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 tomkrikorian/visionOSAgents --skill realitykit-rendering-materialsgit clone --depth 1 https://github.com/tomkrikorian/visionOSAgentsWrote 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/tomkrikorian/visionosagents/realitykit-rendering-materials)<a href="https://agentmods.dev/skills/tomkrikorian/visionosagents/realitykit-rendering-materials"><img src="https://agentmods.dev/badge/skills/tomkrikorian/visionosagents/realitykit-rendering-materials/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/tomkrikorian/visionosagents/realitykit-rendering-materials"><img src="https://agentmods.dev/badge/skills/tomkrikorian/visionosagents/realitykit-rendering-materials.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 | $0.00102 | $0.01128 |
| Opus 5.5 | $0.00041 | $0.00451 |
| Sonnet 5.5 | $0.00020 | $0.00226 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
realitykit-rendering-materials 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RealityKit Rendering Materials
Quick Start
- Confirm the issue is visual: mesh display, material assignment, camera projection, lighting, shadows, post-processing, splats, decals, LOD, occlusion, or probes.
- Load the narrowest rendering reference that matches the feature.
- Route ShaderGraph or USDA material graph editing to
shadergraph-editor. - Route local USD stage rendering through
realitykit-visionos-developer; route USD authoring tousd-editor. - Validate on device or simulator with concrete visual checks, because many rendering issues are asset-, lighting-, or hardware-dependent.
Load References When
What ships with it
28 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.
- agents/openai.yaml 274 B
- references/adaptiveresolutioncomponent.md 1.6 KB
- references/bloomcomponent.md 2.9 KB
- references/clippingcomponent.md 3.5 KB
- references/directionallightcomponent.md 3.2 KB
- references/dynamiclightshadowcomponent.md 3.0 KB
- references/environmentlightingconfigurationcomponent.md 2.1 KB
- references/gaussiansplatcomponent.md 4.4 KB
- references/groundingshadowcomponent.md 3.5 KB
- references/imagebasedlightcomponent.md 4.0 KB
- references/imagebasedlightreceivercomponent.md 3.4 KB
- references/levelofdetailcomponent.md 4.1 KB
- references/lightmaps-and-probes.md 5.0 KB
- references/meshinstancescomponent.md 2.3 KB
- references/modelcomponent.md 3.5 KB
- references/modeldebugoptionscomponent.md 1.4 KB
- references/modelsortgroupcomponent.md 1.6 KB
- references/occlusioncullingcomponent.md 2.2 KB
- references/opacitycomponent.md 2.3 KB
- references/orthographiccameracomponent.md 2.9 KB
- references/perspectivecameracomponent.md 3.2 KB
- references/physicallybaseddecalcomponent.md 3.7 KB
- references/pointlightcomponent.md 3.0 KB
- references/projectivetransformcameracomponent.md 2.3 KB
- references/render-layers-and-shadows.md 4.8 KB
- references/spotlightcomponent.md 4.2 KB
- references/tonemappingcomponent.md 3.0 KB
- references/virtualenvironmentprobecomponent.md 2.4 KB
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 · 70 lines · 102 tokens per session scan A 9309233faf4d
realitykit-rendering-materials is a skill published in the GitHub repository tomkrikorian/visionOSAgents (66 stars, last pushed 4mo ago), licensed MIT. It adds 102 tokens to every session and 1,128 once invoked, about $0.0004 per session on Opus 5.5. 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.
realitykit-rendering-materials compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| realitykit-rendering-materialstomkrikorian/visionOSAgents | Skill | 66 | 4mo ago | MIT | A | 102 | Codex |
| orca-emulator-androidstablyai/orca | Skill | 120k | today | MIT | A | 102 | Claude Code, Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | today | Apache-2.0 | A | 56 | Claude Code |
| android-tombstone-symbolicationdotnet/skills | Skill | 5.9k | today | MIT | A | 176 | Claude Code |
| dogfoodcallstack/agent-device | Skill | 5.3k | today | MIT | A | 55 | Claude Code |
| winapp-mauimicrosoft/winappCli | Skill | 1.4k | today | MIT | A | 68 | Claude Code |
| app_remixrome-os/rome | Skill | 894 | yesterday | MIT | A | 50 | Claude Code, Codex |