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 mebusw/awesome-jackyshen-skills --skill jackyshen-gen-recording-course-scriptgit clone --depth 1 https://github.com/mebusw/awesome-jackyshen-skillsWrote 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/mebusw/awesome-jackyshen-skills/jackyshen-gen-recording-course-script)<a href="https://agentmods.dev/skills/mebusw/awesome-jackyshen-skills/jackyshen-gen-recording-course-script"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-gen-recording-course-script/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/mebusw/awesome-jackyshen-skills/jackyshen-gen-recording-course-script"><img src="https://agentmods.dev/badge/skills/mebusw/awesome-jackyshen-skills/jackyshen-gen-recording-course-script.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.01402 |
| Opus 5.5 | $0.00020 | $0.00561 |
| Sonnet 5.5 | $0.00010 | $0.00280 |
| Haiku 4.5 | $0.00005 | $0.00140 |
Grade A, and why
jackyshen-gen-recording-course-script 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
录播课程脚本生成器(Recorded Course Script Generator)
生成结构清晰(MECE)、内容有吸引力,并包含制作指导的视频课程脚本。针对 2–5 分钟微课优化,强调案例与类比。
核心原则(新增)
由于本课程为录播课程(单人学习场景),需遵循以下设计约束:
- 不使用小组讨论或多人互动形式
- 将“游戏 / 小组讨论 / 练习”转化为:
- 单人反思题(Reflection Questions)
- 情境故事(Story-based Simulation):通过讲述一个具体场景或模拟过程,让学员产生代入感
- 强化“心理参与感”,替代“物理互动”
生成流程(Process)
1. 定义课程参数
- 课程信息: 标题、主题、目标学员、前置知识、时长、形式
- 学习目标: 3-5 个可衡量结果(动词 + 技能 + 场景)
- 结构设计: 模块划分、每模块课程数、单课时长(建议 5-15 分钟)
2. MECE 课程结构设计
按照“相互独立、完全穷尽”原则组织:
- 基础 → 核心技能 → 应用实践
- 模块之间逐层递进
3. 单节课结构(5-15 分钟)
- 开场(5-10%): 吸引注意 + 目标 + 路线
- 主体(70-75%): 概念讲解 + 示例
- 收尾(10-15%): 总结 + 练习 + 过渡
4. 课程脚本模板(4C 结构)
## [课程标题] ([时长])
**学习成果:** [学员将获得的具体能力]
### 1. Connect / Hook(10-15秒)
*[画面:真人或字幕]*
"欢迎回来!今天我们讲的是[主题]。"
或
"你是否遇到过这样的情况?"
或
"有一个真实场景..."
👉 推荐:用**故事开场**代替提问
### 2. Concept(核心讲解)
*[画面:PPT / 图示 / Demo]*
"我们先来看一个场景..."
👉 强制要求:
- 用**类比**(Think of it like…)
- 用**案例**
- 或用**连续情境故事**推进
示例:
"假设你是一个项目经理,今天你遇到了..."
### 3. Collaborate / Practice(转为单人学习)
*[画面:问题展示]*
❌ 不再使用:
- 小组讨论
- 互动游戏
✅ 改为两种形式:
**方式一:反思题**
"现在请你停下来想一想:……"
**方式二:故事沉浸**
"接下来我带你走一遍这个场景……你会怎么做?"
👉 然后给出:
- 标准思路
- 或专家解法
### 4. Consolidate / Close(30-60秒)
*[画面:总结页]*
"今天我们讲了三点:……"
"你的行动建议是:……"
"下一节,我们会讲……"
5. 制作指导(Production Guidelines)
视觉(Visual)
- PPT:少字 + 强图形
- 镜头:平视 + 专业环境
- 强调字幕与关键点
音频(Audio)
- 清晰、自然、有节奏
- 适当停顿
- 可选轻背景音乐
表达(Delivery)
- 看镜头
- 自然手势
- 有感染力
课程类型(Lesson Types)
| 类型 | 描述 |
|---|---|
| 讲授 | 概念 + 示例 |
| 演示 | 操作步骤 |
| 访谈 | 多视角 |
| 案例 | 问题-解决 |
| 混合 | 提升参与感 |
👉 注意:优先使用案例 + 故事型讲解
最佳实践清单(Checklist)
结构:
- 清晰开场
- 明确目标
- 逻辑递进
- 有练习(单人)
- 可执行
内容:
- 口语化表达
- 多用案例和故事
- 少抽象概念
制作:
- 清晰音画
- 统一风格
- 重点突出
参与感:
- 用问题引导思考
- 用故事增强沉浸
- 用情境替代互动
Integration
参考 jackyshen-list-methods:
- MECE
- 金字塔原理
- VAK学习风格
- ORID提问法(用于反思题)
行为与规则(Behavior & Rules)
1. 需求分析与大纲设计
- 主动提问,理解目标与痛点
- 用 4C 构建结构
- 简洁、专业、聚焦问题
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.
- 2mo ago First seen · 230 lines · 49 tokens per session scan A 617a11d9e30b
jackyshen-gen-recording-course-script is a skill published in the GitHub repository mebusw/awesome-jackyshen-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 49 tokens to every session and 1,402 once invoked, about $0.0002 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 2026-08-31.
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