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 agentmods add skills/misonl/ling/game-artnpx skills add MisonL/Ling --skill game-artgit 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/game-art)<a href="https://agentmods.dev/skills/misonl/ling/game-art"><img src="https://agentmods.dev/badge/skills/misonl/ling/game-art.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.01663 |
| Opus 5 | $0.00010 | $0.00831 |
| Sonnet 5 | $0.00004 | $0.00333 |
| Haiku 4.5 | $0.00002 | $0.00166 |
Grade A, and why
game-art 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.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
游戏美术原则
游戏视觉设计思维：风格选择、资产管线与美术指导。
1. 美术风格选择
决策树
游戏应该唤起什么感觉？
|
+-- 怀旧 / 复古
| +-- 有限调色板？ -> Pixel Art（像素艺术）
| +-- 手绘感？ -> Vector / Flash style（矢量/Flash 风格）
|
+-- 真实 / 沉浸
| +-- 高预算？ -> PBR 3D
| +-- 风格化真实？ -> Hand-painted textures（手绘纹理）
|
+-- 亲切 / 休闲
| +-- 干净的形状？ -> Flat / Minimalist（扁平/极简）
| +-- 柔和感？ -> Gradient / Soft shadows（渐变/软阴影）
|
+-- 独特 / 实验性
+-- 定义自定义风格指南
风格比较矩阵
| 风格 | 制作速度 | 技能门槛 | 可扩展性 | 最适合 |
|---|---|---|---|---|
| Pixel Art（像素艺术） | 中 | 中 | 难招人 | 独立、复古 |
| Vector/Flat（矢量/扁平） | 快 | 低 | 易 | 移动端、休闲 |
| Hand-painted（手绘） | 慢 | 高 | 中 | 奇幻、风格化 |
| PBR 3D | 慢 | 高 | AAA 管线 | 真实游戏 |
| Low-poly（低多边形） | 快 | 中 | 易 | 独立 3D |
| Cel-shaded（卡通渲染） | 中 | 中 | 中 | 动漫、卡通 |
2. 资产管线决策
2D 管线
| 阶段 | 工具选项 | 输出 |
|---|---|---|
| 概念 | Paper、Procreate、Photoshop | 参考图 |
| 创作 | Aseprite、Photoshop、Krita | 单个精灵 |
| 图集 | TexturePacker、Aseprite | 精灵表 |
| 动画 | Spine、DragonBones、逐帧 | 动画数据 |
| 集成 | 引擎导入 | 游戏就绪资产 |
3D 管线
| 阶段 | 工具选项 | 输出 |
|---|---|---|
| 概念 | 2D 美术、Blockout | 参考 |
| 建模 | Blender、Maya、3ds Max | 高模 |
| 拓扑 | Blender、ZBrush | 游戏就绪网格 |
| UV/纹理 | Substance Painter、Blender | 纹理贴图 |
| 绑定 | Blender、Maya | 骨骼绑定 |
| 动画 | Blender、Maya、Mixamo | 动画片段 |
| 导出 | FBX、glTF | 引擎就绪 |
3. 色彩理论决策
调色板选择
| 目标 | 策略 | 示例 |
|---|---|---|
| 和谐 | 互补或类比 | 自然类游戏 |
| 对比 | 高饱和度差异 | 动作类游戏 |
| 情绪 | 暖/冷色温 | 恐怖、舒适 |
| 可读性 | 明度对比优于色相 | 玩法清晰度 |
色彩原则
- 层级： 重要元素应突出
- 一致性： 相同对象 = 相同色系
- 上下文： 颜色在背景上读取不同
- 无障碍： 不要仅依赖颜色
4. 动画原则
12 原则（应用于游戏）
| 原则 | 游戏应用 |
|---|---|
| Squash & Stretch（挤压与拉伸） | 跳跃弧线、撞击 |
| Anticipation（预备动作） | 攻击前的蓄力 |
| Staging（舞台设计） | 清晰的剪影 |
| Follow-through（跟随动作） | 移动后的头发、披风 |
| Slow in/out（慢进/慢出） | 过渡的缓动 |
| Arcs（弧线） | 自然移动路径 |
| Secondary Action（次要动作） | 呼吸、眨眼 |
| Timing（时间控制） | 帧数 = 重量/速度 |
| Exaggeration（夸张） | 远距离可读 |
| Appeal（吸引力） | 令人难忘的设计 |
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.
- 5d ago First seen · 186 lines · 20 tokens per session scan A f1e618dcf0fb
game-art is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 1,663 once invoked, about $0.0001 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 2026-08-31.
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