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 zenstory-ai/novel-to-game --skill game-art-directiongit clone --depth 1 https://github.com/zenstory-ai/novel-to-gameWrote 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/zenstory-ai/novel-to-game/game-art-direction)<a href="https://agentmods.dev/skills/zenstory-ai/novel-to-game/game-art-direction"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-art-direction/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/zenstory-ai/novel-to-game/game-art-direction"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-art-direction.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 | $0.00108 | $0.00911 |
| Opus 5 | $0.00054 | $0.00456 |
| Sonnet 5 | $0.00022 | $0.00182 |
| Haiku 4.5 | $0.00011 | $0.00091 |
Grade A, and why
game-art-direction 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- game-art-direction — 100% identical, 15 lines differ
What it actually says
游戏美术与创意方向
定义玩家最终看见、听见和读懂的体验；资产怎样生产、使用什么渲染库、模型或供应商由构建阶段决定。
读取 art-direction-method.md。必须已有 GAME_DESIGN.md 与
PRODUCT_BRIEF.md；视觉服务玩法，不能用漂亮参考图重写游戏。
产物语言由 PRODUCT_BRIEF.md 锁定；未锁定时跟随对话语言，不默认产出中文。
继承目标平台、视口/朝向、画风、内容尺度、targetFinish 与 experienceProfile。视觉参考只借
声明的构图、材质、色光或信息原则，不复制他作角色、地图、界面和资产。原作文化与目标市场分别
研究，不用流行刻板符号替代原作身份。
设计
- 定义能区分正确与错误方案的视觉原则；时代题材分别锁定世界真实性、媒介风格与人物理想化程度；
- 为玩家、目标、威胁、奖励和地标建立镜头、焦点、轮廓、尺度与密度语法；
- 让颜色、光、材质和运动编码真实状态，并提供非颜色冗余、低动效表达与明度可读边界；
- 定义首屏焦点、HUD 信息层级、输入反馈、结果分级、失败与结果状态；
- 为环境、角色、交互物和关键道具定义共享世界语法与各自识别锚点；
- 定义目标语言的字体覆盖、阅读顺序、文本密度与文化符号边界；
- 为核心循环或最高视觉风险定义关键游戏时刻，说明玩家动作、压力、焦点和前后状态，不为每个界面凑数；
- 定义声音世界、功能反馈层级和音乐边界；语音只在确有独特价值时选择，并始终保留字幕/静音路径。
narrative-led 或 hybrid 的叙事层还要说明人物距离、朝向、遮挡和姿态如何表现关系变化，以及对白区
怎样保证阅读、历史回看、跳过与加速。
表现层读取已经裁决的状态、事件与知识权限：同一个“获得物件、隐瞒证词、公开承诺”可以换文字、镜头 或动画，但不能由表现代码另算一次效果，也不能向玩家或角色提前泄露未获知事实。
不要写着色器、拓扑、贴图规格、接口、文件格式教程或供应商参数。
输出
生成 design/ART_DIRECTION.md，包含：
targetFinish与视觉原则；- 镜头/构图、世界/角色/道具语法、功能性色光材质；
- HUD、反馈、运动/转场、语言/文化与声音方向；
- 关键游戏时刻；
- 必需与可降级资产，以及原创/授权边界和仍未确定的视觉风险。
只有 targetFinish、用户用途或高风险视觉问题确实需要时，才追加 design/VISUAL_TARGETS.md 与少量
持久目标图，条件见方法「关键游戏时刻与目标图」。
交付前在目标视口检查动作、压力与反馈可辨；关键时刻在实际界面而非概念海报中成立； 方向覆盖核心循环、失败和结果，构建无需重新发明风格或反馈，但仍保有实现自由。
What ships with it
2 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.
- 4d ago Changed · -1 lines · -60 tokens per session 94a69ae08c9a
- 7d ago Changed · -21 lines cb205230e55d
- 13d ago First seen · 74 lines · 168 tokens per session scan A 1a798bab9818
game-art-direction is a skill published in the GitHub repository zenstory-ai/novel-to-game (775 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 911 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.
Other skills, from other repositories
reversi-master
One-click install + model switch:Claude Code,Codex CLI (OpenAI), Grok Build (xAI), DeepSeek Harness, Kimi Code (Moonshot) ,Qwen Code,Aider,OpenCode,MiMo Code (Xiaomi),ZCode (Z.AI),OpenClaw,Pi,OpenScience,Vibe-Trading,Claude Desktop (3P profile),ChatGPT desktop,OpenCode Desktop.
design-system
Guided, section-by-section GDD authoring for a single game system. Gathers context from existing docs, walks through each required section collaboratively, cross-references dependencies, and writes incrementally to file.
prototype
Concept prototype — validate the core idea is worth designing before writing GDDs. Run right after /brainstorm and /setup-engine. Routes to HTML, Engine, or Paper path based on game type. Produces a throwaway build and a PROCEED/PIVOT/KILL verdict.
setup-engine
Configure the project's game engine and version. Pins the engine in CLAUDE.md, detects knowledge gaps, and populates engine reference docs via WebSearch when the version is beyond the LLM's training data.
ux-design
Guided, section-by-section UX spec authoring for a screen, flow, or HUD. Reads game concept, player journey, and relevant GDDs to provide context-aware design guidance. Produces ux-spec.md (per screen/flow) or hud-design.md using the studio templates.
architecture-review
Validates completeness and consistency of the project architecture against all GDDs. Builds a traceability matrix mapping every GDD technical requirement to ADRs, identifies coverage gaps, detects cross-ADR conflicts, verifies engine compatibility consistency across all decisions, and produces a PASS/CONCERNS/FAIL…