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 unbias38/my-claude-skills --skill codelab-handoutgit clone --depth 1 https://github.com/unbias38/my-claude-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/unbias38/my-claude-skills/codelab-handout)<a href="https://agentmods.dev/skills/unbias38/my-claude-skills/codelab-handout"><img src="https://agentmods.dev/badge/skills/unbias38/my-claude-skills/codelab-handout/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/unbias38/my-claude-skills/codelab-handout"><img src="https://agentmods.dev/badge/skills/unbias38/my-claude-skills/codelab-handout.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 | $0.00224 | $0.01505 |
| Opus 5 | $0.00112 | $0.00753 |
| Sonnet 5 | $0.00045 | $0.00301 |
| Haiku 4.5 | $0.00022 | $0.00151 |
Grade A, and why
codelab-handout 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 12d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
codelab-handout
把上課內容（口述、docx、pdf、pptx、md）轉成 Google Codelabs 風格的單檔 HTML 講義。學生雙擊就能開，左側 sticky 目錄、每章節時間標記、明暗主題、三段字級。
<SKILL_DIR>代表本SKILL.md所在的資料夾。腳本路徑為<SKILL_DIR>/scripts/build.py、範本為<SKILL_DIR>/assets/template.html。
範圍邊界
本 skill 只產 Codelabs 風格的強意見視覺設計；要忠實保留原檔樣式（Word 顏色、原圖）請用 teaching-handbook。
不要這樣修：
拿掉 build.py 的 skill 資料夾輸出守門— repo 會被產出物弄髒在 build.py 裡寫死內容改寫規則— 內容語感是步驟 2 LLM 的工作（腳本苦力 / LLM 判斷分工）
步驟 1：依輸入類型準備 markdown
| 輸入 | 處理方式 |
|---|---|
| 口述大綱／主題 | 直接寫 markdown（格式見步驟 2） |
| 現有 markdown | 跳過寫作，直接到步驟 3 |
| docx / pdf | 先轉成 markdown 再整理結構：用 markitdown CLI（pip install "markitdown[all]"）或已安裝的 markitdown skill；沒有 markitdown 時，docx 可退 pandoc／mammoth、pdf 退 pymupdf |
| pptx | 同上（markitdown CLI 或 skill）；沒有時退 python-pptx 解析，再轉 markdown |
步驟 2：撰寫 markdown
語感：講義要口語化，像老師上課的口氣（用比喻、「我們來……」、blockquote 標小提醒、適度幽默但不裝年輕）。不確定語感時讀 <SKILL_DIR>/references/example_input.md。
格式規範：
---
title: 講義標題
duration: 60 # 選填，總分鐘數
authors: 講師名字 # 選填
---
## 章節一：標題
Duration: 5
內容文字。每個 `##` 會變成一個獨立區塊與目錄項。
```python
print("程式碼區塊會自動加複製按鈕")
```
> 💡 引言會渲染成有底色的提示框
章節設計原則：
- 每個
##是一個完整步驟，學員看完一個##應該可以喘口氣 - 5–8 個章節最理想（多了側邊欄擁擠）
Duration用整數分鐘- 首章節寫「今天要做什麼」、尾章節寫「你帶走了什麼」
步驟 3：執行 build.py
⚠️ 成品不能輸出到 skill 資料夾。
scripts/build.py會主動擋下。輸入也不要放在 skill 資料夾，建議輸入跟輸出都放在使用者專案目錄或~/Documents/。
python3 <SKILL_DIR>/scripts/build.py 輸入路徑/講義.md -o 輸出路徑/講義.html
（Windows 用 python 取代 python3，下同）
範例：
python3 <SKILL_DIR>/scripts/build.py ~/Documents/lecture.md -o ~/Documents/lecture.html
依賴：Python 3.10+、markdown 套件。缺套件時腳本會提示安裝指令。
步驟 4：請使用者預覽
依使用者作業系統提供開啟指令：
- Windows：
start <檔案絕對路徑>或explorer.exe <檔案絕對路徑> - macOS：
open <檔案絕對路徑> - Linux：
xdg-open <檔案絕對路徑> - WSL（要在 Windows 瀏覽器開）：
explorer.exe "$(wslpath -w <輸出檔>)"
主題色客製
把 <SKILL_DIR>/assets/template.html 複製到你的專案目錄修改，再用 --template 指定；不要直接改 skill 資料夾內的檔案（之後更新 skill 會衝突）。
What ships with it
4 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.
- 12d ago First seen · 110 lines · 224 tokens per session scan A e26f68ba971f
codelab-handout is a skill published in the GitHub repository unbias38/my-claude-skills (2 stars, last pushed 17d ago), licensed MIT. It adds 224 tokens to every session and 1,505 once invoked, about $0.0011 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 2026-08-31.
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Guides a first-time omo user through setup and the core workflow. Use when a new user asks to get started with omo.