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-conceptgit 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-concept)<a href="https://agentmods.dev/skills/zenstory-ai/novel-to-game/game-concept"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-concept/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-concept"><img src="https://agentmods.dev/badge/skills/zenstory-ai/novel-to-game/game-concept.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 | $0.00139 | $0.00878 |
| Opus 5.5 | $0.00056 | $0.00351 |
| Sonnet 5.5 | $0.00028 | $0.00176 |
| Haiku 4.5 | $0.00014 | $0.00088 |
Grade A, and why
game-concept 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:
- game-concept — 100% identical, 0 lines differ
What it actually says
游戏概念设计
决定做成什么游戏，不写代码、数值表或逐场关卡脚本。
读取 concept-method.md。输入必须包含 SOURCE_BIBLE.md 与
PRODUCT_BRIEF.md；缺任一项就停止并说明缺口，不代替上游补写。
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。
决策边界
直接继承 brief 已锁的平台、输入、受众、分级、时长、目标市场和非目标；发现它们与原作明显冲突 时回总入口修订，不在概念阶段静默改值。原作语言、文化语境、目标市场和界面语言分别处理，不从 其中一个自动推出另一个。
互动叙事是成熟玩法，不因以阅读和对白承载就降低标准；它的动词可以是读局面、追问、比对信息、 表态、隐瞒、交出与承担回响。
概念还要判断验证形态：可用成熟交互语法表达时说明“已有语法 + 原作如何改变它”；核心依赖实时手感、 空间、视线、物理或独特操作时明确走自定义灰盒。不要把文本原型当所有体验的统一前置层，也不要因有 模板可用就让模板替原作决定玩法。
比较范围
先列 brief 的锁定维度和仍开放的维度，只比较能揭示真实取舍的方向，不凑概念数量或差异维度。 仅在方向仍开放时考察可信替代；用户已选定方向或不存在有效替代时说明原因，改为验证该方向的风险， 不重开选择。
选择
先按 concept-method 的硬否决逐个淘汰，不计算总分，再按其比较维度选择。quick 自动选证据最强的
方向；director 只对尚未决定的方向给出推荐并等待用户选择。
输出
生成一个 concepts/CONCEPT.md，只含：
- brief 锁定值与开放维度；
- 体验承诺及其可观察现象和失败现象；
- 紧凑先例说明；
- 候选概念卡：主类型、
experienceProfile、借用/拒绝的玩法先例、核心动作与循环、压力、失败、 世界响应；说明玩家身份如何形成反复行动、执行阻力与可观察变化。signature_command按方法「身份专属命令」写值或N/A；最后说明原作张力如何由玩家行动体现、 招牌画面、最小验证切片、最大风险和否决观察； - 硬否决结果、关键取舍、推荐与选择状态；
- 选定方向的玩家能动性合同、不可妥协体验承诺；
- 最小验证问题与开放问题。
narrative-led 或 hybrid 的叙事层还要选择一种分支结构语法并说明内容预算。交接前确认选定方向
可在 brief 范围内做成完整切片。
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 d5cadc51bee1
- 12d ago Changed bce6fadcf21c
- 1mo ago Changed · -2 lines fd07b5f61f44
- 1mo ago Changed · -10 tokens per session 6e933a4de634
- 1mo ago Changed · -16 lines a8d321eb3d64
- 1mo ago First seen · 73 lines · 149 tokens per session scan A 7080002eb9aa
game-concept is a skill published in the GitHub repository zenstory-ai/novel-to-game (933 stars, last pushed 7d ago), licensed MIT. It adds 139 tokens to every session and 878 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.