs as dependency contracts (not “hope files appear”), and Karma as a Hydra delegate with MaterialX GPU constraints. Automation runs through hython / hbatch, VEX in wranglers, and Solaris LOPs for USD lighting/render.
┌─────────────────────────────────────────────────────────────┐
│ Houdini cook → cache → render │
│ │
│ Contexts │
│ ├── SOPs geometry / modeling │
│ ├── DOPs: FLIP, Pyro, Vellum, RBD │
│ ├── LOPs / Solaris USD stage │
│ └── TOPs / PDG wedges & farm distribute │
│ │
│ Code │
│ ├── VEX (SIMD attrs: @P @v @orient @pscale) │
│ ├── hou Python 3.x via hython │
│ └── hbatch HScript for legacy ROPs │
│ │
│ Render │
│ └── Karma CPU / XPU + MaterialX + AOVs / Cryptomatte │
└─────────────────────────────────────────────────────────────┘
Version pins: document Houdini major.minor.build (e.g. 20.5.x) and packages JSON in every pipeline README. $HOUDINI_PATH / package order breaks farms silently.
When to use / when not to
Use when
- Procedural modeling, destruction, fluids, cloth, pyro, or USD lighting in Solaris.
- Headless cache/render via hython, hbatch, or PDG schedulers.
- Wedging parameters and distributing work items with TOPs.
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.
- 13d ago Changed · +34 lines · +18 tokens per session 1ff27e24c34d
- 1mo ago Changed · -16 tokens per session 6529c45568f5
- 2mo 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 (2 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,185 once invoked, about $0.0002 per session on Opus 5.5. 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.
houdini compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| houdinialivirgo/Major-AI-Skills | Skill | 2 | yesterday | MIT | A | 48 | Claude Code |
| anti-slop-designsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 34 | Claude Code |
| admin-access-registersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 49 | Claude Code |
| agent-framework-azure-ai-pysickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 24 | Claude Code |
| architecture-decision-recordssickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 34 | Claude Code |
| apify-integration-developmentsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 25 | Claude Code |
| access-matrixsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 41 | Claude Code |