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 ckorhonen/claude-skills --skill gsplat-optimizergit clone --depth 1 https://github.com/ckorhonen/claude-skillsWrote 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/ckorhonen/claude-skills/gsplat-optimizer)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/gsplat-optimizer"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/gsplat-optimizer/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/ckorhonen/claude-skills/gsplat-optimizer"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/gsplat-optimizer.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 | $0.00064 | $0.02991 |
| Opus 5 | $0.00032 | $0.01496 |
| Sonnet 5 | $0.00013 | $0.00598 |
| Haiku 4.5 | $0.00006 | $0.00299 |
Grade A, and why
gsplat-optimizer 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 11d 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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gaussian Splat Optimizer
Optimize 3D Gaussian Splatting scenes for real-time rendering on Apple platforms (iOS, macOS, visionOS) using Metal.
When to Use
- Optimizing
.plyor.splatfiles for mobile/Apple GPU targets - Reducing gaussian count for performance (pruning strategies)
- Implementing Level-of-Detail (LOD) for large scenes
- Compressing splat data for bandwidth/storage constraints
- Profiling and optimizing Metal rendering performance
- Targeting specific FPS goals on Apple hardware
Quick Start
Input: Provide a .ply/.splat file path, target device class, and FPS target.
# Analyze a splat file
python ~/.claude/skills/gsplat-optimizer/scripts/analyze_splat.py scene.ply --device iphone --fps 60
Output: The skill provides:
- Point/gaussian pruning plan (opacity, size, error thresholds)
- LOD scheme suggestion (distance bins, gaussian subsets)
- Compression recommendation (if bandwidth/storage bound)
- Metal profiling checklist with shader/compute tips
Optimization Workflow
Step 1: Analyze the Scene
First, understand your scene characteristics:
- Gaussian count: Total number of splats
- Opacity distribution: Histogram of opacity values
- Size distribution: Gaussian scale statistics
- Memory footprint: Estimated GPU memory usage
Step 2: Determine Target Device
| Device Class | GPU Budget | Max Gaussians (60fps) | Storage Mode |
|---|---|---|---|
| iPhone (A15+) | 4-6GB unified | ~2-4M | Shared |
| iPad Pro (M1+) | 8-16GB unified | ~6-8M | Shared |
| Mac (M1-M3) | 8-24GB unified | ~8-12M | Shared/Managed |
| Vision Pro | 16GB unified | ~4-6M (stereo) | Shared |
| Mac (discrete GPU) | 8-24GB VRAM | ~10-15M | Private |
Step 3: Apply Pruning
If gaussian count exceeds device budget:
- Opacity threshold: Remove gaussians with opacity < 0.01-0.05
- Size culling: Remove sub-pixel gaussians (< 1px at target resolution)
- Importance pruning: Use LODGE algorithm for error-proxy selection
- Foveated rendering: For Vision Pro, reduce density in peripheral view
What ships with it
5 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.
- 11d ago First seen · 299 lines · 64 tokens per session scan A 858067d11325
gsplat-optimizer is a skill published in the GitHub repository ckorhonen/claude-skills (14 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 2,991 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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