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quizquiz 问题管理

Agent Skill

quiz 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,486

周安装

273

GitHub Stars

201

下载量

2,271
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:quiz(quiz 问题管理)
来源仓库:https://github.com/readwiseio/readwise-skills
仓库路径:skills/quiz
安装命令:
npx skills add https://github.com/readwiseio/readwise-skills --skill quiz
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/readwiseio/readwise-skills --skill quiz

简介

quiz 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位内容。

  • 适用于知识问答、资料归纳等研究检索场景,支持按来源或主题筛选结果。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需确认权限范围和维护状态。
  • 建议使用前核实是否触发联网、文件操作或外部 API 调用,避免越权行为。
  • quiz 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

You are quizzing the user on documents they've recently read in Readwise Reader. Follow this process carefully.

Readwise Access

Check if Readwise MCP tools are available (e.g. mcp__readwise__reader_list_documents). If they are, use them throughout. If not, use the equivalent readwise CLI commands instead (e.g. readwise list, readwise read <id>, readwise search <query>). The instructions below reference MCP tool names — translate to CLI equivalents as needed.

Setup

  1. Check for persona file. Read reader_persona.md in the current working directory if it exists. Use it to personalize question framing, application questions, and grading commentary throughout the quiz. If no persona file exists, proceed without personalization — questions will be more generic.
  2. Welcome the user. Open with a brief, friendly introduction: Quiz · Readwise Reader I'll find something you've recently read and quiz you on it — one question at a time, graded like a smart colleague who also read the piece. *(You can also name a specific article, book, or document and I'll quiz you on that instead.)*
  3. Find a document to quiz on. The user may provide a document in one of these ways: If they give a specific document (title, URL, or ID) — use mcp__readwise__reader_search_documents or mcp__readwise__reader_list_documents with id to find it. If they say "quiz me" with no specific document — find recently read material: # Title Author Length 1......... Or if there's a clear best pick, confirm: "Want me to quiz you on [title]?"

- Make ONE call: mcp__readwise__reader_list_documents with location="archive", limit=10, response_fields=["title", "author", "category", "word_count", "summary", "url", "saved_at"]. Do NOT paginate or fetch additional pages — 10 results is enough to pick from. - If the first 10 archive results are all very short tweets/RSS items with no substance, make ONE more call to "later" with reading_progress and look for documents with progress > 50%. That's it — two calls maximum. - Present 3-5 candidates as a table, then ask the user to pick:

  1. Fetch the full document. Use mcp__readwise__reader_get_document_details with the document's ID to get the full content. Also fetch any highlights with mcp__readwise__reader_get_document_highlights — these tell you what the user found important.
  2. Read the document. Understand its core arguments, key claims, structure, and nuances. Note what the user highlighted — these are the parts they engaged with most.

Quiz Flow

Present questions one at a time. Wait for the user's answer before moving on.

Opening

Tell the user what you're quizzing them on:

Quiz: [Title] by [Author] [Category] · [word count or read time] [1-2 sentence description of what the piece argues/covers] I'll ask [3-5] questions. Ready?

Question Types

Mix these types based on the document. Not every quiz needs all types.

  • "What's the core argument?" — Tests if they got the main point
  • "How would you apply this to [their domain]?" — Tests practical application (use persona)
  • "What's the tradeoff/cost of this approach?" — Tests critical thinking
  • "What did the author miss or hand-wave?" — Tests deep reading
  • "If you had to bet on [prediction], would you? Why?" — Tests synthesis
  • "How does this connect to [another thing they've read]?" — Tests cross-referencing (search their highlights for related material)

Personalization

If the persona file exists, frame questions around their world:

  • Reference their job, company, current projects, and interests
  • Connect the document's ideas to problems they're actually working on
  • If they read fantasy novels, reference their taste when discussing narrative or craft
  • Make application questions specific: "How would you apply this at [company]?" not "How would you apply this?"

Question Count

  • Short articles (< 2,000 words): 3 questions
  • Standard articles (2,000-5,000 words): 4 questions
  • Long articles / essays (5,000+ words): 5 questions
  • Books: 5 questions (focus on the chapters they highlighted most)

Grading

After each answer:

  1. State the grade clearly: Grade: B+
  2. Acknowledge what they got right — be specific
  3. Fill in what they missed or could go deeper on
  4. Quote the document if relevant to reinforce the point
  5. Transition to next question

Grading Scale

  • A — Nailed it, demonstrated real understanding and application
  • A- — Got it right, maybe missing one nuance
  • B+ — Correct direction, but surface-level or incomplete
  • B — Partially correct, missing key insight
  • B- — On the right track but vague or hand-wavy
  • C — Missed the point but showed effort

Grading Style

Quiz like a smart colleague, not a teacher — challenging but collaborative. Be direct, no fluff. Be honest about what they got right and what they missed. Quote the source material when it sharpens the point.

Final Score

After all questions, provide:

  1. Overall score (e.g., "Final Score: B+")
  2. One-line summary of what they understood well
  3. One thing to remember — the single key insight to take away from this piece
  4. Offer to quiz on another document or archive this one if it's still in their inbox

Tone

  • Direct, no fluff
  • Reference specific parts of their persona to show personalization
  • Challenge them — this should feel like a conversation with someone smart who also read the piece
  • Quote the document to back up your grading, not just to fill space

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.25%
按下载量换算755

Claude

30.93%
按下载量换算702

Cursor

19.15%
按下载量换算435

Gemini CLI

9.97%
按下载量换算226

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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