Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/game-development/3d-games/SKILL.mdgit clone --depth 1 https://github.com/MisonL/LingWrote 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/misonl/ling/3d-games)<a href="https://agentmods.dev/skills/misonl/ling/3d-games"><img src="https://agentmods.dev/badge/skills/misonl/ling/3d-games/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/misonl/ling/3d-games"><img src="https://agentmods.dev/badge/skills/misonl/ling/3d-games.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 | $0.00032 | $0.00970 |
| Opus 5.5 | $0.00013 | $0.00388 |
| Sonnet 5.5 | $0.00006 | $0.00194 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
3d-games 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 1mo 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.
What it actually says
3D 游戏开发
3D 游戏系统的原则。
1. 渲染管线（Rendering Pipeline）
阶段
1. Vertex Processing -> Transform geometry
2. Rasterization -> Convert to pixels
3. Fragment Processing -> Color pixels
4. Output -> To screen
优化原则
| 技术 | 用途 |
|---|---|
| 视锥裁剪（Frustum culling） | 不渲染屏幕外区域 |
| 遮挡裁剪（Occlusion culling） | 不渲染被遮挡部分 |
| LOD（Level of Detail） | 距离远时降低细节 |
| 批处理（Batching） | 合并绘制调用 |
2. 着色器原则（Shader Principles）
着色器类型
| 类型 | 用途 |
|---|---|
| 顶点（Vertex） | 位置、法线 |
| 片元/像素（Fragment/Pixel） | 颜色、光照 |
| 计算（Compute） | 通用计算 |
何时编写自定义着色器
- 特效（水、火、传送门）
- 风格化渲染（Toon、Sketch）
- 性能优化
- 独特视觉风格
3. 3D 物理（3D Physics）
碰撞体形状
| 形状 | 使用场景 |
|---|---|
| 盒体（Box） | 建筑、箱体 |
| 球体（Sphere） | 球、快速检测 |
| 胶囊体（Capsule） | 角色 |
| 网格（Mesh） | 地形（成本高） |
原则
- 碰撞体用简单形状，视觉用复杂模型
- 分层过滤（Layer-based filtering）
- 视线检测用射线（Raycasting）
4. 相机系统（Camera Systems）
相机类型
| 类型 | 用途 |
|---|---|
| 第三人称（Third-person） | 动作、冒险 |
| 第一人称（First-person） | 沉浸、FPS |
| 等距（Isometric） | 策略、RPG |
| 轨道（Orbital） | 检视、编辑器 |
相机手感
- 平滑跟随（lerp）
- 碰撞回避（Collision avoidance）
- 运动前瞻（Look-ahead）
- 用 FOV 变化体现速度
5. 光照（Lighting）
光源类型
| 类型 | 用途 |
|---|---|
| 方向光（Directional） | 太阳、月亮 |
| 点光（Point） | 灯、火把 |
| 聚光（Spot） | 手电、舞台 |
| 环境光（Ambient） | 基础照明 |
性能考量
- 实时阴影开销大
- 尽量烘焙（Bake）
- 大场景用级联阴影（Shadow cascades）
6. 细节层级（LOD）
LOD 策略
| 距离 | 模型 |
|---|---|
| 近 | 全细节 |
| 中 | 50% 三角形 |
| 远 | 25% 或看板（billboard） |
7. 反模式（Anti-Patterns）
| [FAIL] 不要 | [OK] 要做 |
|---|---|
| 到处使用网格碰撞体（Mesh colliders） | 使用简单形状 |
| 移动端全开实时阴影 | 选择烘焙或投影（Blob）阴影 |
| 所有距离只用一个 LOD | 按距离分级 LOD |
| 未优化的着色器 | 性能分析（Profiling）后简化 |
提示： 3D 追求的是错觉，营造细节的印象，而非细节本身。
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.
- 1mo ago First seen · 136 lines · 32 tokens per session scan A 04e61f5a2e98
3d-games is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 32 tokens to every session and 970 once invoked, about $0.0001 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 2026-08-31.
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