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Agent Skill · 研究检索

ask-questions-if-underspecified(如果未指定,请提问)

ask-questions-if-underspecified 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。

ask-questions-if-underspecified 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 48,934。

总安装 672周安装 28GitHub Stars 25下载 224核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:ask-questions-if-underspecified(如果未指定,请提问)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/ask-questions-if-underspecified
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill ask-questions-if-underspecified
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/oimiragieo/agent-studio --skill ask-questions-if-underspecified

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ask-questions-if-underspecified 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。适用于需求不明确时的信息补充和检索任务。

通过 GitHub 仓库安装,使用 npx skills add 命令添加技能。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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ask-questions-if-underspecified

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/oimiragieo/agent-studio --skill ask-questions-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ask-questions-if-underspecified 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --skill ask-questions-if-undersp…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ask-questions-if-underspecified 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ask-questions-if-underspecified 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

ask-questions-if-underspecified 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ask-questions-if-underspecified 用的人多吗?

公开数据是累计安装 672 次,近一周安装 28 次,下载 224 次,GitHub 25 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ask-questions-if-underspecified 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ask-questions-if-underspecified

如果未指定,请提问 · 本页

67225只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Ask Questions If Underspecified

Step 1: Assess Underspecification

Identify which aspects are unclear or missing:

  • Scope: What exactly should be included/excluded?
  • Constraints: Performance targets, platform requirements, security rules?
  • Acceptance criteria: How will the user judge success?
  • Priority: Which conflicting options should win?

Do NOT ask about things you can determine by reading existing code and conventions.

Step 2: Triage Questions

Categorize each candidate question:

TypeAsk or Decide?
Scope boundary (what to include)Ask
Non-functional requirement (perf/security target)Ask
Acceptance criteriaAsk
Implementation approachDecide yourself
Code style / namingDecide yourself (follow existing patterns)
Nice-to-have polishDecide yourself (proceed with sensible default)

Step 3: Ask Concisely (Max 3 Questions)

For each blocking question:

  1. State what you assume (best-guess default)
  2. Ask the specific question in one sentence
  3. Offer 2–3 concrete options when applicable

Format:

I'll [proceed with X default assumption]. Quick questions before I start:
1. [Specific question]? (default: [assumption])
2. [Specific question]? (default: [assumption])

</execution_process>

<best_practices>

  1. Provide defaults with every question: Always state your best-guess assumption so the user can simply confirm rather than answer from scratch
  2. Ask about outcomes, not implementation: "Should this support offline use?" not "Should I use IndexedDB or localStorage?"
  3. Read the codebase first: Many apparent ambiguities are resolved by existing patterns — check before asking
  4. Batch all questions in one message: Never ask one question, wait for answer, then ask another

</best_practices>

User: "Add a search feature to the dashboard"

Good response:

I'll implement client-side search with debouncing and case-insensitive matching. Quick questions before I start:
1. Should search cover all columns or just the name/title column? (default: name/title only)
2. Should results filter in place or open in a new panel? (default: filter in place)

Bad response:

Before I start, I need to know:
1. What search algorithm should I use?
2. Should it be case sensitive?
3. What debounce delay?
4. Should I use a library?
5. How many results to show?

</usage_example>

Iron Laws

  1. NEVER ask more than 3 questions at once — more than 3 questions causes decision paralysis; triage ruthlessly and decide the rest yourself.
  2. ALWAYS provide a best-guess default alongside every question — a question without a default forces the user to think from scratch; a question with a default lets them confirm in one word.
  3. NEVER ask about implementation details you can decide yourself — algorithm choice, code structure, naming conventions, and library selection are your decisions, not the user's.
  4. NEVER block on nice-to-have requirements — identify what is truly blocking vs. what can be decided with a sensible default; proceed with the default and note your assumption.
  5. ALWAYS read existing code before asking — check existing patterns, conventions, and related code first; most apparent ambiguities are resolved by looking at what already exists.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Asking 5+ questions before startingParalyzes user; feels like interrogationTriage to max 3 blocking questions; decide the rest
Asking about implementation approachThat is the agent's job, not the user'sAsk about scope/constraints/acceptance criteria only
Questions without defaultsUser must think from scratch; slower feedback loopAlways state: "default: X — correct?"
Sequential questioning (one at a time)Creates a slow back-and-forth waterfallBatch all questions into one message
Asking things visible in the codebaseShows insufficient research effortRead existing conventions before asking

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

平台分布

Claude

33.48%
按下载量换算75

Codex

33.25%
按下载量换算74

Cursor

17.8%
按下载量换算40

Gemini CLI

10.17%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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