Borrowing it
Nothing to install: this file belongs to leihuang830102-hash/Opencode-Howto. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/leihuang830102-hash/Opencode-Howto/master/.opencode/skills/lesson-quiz/SKILL.mdgit clone --depth 1 https://github.com/leihuang830102-hash/Opencode-HowtoWrote 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/leihuang830102-hash/opencode-howto/lesson-quiz)<a href="https://agentmods.dev/skills/leihuang830102-hash/opencode-howto/lesson-quiz"><img src="https://agentmods.dev/badge/skills/leihuang830102-hash/opencode-howto/lesson-quiz/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/leihuang830102-hash/opencode-howto/lesson-quiz"><img src="https://agentmods.dev/badge/skills/leihuang830102-hash/opencode-howto/lesson-quiz.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 | $0.00052 | $0.00991 |
| Opus 5 | $0.00026 | $0.00495 |
| Sonnet 5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
lesson-quiz 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 8d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lesson Quiz
这是一个针对单个 OpenCode lesson 的完整互动测验 skill,用于检查用户对某一课的理解程度。
Instructions
Step 1: 确认 lesson
如果用户提供了参数,就映射到 lesson 目录:
01/slash-commands/commands→01-slash-commands02/memory→02-memory03/skills→03-skills04/subagents/agents→04-subagents05/mcp→05-mcp06/hooks→06-hooks07/plugins→07-plugins08/checkpoints→08-checkpoints09/advanced-features/advanced→09-advanced-features10/cli→10-cli
如果用户没提供参数,使用 AskUserQuestion 分 2-3 轮让用户选择 lesson。
Step 2: 读取 lesson 与题库
先读取:
<lesson-directory>/README.mdreferences/question-bank.md
优先使用题库中该 lesson 的预置题。
如果题库不足 8 题,可根据 lesson README 补充生成,但必须保持与 lesson 内容一致。
Step 3: 询问测验时机
用 AskUserQuestion 询问用户当前是在:
Before (pre-test)During (progress check)After (mastery check)
不同 timing 会影响结果解读。
Step 4: 出题
- 每次固定 8 题
- 每轮 2 题,共 4 轮
- 混合概念题和实践题
- 每题使用 AskUserQuestion,提供 3-4 个选项
每题必须包含这些信息:
categoryquestionoptionscorrectexplanationreview
记录用户答案,最后统一评分。
Step 5: 评分与结果输出
每题答对记 1 分,总分 8 分。
等级:
- 8:Mastered
- 6-7:Proficient
- 4-5:Developing
- 2-3:Beginning
- 0-1:Not yet
输出格式必须包含:
## Lesson Quiz Results: [Lesson Name]
**Score: N/8** — [Grade]
**Quiz timing**: [Before / During / After]
**Question breakdown**: N conceptual correct, N practical correct
### Per-Question Results
| # | Category | Question (short) | Your Answer | Result |
### Incorrect Answers — Review These
**Q[N]: [Question]**
- Your answer:
- Correct answer:
- Explanation:
- Review:
### Timing-specific message
[根据 pre-test / progress check / mastery check 给不同反馈]
### Recommended Next Steps
- [继续下一课 / 回看哪一节 / 重测 / 深入解释]
Step 6: 根据 timing 解释结果
If pre-test
- 把成绩解释为“学习前基线”
- 强调用户接下来应重点关注哪些主题
If during
- 把成绩解释为“阶段性进度检查”
- 明确哪些点已经掌握、哪些点要补
If after
- 把成绩解释为“lesson mastery check”
- 如果分数高,建议进入下一课
- 如果分数一般,列出明确回看点
What ships with it
2 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.
- 8d ago First seen · 154 lines · 52 tokens per session scan A dfd019d79bf4
lesson-quiz is a skill published in the GitHub repository leihuang830102-hash/Opencode-Howto (5 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 991 once invoked, about $0.0003 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
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.