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houdini-render

houdini-render is a skill for Claude Code from dcc-mcp/dcc-mcp-houdini. It costs 61 tokens per session (1,801 once invoked), scanned A, original, MIT.

A Houdini workflow for capturing viewport images, making flipbooks, and running renders through Houdini’s render tools. A flipbook is a sequence of rendered frames used to preview animation.

In plain words
What is it for?
Capturing single frames, previewing frame ranges, checking or changing ROP settings, starting and monitoring renders, publishing staged EXR files, and cancelling render jobs.
Why use it?
It provides render settings, output files, timing, warnings, and errors without leaving the host waiting indefinitely. It also reports when viewport rendering is unavailable in headless Houdini.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 12repo +1 yesterday A scan 61 tokens original MIT

Good fit Capturing single frames, previewing frame ranges, checking or changing ROP settings, starting and monitoring renders, publishing staged EXR files, and cancelling render jobs.

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Install with agentmods
npx agentmods add skills/dcc-mcp/dcc-mcp-houdini/houdini-render
View source ↗ dcc-mcp/dcc-mcp-houdini pypi.org
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-render
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-render

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dcc-mcp/dcc-mcp-houdini/houdini-render"><img src="https://agentmods.dev/badge/skills/dcc-mcp/dcc-mcp-houdini/houdini-render.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,801 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 $0.00061 $0.01801
Opus 5 $0.00030 $0.00901
Sonnet 5 $0.00012 $0.00360
Haiku 4.5 $0.00006 $0.00180

Measured 10d ago against content hash 444c6821abac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

houdini-render 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 10d ago.

The scan reads SKILL.md. This mod also ships 20 executable files (scripts/_background_render.py, scripts/_flipbook_chunked.py, scripts/_render_common.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-render/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

houdini-render

Typed render and visual-verification tools. Scene inspection and launch tools use affinity: main; background job polling and cancellation use affinity: any. Viewport tools are UI-aware: in a headless hython session they return a structured warnings payload with captured: false instead of failing, so an agent can detect and skip cleanly when rendering is unavailable. OpenGL ROP rendering is likewise rejected in headless Houdini because the native viewport/Vulkan path may terminate the process; use interactive Houdini or Karma/Husk for batch rendering.

Tool groups

  • viewport: capture_viewport (single frame), flipbook (range with an optional positive increment and explicit camera). Both clamp resolution to 4096 and return written_files / skipped / warnings.
  • render: get_render_settings (read-only), set_render_settings (reports unsupported fields per ROP type), render_rop (foreground or isolated hython background job), get_render_job (polls and reconciles status without blocking the UI), finalize_render_outputs (publishes externally validated staged EXRs without replacing finals), cancel_render_job (cancels only jobs owned by the current adapter process), configure_aovs (add/remove Solaris RenderVars or native Mantra auxiliary planes with renderer-correct processing), validate_karma_stage (read-only USD/Karma preflight), get_render_stats (read resolution/samples/renderer/output).
  • render_layer: create_render_layer (Solaris RenderProduct or cloned Mantra ifd ROP with its own output and object masks), manage_takes (take lifecycle plus parameter-tuple overrides for render variants).

Tracer-bullet flow

Viewport/Render

  1. houdini_camera_light__create_camera(name="rendercam")
  2. set_render_settings(rop_path="/out/mantra1", camera="/obj/rendercam", resolution=[1280,720], output_path="/tmp/beauty.exr")
  3. get_render_settings("/out/mantra1") → verify
  4. capture_viewport(output_path="/tmp/preview.jpg") for a quick look (UI only; decoded dimensions and pixel extrema are verified, and degenerate frames fail closed)
  5. flipbook(output_path="/tmp/preview.$F4.jpg", frame_range=[1,24,4], camera_path="/obj/rendercam") for a sparse camera preview (UI only)
  6. render_rop("/out/mantra1", frame_range=[1,1]) → background job_id in interactive or headless Houdini

Read the full file on GitHub · 121 lines

Files

What ships with it

21 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.

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. 10d ago First seen · 121 lines · 61 tokens per session scan A 444c6821abac

Subscribe to this mod's changes

houdini-render is a skill published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,801 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.

Creative and mediaai-agentsdcchoudinimcpmodel-context-protocolprocedural-generation
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