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-buildgit 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-build)<a href="https://agentmods.dev/skills/zenstory-ai/novel-to-game/game-build"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-build/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-build"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-build.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 | $0.00151 | $0.01413 |
| Opus 5.5 | $0.00060 | $0.00565 |
| Sonnet 5.5 | $0.00030 | $0.00283 |
| Haiku 4.5 | $0.00015 | $0.00141 |
Grade A, and why
game-build 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 8d 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-build — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
游戏构建执行
保护已批准的体验边界;正式生产时再保护已批准的美术边界。驱动实现模型完成真实可玩的候选,不在 构建阶段重新做概念、关卡或美术方向。
读取 build-brief-contract.md。白盒阶段必须已有 GAME_DESIGN.md;
完整候选还必须已有 ART_DIRECTION.md。缺产品决定时回对应 owner,不在 BUILD_BRIEF 就地发明。
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。
目标与自由
按 PRODUCT_BRIEF 锁定的平台、生产引擎、目标运行时、显示/输入、范围、分级和联网边界交付。
目标工具链不可用时不得自动改做网页;只有 brief 已批准替代运行时才可使用,并分开记录
targetRuntime、testedRuntime 与未覆盖项。
正式生产继承 ART_DIRECTION.md 的可观察视觉约束与批准目标图,在实际运行中验证焦点资产。
BUILD_BRIEF 只压缩产品边界、必须保真的体验事实、运行方式与完成证据,实现细节交给实现模型。
先声明 buildStage: whitebox|production 与 buildPath: template|custom。已有交互语法只有在能保留原作
独有动作、代价和世界回应时才采用;实时手感、空间、视线、物理或模板覆盖不了的核心动词走 custom。
白盒也必须选择能验证最大风险的形态,不能把所有项目降成文游。
当前会话能编码时直接实现;外部模型不可用时只交付构建说明,不声称游戏已生成。不要发送与原型 无关的完整受版权保护原文。
按能力读取可选合同
- 已选择 Blender 制作或修改可编辑三维资产时,读取 blender-asset-workflow.md; 不因项目是 3D 就默认采用 Blender 或安装 MCP。
- 采用生成式自由输入、知识权限、事件回放、存档迁移或
signature_command时,读取 playable-model-contract.md 的相关部分。 - 语音策略不是
none时读取 tts-production-contract.md。 - 实际采用动态媒体时读取 generative-media-pipeline.md。
- 2.5D 角色或物件需要多方向、多动作且身份一致的序列帧时,读取 baked-sprite-workflow.md。
共同构建循环
- 先实现一个最小但完整的核心循环:启动、真实输入、状态变化、结果和重开。范围不足时修范围, 不先堆审计材料。
- 实现 GAME_DESIGN 的状态、动作与结果;使用生成模型时,模型只解释输入和结果,规则器拥有提交权。
存在
signature_command时再执行可选合同的专属边界。 - 保留能复现问题的初态与输入路径,涉及随机性时固定 seed;修订后重放失败路径与相邻反例。 同一手感或表现问题连续两次修复无效时停止换方案,先查成熟作品处理同类问题的公开资料(开发者 演讲、技术复盘或开源实现),理解其原理后再实现。
- 回写实际工具链、install/build/start 命令和版本;未知值写
NOT_AVAILABLE: 原因,不猜。 实际候选与 GAME_DESIGN、ART_DIRECTION 的事实描述不符时,交回对应 owner 修订或在 BUILD_BRIEF 标明冲突, 不留下描述已不存在的玩法、表现或声音的文档。
whitebox 到此按 build-brief-contract「完成证据」运行最窄检查并交回 design owner;设计修订后
重放受影响路径,直到最大风险已被实际暴露或当前方向被否决。
production 继续:
- 提供一条权威验证命令和最小可观察状态,使
game-qa能一次走完clean start → 核心动作 → 设计结果 → restart。 - 运行最窄的开发检查与启动 smoke,修复构建失败、阻断日志、资源失败和崩溃;替代运行时未覆盖的 目标平台输入、性能、打包或设备项写入 limitation。
- 达到 brief 的
targetFinish;更高完成度只处理已批准的焦点资产和招牌时刻,不制造与可玩闭环 无关的发布审计。有批准目标图的界面与焦点资产,在目标视口截取实际运行画面与目标图并排比对, 逐项列出布局、比例、字体、色光与层级差异后修正;连续两轮没有改善就停止,把剩余差异写进 BUILD_BRIEF 的限制,不修改目标图去迁就实现。 - 交给
game-qa;诊断、复跑与事实源规则见契约「完成证据」。
What ships with it
7 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.
- 8d ago Changed · +6 lines 4a1b79ed036d
- 24d ago Changed · +2 lines 895ab4669782
- 1mo ago Changed · -2 lines a3b01dfc8dff
- 1mo ago Changed · +1 lines 858623b8f652
- 1mo ago Changed · -17 lines 09d235ef85d5
- 1mo ago First seen · 85 lines · 151 tokens per session scan A 4aaf579704e8
game-build is a skill published in the GitHub repository zenstory-ai/novel-to-game (933 stars, last pushed 7d ago), licensed MIT. It adds 151 tokens to every session and 1,413 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
design-review
Reviews one design document for completeness, internal consistency, implementability, and design standards. Before handing to programmers.
art-bible
Author the Art Bible — visual identity gating asset production. Run before /map-systems.
asset-spec
Per-asset visual specs plus AI generation prompts from GDDs and character profiles. After the art bible.
localize
Localization pipeline — find hardcoded strings, extract string tables, cultural review, VO, RTL, enforce string freeze.
vertical-slice
Pre-production validation — end-to-end build to confirm the full loop is achievable before committing to Production. After GDDs, architecture, UX specs.
help
What should I do next? Use when stuck or you don't know what to do.