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 novel-game-analyzegit 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/novel-game-analyze)<a href="https://agentmods.dev/skills/zenstory-ai/novel-to-game/novel-game-analyze"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/novel-game-analyze/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/novel-game-analyze"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/novel-game-analyze.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 | $0.00157 | $0.01292 |
| Opus 5.5 | $0.00063 | $0.00517 |
| Sonnet 5.5 | $0.00031 | $0.00258 |
| Haiku 4.5 | $0.00016 | $0.00129 |
Grade A, and why
novel-game-analyze 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 7d 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:
- novel-game-analyze — 100% identical, 0 lines differ
What it actually says
小说游戏化拆解
建立游戏设计所需的事实层,不评价文笔,也不在此阶段选择游戏类型。
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。
原文可以是任意语言。引用保留原文;策划语言或界面语言与原文不同时附必要译文,并建立角色名、 地名、物件和规则的统一术语表;礼制、宗教和叙事惯例不替换成另一文化的近似类型标签。
输入
优先复用现有写作工程或全量拆文产物,只回原文补关键证据;只有原始小说时才执行 本 skill 的全书管道。已有分析若只覆盖黄金三章或快速预览,只能帮助判断开篇,不能 证明理解了全书。除非用户明确只改编某一卷或片段,否则来源未覆盖全文时不得进入概念设计。
若存在 PRODUCT_BRIEF.md,先读取:分级、核心幻想与已锁类型决定取证优先级——优先为
核心幻想涉及的动作、关系、场面取证;对已锁类型需要而原作未系统提供的体系(如属性相克、
数值成长),在设计空白中写明「原作无系统化的对应体系,属下游发明」,供下游改编边界如实
引用。
全书管道
建立边界 → 逐单元提取 → 覆盖门禁 → 分层聚合 → 回查原文 → 压缩交付,各步做法见 gameability-protocol.md。选定改编段落的核对在概念选定后二次进入时做,产出逐事实表(见「输出」)。 工作卡只服务覆盖、恢复和复核,不把过程日志包装成策划成果。
可以在运行时并行处理互不重叠的章节批次,但每批必须使用同一提取契约,聚合和事实回查 保持串行;环境不支持并行时逐批串行完成。
提取维度
只保留会影响玩家动作、世界响应或视听身份的内容;维度、覆盖状态与命令/委托的记录方式以协议 「逐单元取证」「从事实得到系统候选」为准。
为硬规则、关键角色目标、玩家身份依据、转折结局和标志性锚点记录章节或文件位置; 推断必须明确标成推断或开放设计空间。
输出
生成一份 analysis/SOURCE_BIBLE.md,包含来源范围、全书覆盖、世界身份、原作事实与
证据、改编边界、玩家身份候选(PRODUCT_BRIEF 已锁身份时改为该身份的动作空间验证)、
可玩动词、可下达/承接的身份动作及其执行阻力、世界模型、空间与角色能动性、文化语境、
术语表(语言条件见上)、视觉锚点、风险和设计空白。全书覆盖按连续范围列出开篇、中段、结局和跨段
回收的关键变化、强弱节奏、反例与游戏化意义;表头写明来源单元数与成功数。短表格优先于重复文档、
结构化数据和证据索引。
改编边界必须是表格:条目 | 边界类型 | 证据位置,边界类型只用协议的四种标签;涉及
名分、座次、官阶或队伍序列的作品必须附人物名册行(姓名 | 身份/次序 | 结局 | 证据回目),
供下游回查人物身份与次序。
概念阶段选定改编段落后,二次进入本 skill 为该段落补一张逐事实表并追加进 SOURCE_BIBLE:
事实 | 证据位置 | 边界类型,含入镜角色的外观要点(服饰、兵器、体量及位置;原文无描写
写「原文未明确」)。此表供下游回查段落事实;下游发现出入时回上游修正此表,不各自改写。
概念选定后只补充或纠正有依据的原作事实——SOURCE_BIBLE 不得包含下游发明物,游戏状态键名、
回合或日程编号、scene_id、Hub/界面结构、QA 与范围计划只属于 GAME_DESIGN,不得把既有事实
改写成切片说辞。
来源范围只记录会影响复核的版本、覆盖范围和授权边界。下载日期、字节数、校验值和 本地路径只有在复现契约确实需要时才写,不把获取日志当策划内容。
其余完成门禁见协议「事实保真与交付」。
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.
- 7d ago Changed · -1 lines 4595ec966ee2
- 1mo ago Changed · -6 lines 193253249ebc
- 1mo ago Changed c2ad51299710
- 1mo ago Changed · -3 lines 2b4608a882c3
- 1mo ago First seen · 78 lines · 157 tokens per session scan A d0bd415c694c
novel-game-analyze is a skill published in the GitHub repository zenstory-ai/novel-to-game (933 stars, last pushed 7d ago), licensed MIT. It adds 157 tokens to every session and 1,292 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.