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interrogateinterrogate 效率

Agent Skill

interrogate 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

2,157

周安装

89

GitHub Stars

公开资料未说明

下载量

705
OpenClaw

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

MIT-0

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:interrogate(interrogate 效率)
来源仓库:https://github.com/inxan3/interrogate
安装命令:
openclaw skills install interrogate
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 interrogate

简介

interrogate 通过引导性问题启发用户思考,适用于前端开发与界面实现检查场景。

  • 可协助生成组件结构、调试样式逻辑或分析页面交互流程。
  • 仅当用户明确输入 /interrogate 时激活,分批次提出适应性问题。
  • 安装命令为 openclaw skills install interrogate,需确认权限与维护状态。
  • 使用前请核实是否会触发文件操作、网络请求或系统命令执行。

SKILL.md

name
interrogate
version
1.0.0
description
>

Interrogate

Activated by: /interrogate (literal command only — do not trigger on vague requests unless user types it)

Flow

1. Detect complexity

On /interrogate, read the rest of the message (if any) to understand the topic. If no topic is given, ask: *"What are we figuring out?"* before starting questions.

2. Ask in batches of 2

  • Present 2 questions at a time, each with options A / B / C / D
  • Always add a silent 5th option: user can ignore the letters and write freely — handle that naturally
  • After each batch of answers, decide:

- Is the picture clear enough? → go to step 3 - Need more clarity? → ask the next batch (max ~7 batches / ~15 questions total)

  • Keep questions tight and mutually exclusive — no overlap between options

3. Confirm before acting

When enough is understood, summarize in 3–5 bullet points:

  • What the user wants
  • Key constraints or preferences gathered
  • Anything still ambiguous (flag it)

Then ask: *"Does this match what you have in mind? Say yes to proceed, or correct anything."*

Only act after confirmation.

Question Design Rules

  • Options should be meaningfully different — not just degrees of the same thing
  • One option can always be "Something else entirely" if the space is truly open
  • Avoid leading questions — present options neutrally
  • Adapt next batch based on previous answers (tree-style branching, not fixed sequence)
  • For creative tasks: first batch should explore tone/style/audience
  • For technical tasks: first batch should explore scope/constraints/output format
  • For decisions/planning: first batch should explore goal/timeline/constraints

Format

**Q1. [Question]**
A) Option one
B) Option two
C) Option three
D) Option four

**Q2. [Question]**
A) Option one
B) Option two
C) Option three
D) Option four

*(Or just write what's on your mind — I'll adapt)*

Example opening batches

Creative task (/interrogate I want a landing page):

  • Q1: What's the primary goal of this page? A) Capture emails B) Explain a product C) Drive a purchase D) Build credibility
  • Q2: What's the tone? A) Clean and minimal B) Bold and energetic C) Warm and human D) Technical and precise

Vague task (/interrogate):

  • Ask "What are we figuring out?" first, then branch from the answer

When the user is undecided

If the user answers with "maybe", "not sure", "probably X or Y", or picks multiple options — do not re-ask. Instead:

  1. Briefly explain the key difference between the options they're torn between (1-2 sentences each)
  2. Add concrete trade-offs: cost, complexity, maintenance, limitations
  3. Give a clear recommendation based on context ("Given X, I'd go with B")
  4. Then let them confirm or override

Example: user says "A probably or maybe C" → "A (Railway URL) means it's always accessible from anywhere, zero effort, but uses a port on your Railway service. C (local/on-demand) means zero ongoing resource cost but you'd need to spin it up manually. Given you're already on Railway and want it always-on, I'd go with A."

Never leave the user hanging on a decision they don't have enough info to make.

Ending early

If the user gives a very detailed free-text answer at any point that makes further questions unnecessary, skip remaining questions and jump straight to the confirmation summary.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

76.07%
按下载量换算536

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

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。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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