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 yyz666ai/Learning-Agent --skill quiz-designergit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote 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/yyz666ai/learning-agent/quiz-designer)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/quiz-designer"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/quiz-designer/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/yyz666ai/learning-agent/quiz-designer"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/quiz-designer.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 | $0.00030 | $0.00458 |
| Opus 5 | $0.00015 | $0.00229 |
| Sonnet 5 | $0.00006 | $0.00092 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
quiz-designer 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
点击题设计
题量由知识密度、误区风险和用户时长决定，不按每页机械出题。简单点一题即可，概念密集处可以多题，但每题只检查一个判断。
规则
- 默认每个知识点 1 题，整章通常 1–4 题，不超过 10 题。
- 先问预测或情境判断，少考术语背诵。
- 2–4 个可点击选项，只有一个最佳答案；答案必须与讲解和代码一致。
- 答错给最小提示并允许重选；记录误区但不贴固定标签。
- 必答题不能绕过：下一页、页码和章节提交都必须检查最新正确记录。
- 运行输出不能替代遗漏的必答判断题。
追加练习与复习
- 用户在对话框说“再出几道题”“针对这个点多练”时，遵循明确数量；没有明确数量时根据缺口决定 1–5 道，不固定套题。只追问会真正改变题目范围的信息。
- 用户要求编程作业或项目时转
project-practice，不强制生成选择题；该题型用目标、里程碑、提示和验收标准，不造选项或单一正确选项。 - 追加题检验理解、迁移或常见误区，不与现有题重复；每题都必须有唯一正确答案和简明解释，经结构校验后才进入统一题库。
- 题库复习先显示题目、隐藏答案，再由学习者选择“没想起来 / 稍微有点困难 / 顺利”；这三个反馈决定下次复习间隔，打开卡片本身不算掌握。
- 面试简答题使用参考答案、回答结构与常见遗漏，不强行改造成选择题。
What ships with it
1 file 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.
- 9d ago First seen · 26 lines · 30 tokens per session scan A 6c7b0990181c
quiz-designer is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 9d ago), licensed MIT. It adds 30 tokens to every session and 458 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.
Other skills, from other repositories
skillpack-creator
Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with skillpack.json, local skills under skills/, starter prompts, start scripts, and an optional zip package.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
goga-discover
Interview the user relentlessly about a decision until every branch of the design tree is resolved, then record the result as a short ADR.
akirule
Aki's contextual rule router — invoke BEFORE acting whenever the task touches any of - .md/.vue/.css/.tsx/.rs/.sql files; docs, plan, README, CHANGELOG; UI, component, CSS, tailwind; SEO, schema, sitemap; release, version, commit, push, deploy; DB schema, migration; Tauri; i18n, UI copy; pricing, biz; UX review…