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 Bruce1986/vibe-to-prod-lab --skill course-helpgit clone --depth 1 https://github.com/Bruce1986/vibe-to-prod-labWrote 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/bruce1986/vibe-to-prod-lab/course-help)<a href="https://agentmods.dev/skills/bruce1986/vibe-to-prod-lab/course-help"><img src="https://agentmods.dev/badge/skills/bruce1986/vibe-to-prod-lab/course-help/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/bruce1986/vibe-to-prod-lab/course-help"><img src="https://agentmods.dev/badge/skills/bruce1986/vibe-to-prod-lab/course-help.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 | $0.00043 | $0.00336 |
| Opus 5 | $0.00022 | $0.00168 |
| Sonnet 5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
course-help 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 10d 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
先讀 repo 根目錄的 README.md 與 AGENTS.md（不要憑印象猜測），然後用正體中文
（台灣用語）簡潔回覆，包含：
- 一句話說明這個 repo：臺大課程「從 Vibe Coding 到 Production Architecture」 下午場（Testing & Quality Engineering）的教學 repo，示範應用是珍奶點餐 bot， LLM 全部用預錄 fixtures 回放、零 API key。
- 三個 lab 的位置與目標（
labs/lab1-testing、labs/lab2-golden-eval、labs/lab3-production），建議照順序做：/lab1→/lab2→/lab3， 加分關/live-eval。 - 常用指令：
python -m pytest -q、ruff check app tests labs、 promptfoo golden eval（見 lab2 README）、gh workflow run eval-live.yml。 - 若學員環境還沒建好，先帶他們完成
labs/lab1-testing/README.md的第 0 步。
回覆保持在半頁以內，重點是讓學員知道「下一步做什麼」。
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.
- 10d ago First seen · 20 lines · 43 tokens per session scan A 0d73be4521cf
course-help is a skill published in the GitHub repository Bruce1986/vibe-to-prod-lab (2 stars, last pushed 19d ago), licensed MIT. It adds 43 tokens to every session and 336 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 2026-08-31.
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