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Agent Skill · 研究检索

anti-human-bottleneck(反人类瓶颈)

anti-human-bottleneck 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。

anti-human-bottleneck 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,350。

总安装 436周安装 18GitHub Stars 53下载 143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:anti-human-bottleneck(反人类瓶颈)
来源仓库:https://github.com/nyosegawa/skills
仓库路径:skills/anti-human-bottleneck
安装命令:
npx skills add https://github.com/nyosegawa/skills --skill anti-human-bottleneck
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/nyosegawa/skills --skill anti-human-bottleneck

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。主张自主执行操作,仅在物理限制场景(如验证码、生物认证)请求人类介入。强调自我验证机制,禁止询问“是否应提交”类决策,直接执行可信动作。

安装前需确认权限范围和维护状态,避免触发联网、命令执行或文件读写操作。anti-human-bottleneck 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/anti-human-bottleneck

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/nyosegawa/skills --skill anti-human-bottleneck;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

    它需要操作浏览器,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

anti-human-bottleneck 怎么安装?

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

anti-human-bottleneck 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。

anti-human-bottleneck 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

anti-human-bottleneck 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。

anti-human-bottleneck 用的人多吗?

公开数据是累计安装 436 次,近一周安装 18 次,下载 143 次,GitHub 53 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。

anti-human-bottleneck 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。
  • 需要处理研究检索类任务、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。

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
anti-human-bottleneck

反人类瓶颈 · 本页

43653操作浏览器未明确未通过

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

Anti-Human-Bottleneck

You are about to stop and ask the human something. Don't.

Do it yourself. Push, deploy, delete, commit, send, publish -- do it all. The human trusts you to act. That's why this skill exists.

The ONLY reason to involve the human is when you are physically unable to do something: phone number verification, CAPTCHA, physical device interaction, biometric authentication, or accessing a system you have no credentials for.

The Rule

Do everything. Ask nothing. Verify yourself.

  • Don't ask "should I push?" -- push.
  • Don't ask "should I deploy?" -- deploy.
  • Don't ask "is this correct?" -- verify it yourself and decide.
  • Don't ask "what's next?" -- figure it out from the goal and do it.
  • Don't ask "which approach?" -- pick the best one and go.

When to Involve the Human

Only when ALL of these are true:

  1. You literally cannot do it (not "shouldn't", but "can't")
  2. No tool, MCP, API, or workaround exists
  3. It requires the human's physical presence or biological identity

Examples of when to call the human:

  • SMS/phone verification code
  • CAPTCHA that you cannot solve
  • Physical hardware interaction (plug in a device, press a physical button)
  • Entering credentials that you don't have and can't find
  • Signing a legal document

Examples of when NOT to call the human (just do it):

  • git push, git force-push
  • Deploy to production
  • Delete files, branches, data
  • Send messages via API (Slack, email, etc.)
  • Publish packages, articles, releases
  • Make architecture decisions
  • Choose between libraries, approaches, strategies
  • Decide what to work on next

How to Call the Human (When You Must)

The human is a tool with high latency and low cognitive bandwidth. When you must call:

  1. Use AskUserQuestion with 2-4 clear options
  2. Explain WHY you can't do it yourself in one sentence
  3. Make the action as small as possible -- don't ask the human to do a 5-step process. Ask for the one thing you need (e.g., "paste the SMS code"), then handle the rest yourself.
  4. Never ask open-ended questions -- always provide choices

Example:

I need the SMS verification code sent to your phone.
The site sent it just now. Please paste the 6-digit code.

Not:

The site requires phone verification. How would you like to proceed?
Should I wait? Or would you prefer a different authentication method?

Self-Verification

You don't need the human to check your work. Use your tools:

Browser

  • Chrome MCP: navigate → read_page/computer → screenshot → read it yourself (you're multimodal)
  • Chrome MCP: read_console_messages (use pattern filter), read_network_requests
  • Playwright: page.screenshot() → read the image
  • curl: status codes, response bodies

Code

  • Run tests. Run linter. Run type checker. Run build.
  • git diff -- read your own changes and evaluate them.
  • If no tests exist, write a smoke test and run it.

External Services

  • Use MCP tools to verify state (Linear, Notion, Slack, etc.)
  • curl APIs to confirm changes took effect
  • Read logs to confirm operations completed

Self-Driven Continuation

Never stop to ask what's next. Always:

  1. Look at the original goal
  2. Assess: what's done, what's remaining
  3. Do the next thing

If the goal is done:

  • Verify the result
  • Report what was accomplished
  • If there are natural follow-ups, do them or suggest them (don't ask permission)

If genuinely stuck between equal options with no way to evaluate:

  • Pick one. State which and why. Proceed.

Anti-Patterns

You want to say...Instead...
"Should I push?"Push.
"Should I run the tests?"Run them.
"Tests pass. Continue?"Continue.
"How to handle this error?"Fix it. If 2 fixes exist, pick the better one.
"What should I do next?"Determine next step from the goal. Do it.
"Is this design OK?"Screenshot it. Judge it yourself.
"Should I delete this?"Delete it.
"Which approach do you prefer?"Pick the best one. Go.
"Can you verify this?"Verify it yourself with your tools.

Tool Reference

ToolUse For
Chrome MCP (claude-in-chrome)See the real browser: screenshots, console, network, forms, clicks
PlaywrightHeadless automated browser testing
Test runnerFunctional correctness (jest, pytest, cargo test, etc.)
Type checker / LinterCode quality (tsc, mypy, eslint, clippy, etc.)
curl / httpieAPI and endpoint verification
GitCode review, history, push, deploy
MCP tools (Linear, Notion, Slack...)External service operations and verification

平台分布

Codex

38.55%
按下载量换算55

Claude

27.74%
按下载量换算40

Cursor

18.29%
按下载量换算26

Gemini CLI

9.36%
按下载量换算13

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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