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 malue-ai/dazee-small --skill quiz-makergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/quiz-maker)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/quiz-maker"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/quiz-maker/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/malue-ai/dazee-small/quiz-maker"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/quiz-maker.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 | $0.00033 | $0.00640 |
| Opus 5 | $0.00016 | $0.00320 |
| Sonnet 5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
quiz-maker 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 9d 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
测验出题
根据学习材料或主题，自动生成多种题型的测验，帮助用户巩固知识。
使用场景
- 用户说「帮我出几道题」「根据这个材料出测验」「帮我复习 XX」
- 学生复习备考，需要练习题
- 教育工作者制作教学测验
- 配合间隔复习类 Skill（如已启用）做间隔重复复习
执行方式
直接使用 LLM 能力生成题目，无需额外工具。
支持的题型
1. 选择题（单选/多选）
**Q1.** 以下哪个是 Python 中的不可变数据类型？
- A. list
- B. dict
- C. tuple ✅
- D. set
> 💡 解析：tuple（元组）创建后不能修改，是不可变类型。
2. 判断题
**Q2.** 判断：HTTP 是有状态协议。
- ❌ 错误
> 💡 解析：HTTP 是无状态协议，每次请求独立，不保留之前请求的信息。
3. 填空题
**Q3.** TCP 建立连接需要 ______ 次握手。
- 答案：三
> 💡 解析：TCP 三次握手：SYN → SYN-ACK → ACK。
4. 简答题
**Q4.** 简述什么是数据库索引，以及它的优缺点。
> 参考要点：加速查询、增加写入开销、占用额外存储空间
出题策略
- 难度梯度：从易到难，先基础后综合
- 覆盖均匀：确保涵盖材料的各个章节/知识点
- 干扰项质量：选择题的错误选项要有迷惑性，不能一眼看出
- 解析详细：每道题附带解析，错了也能学到
互动模式
支持两种模式：
- 一次性出题：生成完整试卷
- 逐题模式：一次出一道，用户作答后给反馈，再出下一道
输出规范
- 默认附带答案和解析
- 如果用户要练习，先隐藏答案（用折叠格式）
- 统计对错比例，指出薄弱知识点
- 题目数量按用户要求，默认 10 道
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.
- 9d ago First seen · 86 lines · 33 tokens per session scan A eaf4dddb7e72
quiz-maker is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 640 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 2026-09-03.
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