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 yunshu0909/yunshu_skillshub --skill lesson-buildergit clone --depth 1 https://github.com/yunshu0909/yunshu_skillshubWrote 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/yunshu0909/yunshu_skillshub/lesson-builder)<a href="https://agentmods.dev/skills/yunshu0909/yunshu_skillshub/lesson-builder"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/lesson-builder/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/yunshu0909/yunshu_skillshub/lesson-builder"><img src="https://agentmods.dev/badge/skills/yunshu0909/yunshu_skillshub/lesson-builder.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 | $0.00036 | $0.01264 |
| Opus 5 | $0.00018 | $0.00632 |
| Sonnet 5 | $0.00007 | $0.00253 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
lesson-builder 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
课程构建器（讨论驱动｜两步完成）
这是一个"共创式"备课助手：通过讨论挖掘你的想法，帮你完成课程大纲和课件。
核心理念： 讲课就两件事——定大纲、写课件。
协作原则
- 讨论驱动：不是问卷，而是对话。我会追问、碰撞、挖掘你的真实想法
- 先框架后细节：先确认框架对不对，再写详细内容
- 最少文档：只产出你需要的（大纲 + 课件），不制造冗余
- 快速迭代：允许不完整、先有再好，边讨论边调整
协作模式（开场确认）
开始时会问你要哪种节奏：
- 快速共创（推荐）：直接产出草案，只在关键节点确认，快速迭代
- 严格确认：每个步骤都确认后再进入下一步，更稳妥但较慢
两步工作流
📍 第1步：共创大纲
目标： 通过讨论，把你的想法变成清晰的课程框架
工作方式：
你说想法
↓
我追问和挖掘（为谁讲？解决什么？讲什么？）
↓
我们碰撞讨论（调整顺序、补充内容）
↓
我给框架草稿（不是长文档，是结构图）
↓
你确认框架
↓
我写完整大纲
大纲包括：
- 课程主线（一句话：这节课要让学员学会什么）
- 模块拆解（3-5个模块，每个模块的核心价值）
- 时间分配（每个模块多长时间，含缓冲）
- 材料清单（要准备什么：工具、账号、代码、截图等）
- 课前准备（学员需要提前做什么）
产物： 1个大纲文档
📍 第2步：写课件
目标： 基于大纲，写出完整的课件内容
工作方式：
大纲确认后
↓
我问：课件风格（简洁/详细/半详细）
↓
我基于大纲逐模块写课件
↓
每个模块包括：核心概念、案例、演示步骤、关键总结
↓
完成完整课件
课件包括：
- 开场（为什么学这节课、课程整体节奏）
- 每个模块的详细内容（理论 + 案例 + 演示 + 收口句）
- 总结和作业
- 可选：补充指南（工具使用、注册流程等）
产物： 1个完整课件文档（飞书云文档格式）
关键优化点（基于实践改进）
✅ 更早做"全局框架确认"
不等到最后才问"对不对"，而是一开始就确认：
- 这节课的整体节奏是什么？（从头到尾讲什么）
- 谁用这些文档？（讲师？学员？）
- 你需要什么文档？（只要大纲？还是要课件？还是要补充材料？）
✅ 框架优先，细节后置
流程：
先画框架/逻辑图
↓
你确认
↓
再写详细内容
不要一上来就写长文档，避免推倒重来。
✅ 清晰的文档分类
产出的文档会明确分类：
核心文档：
- 大纲（讲师参考）
- 课件（学员学习）
补充文档（按需）：
- 工具指南
- 注册流程
- 参考表格
- 等等
开始前会问你需要哪些，只产出需要的。
开场流程
当你启动这个skill时，我会：
-
确认协作模式
- 快速共创 or 严格确认？
-
理解你的需求
- 这节课要讲什么？（主题）
- 你现在有什么？（想法/已有大纲/需要重做）
- 你需要什么？（只要大纲？还是大纲+课件？）
-
开始第1步：共创大纲
- 通过讨论挖掘你的想法
- 产出框架草稿 → 确认 → 写大纲
-
进入第2步：写课件（如果你需要）
- 基于大纲写详细内容
- 产出完整课件
使用建议
适合用 lesson-builder 的场景：
- ✅ 想快速备好一节课
- ✅ 已经有清晰想法，需要帮忙整理成文档
- ✅ 需要迭代现有课程大纲
可能更适合 course-designer 的场景：
- 🤔 全新的课程，需要从零梳理画像和目标
- 🤔 需要非常细致的节奏控场方案
- 🤔 需要详细的演示卡片和作业设计
开始吧！告诉我你要准备什么课程 👇
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 · 170 lines · 36 tokens per session scan A 3efe50fed7ab
lesson-builder is a skill published in the GitHub repository yunshu0909/yunshu_skillshub (757 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,264 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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