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 | $0.01502 |
| Opus 5 | $0.00078 | $0.00751 |
| Sonnet 5 | $0.00031 | $0.00300 |
| Haiku 4.5 | $0.00016 | $0.00150 |
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 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:
- novel-game-analyze — 100% identical, 10 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。
不因目录看起来完整就直接信任;按协议「来源与覆盖」清点来源与已有拆文后,再判定是否算全量。
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。各步做法以 gameability-protocol.md 为准,此处只列顺序,不重述。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,不能改成抽样。
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。按协议的取证维度审阅每个来源单元, 仅记录有依据的发现;覆盖状态单独保留,区分「已审无相关发现」与「未审」。不为每章补齐空字段。
若作品反复出现命令、委托或代办,记录谁有资格下令、谁实际执行、所需权限与物件、 可能拒绝或走样的环节、谁会见证,以及什么债务或后果会延期返回。此阶段只提取身份动作的原作依据, 不预设运行时必须有自由输入,也不把一句命令直接等同于事情已经发生。
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。 普通候选项不必机械附带置信度对象;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,覆盖集合必须与来源单元
集合一致。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),
作为下游各交接门逐项比对的名册基准。
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」)。此表是下游交接门的段落级比对基准;下游仍可回原文补证,发现出入时
回上游修正此表,不得各自改写。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.
- 4d ago Changed c2ad51299710
- 7d ago Changed · -3 lines 2b4608a882c3
- 13d 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 (775 stars, last pushed yesterday), licensed MIT. It adds 157 tokens to every session and 1,502 once invoked, about $0.0008 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…