Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jaccen/Awesome-Gaussian-Skillsnpx agentmods add skills/jaccen/awesome-gaussian-skills/3dgs-mcp-rendererWrote 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/jaccen/awesome-gaussian-skills/3dgs-mcp-renderer)<a href="https://agentmods.dev/skills/jaccen/awesome-gaussian-skills/3dgs-mcp-renderer"><img src="https://agentmods.dev/badge/skills/jaccen/awesome-gaussian-skills/3dgs-mcp-renderer/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/jaccen/awesome-gaussian-skills/3dgs-mcp-renderer"><img src="https://agentmods.dev/badge/skills/jaccen/awesome-gaussian-skills/3dgs-mcp-renderer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00098 | $0.06895 |
| Opus 5 | $0.00049 | $0.03447 |
| Sonnet 5 | $0.00020 | $0.01379 |
| Haiku 4.5 | $0.00010 | $0.00690 |
Grade A, and why
3dgs-mcp-renderer 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 12d 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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
3DGS MCP Renderer — Agent-3DGS Interaction via MCP Protocol
Prototype specification for integrating MCP (Model Context Protocol) with 3DGS rendering pipelines, enabling AI Agents to directly manipulate Three.js/3DGS rendering parameters and achieve voice-driven 3D scene reconstruction.
Architecture
┌─────────────┐ ┌─────────────┐ ┌──────────────────┐ ┌──────────────────┐
│ Voice/Text │────▶│ Agent │────▶│ MCP Server │────▶│ 3DGS Renderer │
│ (Whisper/ │ │ (Claude/ │ │ (Node.js/ │ │ (Three.js/ │
│ Prompt) │ │ TeleClaw) │ │ Python) │ │ WebGPU/HiGS/ │
│ │◀────│ │◀────│ │◀────│ DDF-GS) │
└─────────────┘ └─────────────┘ └──────────────────┘ └──────────────────┘
│ │ │
│ Tool calls │ WebSocket/HTTP │ WebGL/WebGPU/
│ (MCP protocol) │ transport │ HiGS/DDF-GS
Spec-First Sculpting Pipeline (v0.9.0)
Design inspiration: img2threejs (GitHub: img2threejs/img2threejs) — open-source AI Skill that converts a single image into an interactive Three.js 3D model via a stage-gated sculpting pipeline. We borrow two core principles: (1) spec-first — define quality criteria and component hierarchy before any rendering; (2) stage-gated sculpting — progressive refinement with acceptance checks at each stage.
Why Spec-First for MCP Rendering?
The original MCP pipeline was reactive: user issues a voice command → agent maps to a tool → render → verify. This works for single-step edits but fails for complex scene construction because:
- No upfront quality criteria → agent cannot self-assess before rendering
- No stage gates → errors compound across steps (bad camera → bad selection → bad edit)
- No component hierarchy → edits are flat, no part-level control
What ships with it
3 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.
- 12d ago First seen · 373 lines · 98 tokens per session scan A 728c9555a424
3dgs-mcp-renderer is a skill published in the GitHub repository jaccen/Awesome-Gaussian-Skills (151 stars, last pushed 7d ago), licensed Apache-2.0. It adds 98 tokens to every session and 6,895 once invoked, about $0.0005 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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