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 tutorial-workflowgit 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/tutorial-workflow)<a href="https://agentmods.dev/skills/zhuanggenhua/boardgame/tutorial-workflow"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/tutorial-workflow/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/tutorial-workflow"><img src="https://agentmods.dev/badge/skills/zhuanggenhua/boardgame/tutorial-workflow.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 | $0.00030 | $0.00704 |
| Opus 5.5 | $0.00012 | $0.00282 |
| Sonnet 5.5 | $0.00006 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
tutorial-workflow 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.
What it actually says
Tutorial Workflow
这是项目适配入口。多游戏教程的唯一设计与验收正文是 tutorial-design；本文件只绑定仓库落点和验证命令。
使用入口
新增、补全、重构或审查教程，以及反馈规则遗漏、卡面读不懂、操作无理由、流程跳步、重复教学、新交互未教或退出 / 恢复异常时，读取 tutorial-design，按其中六个阶段执行。已有来源和上下文可沿用，不要求用户重复回答。
| 主源阶段 | 项目落点与检查对象 |
|---|---|
| 一、来源与范围 | 当前游戏规则目录、官方来源、正式 Board / 交互合同、实际查看的参考材料 |
| 二、目标筛选与总账 | 优先更新该游戏已有教程覆盖文档；把规则原文当候选，记录纳入 / 排除理由与图面、交互落点 |
| 三、玩家因果链 | 当前 manifest 的开局、牌序、随机、费用、状态与阶段；先用最窄领域链复演 |
| 四、决策文案 | 对应中英文语言包及 manifest 的首次教学位置 |
| 五、正式交互与生命周期 | 游戏教程注册、正式 UI、教程系统、页面生命周期与进度版本；按受影响 owner 修改 |
| 六、验收 | 当前游戏教程领域测试、真实入口全流程 E2E、关键节点截图链、视觉账本与用户查看器 |
具体游戏的固定牌序、资源数值、教程章节与参考取舍只放在该游戏实现 / 覆盖文档，不回填为通用规则。先完成来源、总账与因果链，再修改教学实现；不从扩写语言包开始。
仓库验证
改源码 / 测试先遵循 code-design。读取当前 package.json，选已有安全入口运行直接相关的领域测试；使用 node scripts/infra/vitest-cli-safe.mjs run <测试文件> --configLoader native 可限定文件。
真实页面证据遵循 e2e-verification 与 ui-audit-loop，运行 npm run test:e2e:file -- <当前教程 E2E 文件>；媒体交付引用 show-image-to-user。
- 源码变更：
npm run typecheck -- --pretty false。 - 规范变更：
npm run spec:lint、git diff --check -- .spec。 - 最终媒体：
npm run verify:e2e-evidence -- <当前 PASS 清单>。
最终汇报区分：通用流程改动、当前游戏实际改动、规则覆盖 / 操作 / 视觉 / 生命周期各自的证据与缺口。没有实际发布，不能把本地结果称作线上更新。
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 · -201 lines · -9 tokens per session 912f18f4d1bf
- 17d ago Changed 4fa98347ed79
- 19d ago Changed · +1 lines bd322ea59576
- 21d ago Changed · +2 lines 5d705daf287a
- 28d ago Changed · +2 lines 893cbcc7cb00
- 1mo ago Changed · +8 lines 366a5dd97ea8
- 1mo ago Changed · +14 lines da35518931de
- 1mo ago Changed · +8 lines 119d8318a8f2
- 1mo ago Changed b352217abd32
- 1mo ago First seen · 202 lines · 39 tokens per session scan A ea1490039c22
tutorial-workflow is a skill published in the GitHub repository zhuanggenhua/BoardGame (24 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 704 once invoked, about $0.0001 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.
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