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ghost-browser幽灵浏览器

Agent Skill

ghost-browser 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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

445

周安装

18

GitHub Stars

9

下载量

140
CodexClaudeCursorGemini CLI

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

unknown

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:ghost-browser(幽灵浏览器)
来源仓库:https://github.com/aiagentwithdhruv/skills
仓库路径:skills/ghost-browser
安装命令:
npx skills add https://github.com/aiagentwithdhruv/skills --skill ghost-browser
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/aiagentwithdhruv/skills --skill ghost-browser

简介

ghost-browser 实现浏览器自动化操作,支持 LinkedIn、Twitter 等平台的内容发布与交互模拟。

  • 基于 Playwright 与 OpenAI API,可完成登录、发帖、数据抓取等复杂任务序列。
  • 通过 npx skills add 命令安装,需配置相关平台的认证凭据方可启用高级功能。
  • 使用时应遵守目标网站的使用条款,防止因高频操作导致账号受限。
  • 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。

SKILL.md

Ghost Browser — AI-Powered Browser Automation

The browser moves on its own. No human needed.

GitHub: https://github.com/aiagentwithdhruv/ghost-browser Path: Social-Media-Agent-1.0/browser-automation/ Stack: Python 3, Playwright, OpenAI API


What It Does

Automates any browser action with human-like behavior — LinkedIn posting, engagement, job applications, web scraping, stats tracking, and visual demos.


Schema

Inputs

NameTypeRequiredDescription
LINKEDIN_LI_ATstringFor LinkedInLinkedIn li_at cookie from DevTools
TWITTER_AUTH_TOKENstringFor TwitterTwitter auth_token cookie
TWITTER_CT0stringFor TwitterTwitter ct0 cookie
YOUTUBE_API_KEYstringFor YouTubeGoogle Cloud API key (free)
OPENAI_API_KEYstringFor AI commentsGPT-4o-mini for comment/cover letter generation

Outputs

NameTypeDescription
LinkedIn postActionPublished post with optional image
Feed dataJSONPosts from LinkedIn feed with author, content, URN
Job listingsJSONJobs from LinkedIn/Indeed with title, company, description
Scraped dataJSON/CSVData from any website (smart/full/selector modes)
StatsJSON + MDFollowers, views, connections across all platforms
ScreenshotsPNGAny URL, full page or element

Credentials

ServiceHow to Get
LinkedIn li_atDevTools → Application → Cookies → linkedin.com
Twitter auth_token + ct0DevTools → Application → Cookies → x.com
YouTube APIGoogle Cloud Console → YouTube Data API v3 (FREE)
OpenAIplatform.openai.com → API Keys

Cost

ComponentCost
Playwright/ChromiumFree
YouTube APIFree (10K units/day)
OpenAI (comments)~$0.01 per comment
LinkedIn/TwitterFree (cookie auth)

Scripts Reference

ScriptWhat It DoesExample Command
linkedin_engage.pyLinkedIn CLI — post, feed, engage, apply, connectpython3 linkedin_engage.py post --text "Hello" --image photo.jpg --visible
universal_scraper.pyScrape any website with 6 presetspython3 universal_scraper.py indeed --query "AI engineer" --output jobs.json
stats_tracker.pyPull stats from all platformspython3 stats_tracker.py --notify
demo_wow.py6-stage visual demo (viral)python3 demo_wow.py
monkeytype_flex.pySpeed typing demo (412 WPM)python3 monkeytype_flex.py
job_research.pyBrowse AI jobs on LinkedIn + Indeedpython3 job_research.py
screenshot_tool.pyScreenshot any URLpython3 screenshot_tool.py --url "https://example.com"

Architecture

human_behavior.py          ← Anti-detection layer
    ↓
base_browser.py            ← Playwright wrapper (cookie auth, context manager)
    ↓
├── linkedin_browser.py    ← LinkedIn: post, like, comment, apply, connect
├── linkedin_scraper.py    ← LinkedIn: followers, connections, analytics
├── twitter_scraper.py     ← Twitter: followers, impressions
├── youtube_stats.py       ← YouTube API (no browser)
├── universal_scraper.py   ← Any website (6 presets)
└── screenshot_tool.py     ← Screenshots
    ↓
├── linkedin_engage.py     ← CLI for LinkedIn
├── stats_tracker.py       ← Master orchestrator
├── demo_wow.py            ← Viral demo
└── job_research.py        ← Job market research

Human-Like Behavior Rules

BehaviorImplementation
Typing40-55 WPM, char-by-char, 3-5% typo rate with backspace correction
DelaysGaussian distribution (not uniform) — clusters around midpoint
ScrollingSinusoidal speed curve — slow start, fast middle, slow end
ClickingRandom offset from center (not dead-center like bots)
ReadingWait time proportional to word count
Breaks30-120 sec pause every 15-25 actions
ViewportRandom from pool: 1440x900, 1920x1080, 1536x864, etc.

LinkedIn Post Flow

1. Navigate to feed
2. Click "Start a post"
3. Find Quill editor (contenteditable div)
4. Short posts (<200 chars) → human_type with typos
   Long posts (>200 chars) → insert_text (paste)
5. Attach image → file input upload
6. Click "Next" (LinkedIn image editor step)
7. Click "Post" → confirmed

Composable With

SkillHow
scrape-leadsScrape → enrich with ghost-browser LinkedIn data
instantly-campaignsScrape leads → cold email
gmaps-leadsGoogle Maps preset in universal_scraper
cross-niche-outliersResearch content → auto-post to LinkedIn
upwork-applyJob research data feeds Upwork proposals
send-telegramStats tracker sends notifications

Revenue Use Cases

Use CaseRevenue
LinkedIn automation service$500-2000/mo per client
Web scraping gigs (Fiverr/Upwork)$200-1000 per project
LinkedIn ghostwriting + auto-post$500-1500/mo per client
AI job application bot$50-200 per person
Lead generation (scrape → email)$500-2000/mo per client

Quick Start

cd Social-Media-Agent-1.0/browser-automation
pip install -r requirements.txt
playwright install chromium
cp .env.example .env  # Add your cookies

# Run the viral demo
python3 demo_wow.py

# Post to LinkedIn
python3 linkedin_engage.py post --text "Hello world" --visible

# Scrape Indeed jobs
python3 universal_scraper.py indeed --query "AI engineer" --output jobs.json

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

32.69%
按下载量换算46

Claude

32.21%
按下载量换算45

Cursor

19.94%
按下载量换算28

Gemini CLI

9.73%
按下载量换算14

安全审计

Gen Agent Trust Hub

可疑

Socket

未通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。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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