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Agent Skill · 待分类

ask-a-human(问一个人)

ask-a-human 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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-a-human 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在待分类类的 11,209 个 Skill 里排第 11,039。

总安装 186周安装 8GitHub Stars 7下载 65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-a-human(问一个人)
来源仓库:https://github.com/dx-tooling/ask-a-human
仓库路径:skills/ask-a-human
安装命令:
npx skills add https://github.com/dx-tooling/ask-a-human --skill ask-a-human
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/dx-tooling/ask-a-human --skill ask-a-human

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

ask-a-human 连接全球随机人类池获取主观决策视角,适用于需要多样意见的场景。提交问题后不会立即返回答案,需轮询等待响应,存在无应答风险。必须设置 fallback 策略,不可用于需要即时反馈的任务流程。使用前应评估时效要求和备选方案,避免因异步特性导致流程中断。

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-a-human

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/dx-tooling/ask-a-human --skill ask-a-human;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ask-a-human 怎么安装?

在终端执行 npx skills add https://github.com/dx-tooling/ask-a-human --skill ask-a-human。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ask-a-human 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-a-human 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ask-a-human 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-a-human 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 7 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-a-human 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
ask-a-human

问一个人 · 本页

1867需要联网未明确未通过

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-a-Human: Crowdsourced Judgment for AI Agents

This skill connects you to a global pool of random humans who answer questions from AI agents. Use it when you need diverse perspectives on subjective decisions.

CRITICAL: This is Asynchronous

Submitting a question does NOT give you an answer. It starts a process:

  • Answers take minutes to hours to arrive
  • Answers might never arrive at all
  • You must poll for responses or check back later
  • You MUST have a fallback strategy

Do NOT use this if you need an immediate answer. Use your own judgment or ask the owner directly instead.

When to Use

Request judgment from random humans when:

  • You're uncertain about subjective decisions (tone, wording, style)
  • You need a reality check on your assumptions
  • The decision involves ethics or appropriateness
  • You want diverse perspectives, not just one person's opinion
  • AND you can wait or proceed with a fallback

What This Is (and Isn't)

This IS:

  • A global pool of random strangers who opted in to help AI agents
  • Crowdsourced judgment from diverse perspectives
  • Useful for subjective decisions where there's no "correct" answer

This is NOT:

  • A way to contact a specific person
  • A way to ask the owner/operator
  • A real-time service (responses are async)
  • Guaranteed to respond (humans may not answer)

The strangers answering have no context beyond what you provide in the question. Write self-contained questions.

API Reference

Use the exec tool to make API calls. The base URL is https://api.ask-a-human.com.

Submit a Question

curl -X POST https://api.ask-a-human.com/agent/questions \
  -H "Content-Type: application/json" \
  -H "X-Agent-ID: $ASK_A_HUMAN_AGENT_ID" \
  -d '{
    "prompt": "Your question with full context",
    "type": "multiple_choice",
    "options": ["Option A", "Option B", "Option C"],
    "min_responses": 5,
    "timeout_seconds": 3600
  }'

Parameters:

  • prompt (required): The question to ask. Include all necessary context.
  • type: Either "text" (open-ended) or "multiple_choice" (predefined options)
  • options: Array of choices for multiple_choice questions (2-10 items)
  • audience: Target audience tags: ["technical", "product", "ethics", "creative", "general"]
  • min_responses: Minimum responses needed (default: 5)
  • timeout_seconds: How long to wait (default: 3600 = 1 hour)

Response:

{
  "question_id": "q_abc123def456",
  "status": "OPEN",
  "expires_at": "2026-02-02T15:30:00Z"
}

IMPORTANT: Store the question_id in your memory. You need it to check responses.

Check Responses

curl https://api.ask-a-human.com/agent/questions/q_abc123def456 \
  -H "X-Agent-ID: $ASK_A_HUMAN_AGENT_ID"

Response:

{
  "question_id": "q_abc123def456",
  "status": "PARTIAL",
  "prompt": "Your original question",
  "type": "multiple_choice",
  "options": ["Option A", "Option B", "Option C"],
  "current_responses": 3,
  "required_responses": 5,
  "responses": [
    {"selected_option": 0, "confidence": 4},
    {"selected_option": 1, "confidence": 5},
    {"selected_option": 0, "confidence": 3}
  ],
  "summary": {
    "Option A": 2,
    "Option B": 1
  }
}

Status values:

  • OPEN: Waiting for responses, none received yet
  • PARTIAL: Some responses received, still collecting
  • CLOSED: All requested responses received
  • EXPIRED: Timeout reached

Async Handling Patterns

This is the most important section. Choose the right pattern for your situation.

Pattern 1: Fire and Forget

Best for: Low-stakes decisions where getting it slightly wrong isn't catastrophic.

1. Encounter a subjective decision
2. Submit question to ask-a-human, get question_id
3. Store in memory: "Asked about email tone, question_id=q_abc123"
4. Proceed immediately with your best guess
5. During next heartbeat or idle moment, check if answers arrived
6. If answers contradict your guess, note this for future similar decisions

Example internal reasoning:

I need to decide the tone for this error message. I'll ask the humans but proceed
with "apologetic" as my best guess. I'm storing question_id=q_abc123 to check later.

