What is solaris-render?

A staged workflow for creating and rendering Solaris scenes in Houdini, a 3D production tool, through the SYNAPSE connection. Solaris uses USD, a format and system for assembling 3D scenes from layered parts.

Use it to build scene geometry and lights, assign materials, set up cameras and render settings, and validate the scene before rendering.

It checks each stage before moving on and addresses Houdini and USD layering rules that can otherwise produce missing objects, materials, or incorrect renders.

How JosephOIbrahim/Synapse configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to JosephOIbrahim/Synapse. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/JosephOIbrahim/Synapse/master/.claude/skills/solaris-render/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/JosephOIbrahim/Synapse

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/josephoibrahim/synapse/solaris-render/github.svg)](https://agentmods.dev/skills/josephoibrahim/synapse/solaris-render)

Your own site

<a href="https://agentmods.dev/skills/josephoibrahim/synapse/solaris-render"><img src="https://agentmods.dev/badge/skills/josephoibrahim/synapse/solaris-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/josephoibrahim/synapse/solaris-render"><img src="https://agentmods.dev/badge/skills/josephoibrahim/synapse/solaris-render.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,005 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.01005
Opus 5.5	$0.00000	$0.00402
Sonnet 5.5	$0.00000	$0.00201
Haiku 4.5	$0.00000	$0.00101

Measured 2mo ago against content hash e64c7da186f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

solaris-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 2mo 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.

.claude/skills/solaris-render/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Solaris Scene Rendering Pipeline

Progressive validation pipeline for creating and rendering Solaris scenes via the SYNAPSE MCP connection to Houdini. Do NOT skip stages.

Stage 1: Scene Setup

Create scene geometry and light rig
After creation, query the stage and confirm all expected prims exist at correct paths
List any missing prims before proceeding
Wire nodes in correct order: geometry -> merge -> materials -> camera -> render_settings -> karma

USD layering gotchas (verified 21.0.671, 2026-05-30)

sublayer LOP ordering is the OPPOSITE of raw USD. It composes filepathN (highest index) as the STRONGEST layer — whereas raw subLayerPaths index 0 is strongest. To make a render department layer win, fill weakest-first (filepath1=layout … filepath5=render).
node.editableStage() is None outside an active Python-LOP cook. It is not a general authoring surface. Author via LOP nodes + parms, read via node.stage(), and write USD attrs via a pythonscript-LOP (where editableStage() IS valid in-cook). A pythonscript subLayerPaths edit does NOT compose downstream — use a real sublayer LOP + files instead.

Stage 2: Material Assignment

Assign materials to geometry using exact USD prim paths (NOT wildcard patterns)
After assignment, validate by querying each prim's material binding
Print: prim path + bound material for every assigned prim
Fix mismatches before proceeding
Use material library nodes with subnets (not separate matlib + assign)

Stage 3: Render Output Config

Set up render product and output path
Set picture on the Karma LOP AND outputimage on the ROP
Validate the output directory exists and is writable
Print the resolved output path

Stage 4: Test Render

Execute a minimal-resolution render: max 256x256, no SSS, no displacement, low samples (4-8)
Wait for completion with a 60-second timeout
Do NOT use soho_foreground=1 for heavy scenes (blocks Houdini entirely)
If Houdini becomes unresponsive, report failure and STOP — do NOT attempt higher quality
Use iconvert.exe from $HFS/bin/ for EXR-to-JPEG preview conversion

Read the full file on GitHub · 72 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.

2mo ago First seen · 72 lines · 0 tokens per session scan A e64c7da186f7

Subscribe to this mod's changes

solaris-render is a skill published in the GitHub repository JosephOIbrahim/Synapse (12 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,005 tokens. 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 2026-08-31.

Creative and media houdini karma mcp sidefx solaris vfx

Synapse: Skill for Claude Code