vtj-performance

vtj-performance is a skill for Claude Code, Codex from hexianWeb/Third-Person-MC. It costs 35 tokens per session (767 once invoked), scanned A, original, MIT.

A collection of techniques for improving Three.js rendering performance in voxel or block-based scenes. Three.js is a JavaScript library for displaying 3D graphics in a browser.

In plain words
What is it for?
Use it to batch repeated objects, skip hidden blocks, share geometry, remove instances efficiently, and generate chunks without causing frame drops.
Why use it?
It helps reduce rendering work, memory use, and pauses when a scene contains many objects or is generated in the background.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/hexianweb/third-person-mc/vtj-performance
Any agent
npx skills add hexianWeb/Third-Person-MC --skill vtj-performance
Clone the repo
git clone --depth 1 https://github.com/hexianWeb/Third-Person-MC

Made for: Claude Code, Codex.

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 vtj-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/hexianweb/third-person-mc/vtj-performance.svg)](https://agentmods.dev/skills/hexianweb/third-person-mc/vtj-performance)
Your own site
<a href="https://agentmods.dev/skills/hexianweb/third-person-mc/vtj-performance"><img src="https://agentmods.dev/badge/skills/hexianweb/third-person-mc/vtj-performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 767 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.00767
Opus 5 $0.00017 $0.00383
Sonnet 5 $0.00007 $0.00153
Haiku 4.5 $0.00003 $0.00077

Measured 5d ago against content hash 778b8a8df131, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vtj-performance 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 5d 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.

.agent/skills/vtj-performance/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vite-threejs Performance Optimization

Overview

Performance patterns for voxel-based Three.js applications.

Key techniques:

  • InstancedMesh: Batch render thousands of similar objects
  • Occlusion culling: Skip hidden blocks
  • Geometry sharing: Single geometry for all blocks
  • Idle queue: Non-blocking chunk generation

Quick Reference

Technique Use When Benefit
InstancedMesh 100+ similar objects Reduced draw calls
Occlusion culling Voxel terrain Fewer vertices processed
Geometry sharing Multiple meshes same shape Lower memory
Swap-and-pop Dynamic instance removal O(1) deletion
Idle queue Background tasks No frame drops

InstancedMesh Pattern

const geometry = new THREE.BoxGeometry(1, 1, 1)  // Shared
const material = new THREE.MeshStandardMaterial({ color: 0x888888 })
const mesh = new THREE.InstancedMesh(geometry, material, count)

mesh.instanceMatrix.setUsage(THREE.DynamicDrawUsage)

// Set instance at index
mesh.setMatrixAt(index, matrix)
mesh.instanceMatrix.needsUpdate = true

Full patterns: See references/instanced-mesh.md

O(1) Instance Removal

// Swap last instance into deleted slot
const lastIndex = mesh.count - 1
if (index < lastIndex) {
  mesh.getMatrixAt(lastIndex, tempMatrix)
  mesh.setMatrixAt(index, tempMatrix)
}
mesh.count--
mesh.instanceMatrix.needsUpdate = true

Implementation details: See references/swap-and-pop.md

Occlusion Culling

Skip blocks completely surrounded by other blocks:

if (isBlockObscured(x, y, z)) return  // Skip rendering
renderBlock(x, y, z)

Algorithm: See references/occlusion-culling.md

Idle Queue

// Schedule work without blocking main thread
idleQueue.enqueue('chunk', () => {
  chunk.generateData()
}, priority)

API reference: See references/idle-queue.md

Read the full file on GitHub · 120 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.

  1. 5d ago First seen · 120 lines · 35 tokens per session scan A 778b8a8df131

Subscribe to this mod's changes

vtj-performance is a skill published in the GitHub repository hexianWeb/Third-Person-MC (189 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 767 once invoked, about $0.0002 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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