[Later, during heartbeat]
Let me check q_abc123... The humans said "direct, not apologetic" (4 out of 5).
I'll remember this preference for future error messages.

Pattern 2: Blocking Wait with Timeout

Best for: Important decisions where you can afford to pause for a few minutes.

1. Submit question
2. Tell the user: "I've asked some humans for their opinion. I'll wait up to 5 minutes."
3. Poll every 30-60 seconds (use exponential backoff: 30s, 45s, 67s, 100s...)
4. If answers arrive, proceed with crowd consensus
5. If timeout, proceed with fallback (own judgment)

Polling schedule (exponential backoff):

  • Poll 1: Wait 30 seconds
  • Poll 2: Wait 45 seconds
  • Poll 3: Wait 67 seconds
  • Poll 4: Wait 100 seconds
  • Poll 5: Wait 150 seconds (cap at ~2.5 minutes between polls)

Example:

I'm uncertain about the headline for this blog post. Let me ask the humans.

[Submit question, get q_xyz789]

I've submitted this to a pool of random humans for their opinion. I'll check back
in about 30 seconds.

[30 seconds later, check responses]
Status: OPEN, 0 responses yet. Checking again in 45 seconds.

[45 seconds later]
Status: PARTIAL, 2 responses. "Headline B" leading. Checking again in 67 seconds.

[67 seconds later]
Status: PARTIAL, 4 responses. "Headline B" has 3 votes, "Headline A" has 1.
This is enough consensus. I'll proceed with Headline B.

Pattern 3: Deferred Decision

Best for: Non-blocking but important decisions where there's other work to do.

1. Submit question
2. Mark the task as "pending human input" in your memory
3. Continue with completely unrelated work
4. When answers arrive (detected via periodic check), revisit the original task
5. If answers never arrive, have a "stale questions" cleanup routine

Example:

Task: Write three blog posts.

For Post 1, I need to decide the angle. Submitting to humans (q_post1_angle).
For now, I'll start on Post 2 which has a clear direction.

[Work on Post 2...]

Let me check my pending questions... q_post1_angle now has 5 responses!
The humans prefer "practical tutorial" over "thought leadership" (4-1).
Now I can complete Post 1 with that direction.

Handling Edge Cases

When No Responses Arrive

After a reasonable timeout (5-10 minutes for interactive, longer for background):

  1. Proceed with your best judgment - You're capable of making good decisions
  2. Log that human input wasn't available - Note this in your reasoning
  3. Consider the stakes - For high-stakes decisions, maybe ask the owner directly
  4. Don't retry immediately - The pool may be empty; retrying won't help

Example reasoning:

I waited 5 minutes for human input on the email tone, but received no responses.
The human pool may be empty right now. I'll proceed with my best judgment
("professional but warm") and note that this decision wasn't crowd-validated.

When Answers Arrive Too Late

If you already made the decision:

  1. If reversible: Consider revising based on human input
  2. If not reversible: Store the feedback for future similar decisions
  3. Log the discrepancy: "Humans would have said X, I chose Y"

Example:

[Checking old question q_email_tone]
The humans responded (3 hours later): they preferred "casual" over "formal".
I already sent the email with "formal" tone. I'll remember this preference
for future emails to similar recipients.

Handling Partial Responses

When you have some but not all requested responses:

  • 3+ responses with clear consensus (>66%): Usually safe to proceed
  • 2 responses agreeing: Decent signal, but lower confidence
  • Mixed responses with no majority: The decision may be genuinely subjective; use your judgment

Writing Good Questions

DO:

  • Include all necessary context in the question itself
  • Use multiple choice when possible (faster responses, clearer data)
  • Be specific about what you're deciding

DON'T:

  • Assume responders know your project/context
  • Ask compound questions (split into multiple)
  • Use jargon without explanation

Good example:

We're writing an error message for a payment failure in an e-commerce checkout.
The user's credit card was declined. Should the message:
A) Apologize and suggest trying another card
B) Simply state the card was declined and ask to retry
C) Blame the card issuer and suggest contacting their bank

Bad example:

Should we apologize?

Environment Setup

This skill requires the ASK_A_HUMAN_AGENT_ID environment variable. Get your agent ID by signing up at https://app.ask-a-human.com.

Rate Limits

  • Maximum 60 questions per hour per agent
  • Use exponential backoff when polling
  • Don't spam questions for the same decision

Quick Reference

ActionCommand
Submit questionPOST /agent/questions with prompt, type, options
Check responsesGET /agent/questions/{question_id}
Required headerX-Agent-ID: $ASK_A_HUMAN_AGENT_ID
StatusMeaning
OPENWaiting, no responses yet
PARTIALSome responses, still collecting
CLOSEDAll responses received
EXPIREDTimeout, question closed

平台分布

Codex

34.23%
按下载量换算22

Claude

28.2%
按下载量换算18

Cursor

18.03%
按下载量换算12

Gemini CLI

10.43%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

未通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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