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Agent Skill · 研究检索

brightdata(brightdata 搜索)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

brightdata 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;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 36,037。

总安装 1,992周安装 83GitHub Stars 11,894下载 664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

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:brightdata(brightdata 搜索)
来源仓库:https://github.com/danielmiessler/personal_ai_infrastructure
仓库路径:skills/brightdata
安装命令:
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill BrightData
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill BrightData

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。

BrightData技能用于数据提取和分析,支持自定义配置和用户偏好设置。适用于需要大规模数据整理和处理的场景。在使用前会检查用户自定义配置,发送语音通知,然后执行相应操作。使用时需要确保本地8888端口可用,并正确配置认证信息。brightdata 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/brightdata

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/danielmiessler/personal_ai_infrastructure --sk…;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

brightdata 怎么安装?

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

brightdata 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。

brightdata 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。

brightdata 是免费的吗?

来源标注的许可证是 MIT。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。

brightdata 用的人多吗?

公开数据是累计安装 1,992 次,近一周安装 83 次,下载 664 次,GitHub 11,894 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。

brightdata 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 11,894 星,维护活跃度相对可查。

先想清楚的地方

  • 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
brightdata

brightdata 搜索 · 本页

1,99211,894操作浏览器MIT有提醒

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

Customization

Before executing, check for user customizations at: ~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/BrightData/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

🚨 MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)

You MUST send this notification BEFORE doing anything else when this skill is invoked.

  1. Send voice notification: curl -s -X POST http://localhost:8888/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the BrightData skill to ACTION"}' \ > /dev/null 2>&1 &
  2. Output text notification: Running the **WorkflowName** workflow in the **BrightData** skill to ACTION...

This is not optional. Execute this curl command immediately upon skill invocation.

Workflow Routing

When executing a workflow, output this notification directly:

Running the **WorkflowName** workflow in the **Brightdata** skill to ACTION...

Route to the appropriate workflow based on the request.

When user requests scraping/fetching a single URL: Examples: "scrape this URL", "fetch this page", "get content from [URL]", "pull content from this site", "retrieve [URL]", "can't access this site", "this site is blocking me", "use Bright Data to fetch" → READ: Workflows/FourTierScrape.md → EXECUTE: Four-tier progressive scraping workflow (WebFetch → Curl → Browser Automation → Bright Data MCP)

When user requests crawling multiple pages from a site: Examples: "crawl this site", "crawl all pages under /docs", "spider this domain", "map this website", "get all pages from", "crawl [URL]", "scrape the whole site", "extract all pages" → READ: Workflows/Crawl.md → EXECUTE: Crawl workflow (Light Crawl for <50 pages, Full Crawl via Bright Data Crawl API for larger sites)


When to Activate This Skill

Direct Scraping Requests (Categories 1-4)

  • "scrape this URL", "scrape [URL]", "scrape this page"
  • "fetch this URL", "fetch [URL]", "fetch this page", "fetch content from"
  • "pull content from [URL]", "pull this page", "pull from this site"
  • "get content from [URL]", "retrieve [URL]", "retrieve this page"
  • "do scraping on [URL]", "run scraper on [URL]"
  • "basic scrape", "quick scrape", "simple fetch"
  • "comprehensive scrape", "deep scrape", "full content extraction"

Access & Bot Detection Issues (Categories 5-7)

  • "can't access this site", "site is blocking me", "getting blocked"
  • "bot detection", "CAPTCHA", "access denied", "403 error"
  • "need to bypass bot detection", "get around blocking"
  • "this URL won't load", "can't fetch this page"
  • "use Bright Data", "use the scraper", "use advanced scraping"

Result-Oriented Requests (Category 8)

  • "get me the content from [URL]"
  • "extract text from [URL]"
  • "download this page content"
  • "convert [URL] to markdown"
  • "need the HTML from this site"

Crawling Requests (Categories 9-11)

  • "crawl this site", "crawl [URL]", "spider this domain"
  • "map this website", "get all pages from [URL]", "scrape the whole site"
  • "crawl all pages under /docs", "extract all pages from", "site crawl"
  • "get every page on this site", "full site extraction"
  • "crawl depth 3", "crawl up to 50 pages"

Use Case Indicators

  • User needs web content for research or analysis
  • Standard methods (WebFetch) are failing
  • Site has bot detection or rate limiting
  • Need reliable content extraction
  • Converting web pages to structured format (markdown)
  • User needs multiple pages from a site, not just one
  • User wants to map a site's structure or extract a section

