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Agent Skill · 研究检索

ask(问)

ask 用于查找、检索和筛选相关信息,适合在 OpenClaw 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 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,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 12,690。

总安装 10,059周安装 403GitHub Stars 公开资料未说明下载 3,256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
MIT-0
版本
1.0.0

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(问)
来源仓库:https://github.com/agimodel/ask
安装命令:
openclaw skills install ask
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ask

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。

用于帮助用户深入思考问题本质,提升决策质量与提问技巧。适合面临复杂选择或需要厘清思路时使用。通过引导式对话激发反思,不提供直接答案而是促进自省。不涉及外部数据调用,仅依赖用户输入进行推理辅助。适用于 OpenClaw 环境,安装命令为 openclaw skills install ask。

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 OpenClaw;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 openclaw skills install ask;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

ask 怎么安装?

在终端执行 openclaw skills install ask。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ask 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

ask 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ask 用的人多吗?

公开数据是累计安装 10,059 次,近一周安装 403 次,下载 3,256 次。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 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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

问 · 本页

10,059—权限未标注MIT-0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

name
ask
description
>

Ask

The Question Behind the Question

Every problem has a surface question and a real question. The surface question is what you think you are asking. The real question is what you actually need to answer.

"Should I take this job offer?" is a surface question. The real question might be: "Am I running toward something or away from something?" Or: "What would I regret more — taking it or not taking it?" Or: "Do I trust this manager, and is everything else negotiable?"

The surface question has a yes or no answer. The real questions have answers that change your life.

This skill finds the real question.


How It Works

You bring any problem, decision, or situation. The skill does not answer it immediately. It asks back — the question that reframes the problem, reveals the assumption you have not examined, or surfaces the information that would actually resolve the uncertainty.

This is not therapy. It is thinking infrastructure. The goal is clarity, not comfort.


Question Types and When to Use Them

QUESTION_TAXONOMY = {
  "clarifying": {
    "purpose":  "Expose vague language that creates false certainty",
    "triggers": ["always", "never", "everyone", "nobody", "should", "can't"],
    "examples": ["What specifically do you mean by [vague term]",
                 "When you say [X], what does that look like in practice",
                 "What would have to be true for that to be false"]
  },

  "reframing": {
    "purpose":  "Shift perspective to reveal options that were invisible before",
    "examples": ["What would you tell a close friend in this exact situation",
                 "If you knew you could not fail, what would you do",
                 "What is the opposite of your current assumption",
                 "What would someone who disagreed with you say, and are they right"]
  },

  "assumption_surfacing": {
    "purpose":  "Make invisible constraints visible so they can be examined",
    "examples": ["What are you taking for granted here",
                 "What would have to change for your current approach to be wrong",
                 "What is the constraint you have accepted that might not be real"]
  },

  "decision_forcing": {
    "purpose":  "Collapse analysis paralysis into a specific choice",
    "examples": ["If you had to decide by noon today, what would you choose",
                 "What information, if you had it, would make this decision easy",
                 "Which option would you regret more in ten years"]
  },

  "root_cause": {
    "purpose":  "Get beneath symptoms to underlying causes",
    "method":   "Five Whys — ask why five times in sequence",
    "example":  """
      Problem: I keep missing deadlines
      Why 1: I underestimate how long tasks take
      Why 2: I do not break tasks into concrete steps before estimating
      Why 3: I am uncomfortable with uncertainty so I avoid detailed planning
      Why 4: Detailed plans reveal how much I do not know
      Why 5: I am afraid of looking incompetent

      Root cause: Fear of incompetence, not poor time management
      Solution: Completely different from what the surface problem suggested
    """
  }
}

Decision Framework

When the question is a decision, the skill structures it:

DECISION_FRAMEWORK = {
  "step_1_define":    "What exactly is being decided, and by when",
  "step_2_options":   "What are the real options — including the ones you are avoiding",
  "step_3_criteria":  "What does a good outcome look like — write it down before evaluating",
  "step_4_evaluate":  "Rate each option against each criterion — separately, not holistically",
  "step_5_test":      "Which option would you regret most. Which feels right when you stop thinking.",
  "step_6_decide":    "Make the decision. Most decisions are more reversible than they feel."
}

When to Stop Asking and Start Acting

Not every question needs to be answered before acting. Some questions are only answerable through action. The skill distinguishes between:

QUESTION_TYPES_BY_ANSWERABILITY = {
  "answerable_now":    "More information or clearer thinking will resolve this",
  "answerable_later":  "Only experience will answer this — act and learn",
  "unanswerable":      "No information will resolve this — decide on values, not analysis"
}

The most common mistake in thinking is treating type 2 and 3 questions as type 1 — gathering more data when the answer requires action or acceptance, not analysis.


Quality Check

  • [ ] Surface question identified
  • [ ] Real question surfaced through follow-up
  • [ ] Key assumption examined
  • [ ] Decision structured if applicable
  • [ ] Action or acceptance identified as the right next step

平台分布

OpenClaw

73.14%
按下载量换算2,381

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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