houdini-husk

houdini-husk is a skill for Claude Code from dcc-mcp/dcc-mcp-houdini. It costs 55 tokens per session (738 once invoked), scanned A, original, MIT.

A toolset for rendering USD scenes from the command line with husk, Houdini’s USD/Hydra renderer launcher, using Karma. It also supports snapshots, checkpoints, job monitoring, and render options.

In plain words
What is it for?
Use it to export scene snapshots, save intermediate USD checkpoints, configure husk options, start or cancel renders, and check render-job progress.
Why use it?
It allows long renders to run outside Houdini’s user interface and provides ways to resume or inspect work without blocking the UI.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to export scene snapshots, save intermediate USD checkpoints, configure husk options, start or cancel renders, and check render-job progress.

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Install with agentmods
npx agentmods add skills/dcc-mcp/dcc-mcp-houdini/houdini-husk
Install

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.

Any agent
npx skills add dcc-mcp/dcc-mcp-houdini --skill houdini-husk
Clone the repo
git clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-houdini

Made for: Claude Code.

Wrote 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.

agentmods badge for houdini-husk

README.md
[![agentmods](https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk/github.svg)](https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk)
Your own site
<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk/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.

agentmods 80×15 button for houdini-husk

Your own site · 80×15
<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-husk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 738 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00738
Opus 5 $0.00028 $0.00369
Sonnet 5 $0.00011 $0.00148
Haiku 4.5 $0.00006 $0.00074

Measured 3d ago against content hash 560e9a5e0948, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

houdini-husk 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 3d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/_husk_common.py, scripts/_husk_jobs.py, scripts/_husk_worker.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/dcc_mcp_houdini/skills/houdini-husk/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

houdini-husk

Typed husk command-line rendering tools for USD/Hydra workflows. Scene export and option authoring stay affinity: main; native Husk launch, polling, and cancellation are affinity: any. The render process runs below an isolated hython worker so Karma cannot occupy Houdini's UI thread.

Tool groups

  • render: render_with_husk launches and returns a durable job_id; get_husk_job polls bounded output evidence and cancel_husk_job terminates only an adapter-owned worker tree.
  • checkpoint: create_checkpoint (save intermediate USD state), create_snapshot (export stage as USD for offline rendering).
  • options: set_husk_options — configure or browse husk CLI options (renderer, threads, GPU, debug flags) on LOP/ROP nodes.

Tracer-bullet flow

  1. set_husk_options(list_options=true, category="render") → browse available options
  2. create_snapshot(source_path="/stage", snapshot_path="/tmp/scene_snapshot.usd", flatten=true) (a LOP or lopnet under /obj is also accepted)
  3. set_husk_options(node_path="/stage/karmarenderproduct1", options={"threads": 8, "verbose": true})
  4. create_checkpoint(usd_file="/tmp/scene_snapshot.usd", checkpoint_path="/tmp/checkpoint_001.usd")
  5. render_with_husk(usd_file="/tmp/scene_snapshot.usd", output_path="/tmp/render/beauty.$F4.exr", renderer="karma", resolution=[1920, 1080], frame_range=[1, 120])job_id
  6. get_husk_job(job_id="...") until state is terminal → inspect render_outcome, render_errors, warnings, written_files, and output_verification; verified partial files do not override procedural errors.

Terminal diagnostics scan the completed stderr file using bounded reads, not just its display tail. Error/warning lists retain at most 32 records of 1000 characters each. An unreadable configured stderr log reports STDERR_SCAN_FAILED and cannot establish a clean render. Polling still returns compact log tails.

use_hython_fallback=true is rejected because in-process rendering can freeze the Houdini event loop. Export a USD snapshot and use the isolated native Husk path instead.

Read the full file on GitHub · 57 lines

Changes

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.

  1. 3d ago Changed · +5 lines 560e9a5e0948
  2. 11d ago First seen · 52 lines · 55 tokens per session scan A 87706f7015ff

Subscribe to this mod's changes

houdini-husk is a skill published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 738 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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