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 zhuanggenhua/BoardGame --skill game-designgit clone --depth 1 https://github.com/zhuanggenhua/BoardGameWrote 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/zhuanggenhua/boardgame/game-design)<a href="https://agentmods.dev/skills/zhuanggenhua/boardgame/game-design"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/game-design/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/zhuanggenhua/boardgame/game-design"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/game-design.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 | $0.00038 | $0.00420 |
| Opus 5 | $0.00019 | $0.00210 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
game-design 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 11d 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.
What it actually says
Game Design
本 skill 是游戏设计工作的单一入口。它只提供设计判断方法，不承载具体游戏案例库、课程讲义或项目管理长文。
Workflow
- 锁定用户要解决的是：立项、核心循环、机制 / 平衡、关卡 / 引导、UI / UX、玩家心理、测试，还是团队决策。
- 读取
references/topic-cards.md中对应主题卡；不要加载旧讲义或案例副本。 - 先给直接建议，再说明取舍、风险和最小验证动作。
- 如果问题已经进入 BoardGame 代码、UI、测试或资源实现，回到对应项目 skill，不用本 skill 代替工程 workflow。
Topic Routing
- 立项和框架：pillars、problem statement、80/20、范围 / 资源三角。
- 核心循环和迭代：verbs、反馈、可重复乐趣、prototype loop。
- 机制和平衡：flow、动态难度、奖惩反馈、min/max、倍增 / 减半。
- 关卡、谜题和引导：能力类型、affordance、环境叙事、节奏结构。
- UI、控制和错误：UCD、Hick、Fitts、错误分类和恢复。
- 玩家心理和测试：认知偏差、归因偏差、playtest 方法。
- 团队和主题：决策权、共同愿景、主题与机制协同、比例 / 张力。
Default Output
- Target player and fantasy
- Core loop or key interaction
- Recommended direction
- Main tradeoffs or abuse cases
- Next prototype or playtest step
What ships with it
3 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.
- 11d ago First seen · 34 lines · 38 tokens per session scan A 4f614ddb34cc
game-design is a skill published in the GitHub repository zhuanggenhua/BoardGame (23 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 420 once invoked, about $0.0002 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.
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