Core Capabilities

Progressive Escalation Strategy:

  1. Tier 1: WebFetch - Fast, simple, built-in Claude Code tool
  2. Tier 2: Customized Curl - Chrome-like browser headers to bypass basic bot detection
  3. Tier 3: Browser Automation - Full browser automation using Playwright for JavaScript-heavy sites
  4. Tier 4: Bright Data MCP - Professional scraping service that handles CAPTCHA and advanced bot detection

Key Features:

  • Automatic fallback between tiers
  • Preserves content in markdown format
  • Handles bot detection and CAPTCHA
  • Works with any URL
  • Efficient resource usage (only escalates when needed)

Workflow Overview

FourTierScrape.md - Complete URL content scraping with four-tier fallback strategy

  • When to use: Any single URL content retrieval request
  • Process: Start with WebFetch → If fails, use curl with Chrome headers → If fails, use Browser Automation → If fails, use Bright Data MCP
  • Output: URL content in markdown format

Crawl.md - Multi-page crawling with link discovery and site mapping

  • When to use: Crawling multiple pages from a site, mapping site structure, extracting a section
  • Process: Light Crawl (MCP scrape_batch + link extraction loop, up to 50 pages) or Full Crawl (Bright Data Crawl API for entire sites)
  • Output: Site map + page contents in markdown, with crawl stats and cost summary

Extended Context

Integration Points:

  • WebFetch Tool - Built-in Claude Code tool for basic URL fetching
  • Bash Tool - For executing curl commands with custom headers
  • Browser Automation - Playwright-based browser automation for JavaScript rendering
  • Bright Data MCP - mcp__Brightdata__scrape_as_markdown and scrape_batch for advanced scraping
  • Bright Data Crawl API - HTTP POST to api.brightdata.com/datasets/v3/trigger for full-site crawls

When Each Tier Is Used:

  • Tier 1 (WebFetch): Simple sites, public content, no bot detection
  • Tier 2 (Curl): Sites with basic user-agent checking, simple bot detection
  • Tier 3 (Browser Automation): Sites requiring JavaScript execution, dynamic content loading
  • Tier 4 (Bright Data): Sites with CAPTCHA, advanced bot detection, residential proxy requirements

Configuration: No configuration required - all tools are available by default in Claude Code


Examples

Example 1: Simple Public Website

User: "Scrape https://example.com"

Skill Response:

  1. Routes to three-tier-scrape.md
  2. Attempts Tier 1 (WebFetch)
  3. Success → Returns content in markdown
  4. Total time: <5 seconds

Example 2: Site with JavaScript Requirements

User: "Can't access this site https://dynamic-site.com"

Skill Response:

  1. Routes to four-tier-scrape.md
  2. Attempts Tier 1 (WebFetch) → Fails (blocked)
  3. Attempts Tier 2 (Curl with Chrome headers) → Fails (JavaScript required)
  4. Attempts Tier 3 (Browser Automation) → Success
  5. Returns content in markdown
  6. Total time: ~15-20 seconds

Example 3: Site with Advanced Bot Detection

User: "Scrape https://protected-site.com"

Skill Response:

  1. Routes to four-tier-scrape.md
  2. Attempts Tier 1 (WebFetch) → Fails (blocked)
  3. Attempts Tier 2 (Curl) → Fails (advanced detection)
  4. Attempts Tier 3 (Browser Automation) → Fails (CAPTCHA)
  5. Attempts Tier 4 (Bright Data MCP) → Success
  6. Returns content in markdown
  7. Total time: ~30-40 seconds

Example 4: Explicit Bright Data Request

User: "Use Bright Data to fetch https://difficult-site.com"

Skill Response:

  1. Routes to four-tier-scrape.md
  2. User explicitly requested Bright Data
  3. Goes directly to Tier 4 (Bright Data MCP) → Success
  4. Returns content in markdown
  5. Total time: ~5-10 seconds

Related Documentation:

  • ~/.claude/PAI/SkillSystem.md - Canonical structure guide
  • ~/.claude/PAI/CONSTITUTION.md - Overall PAI philosophy

Last Updated: 2026-02-22

平台分布

Claude Code

24.7%
按下载量换算164

Gemini CLI

24.23%
按下载量换算161

OpenCode

17.37%
按下载量换算115

github-copilot

10.85%
按下载量换算72

clawdbot

7.97%
按下载量换算53

Cursor

3.08%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。

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