菜单
AI-powered browser automation with human-like behavior — LinkedIn, Twitter, Indeed, GMaps, GitHub, HackerNews, MonkeyType
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
DEPRECATED. Koyeb removed its free tier. Use github-actions-deploy or n8n-workflow-deploy instead.
Deploy any automation to run on schedule using GitHub Actions. Use when user asks to deploy with cron, schedule an automation, run code automatically, or deploy for free.
Deploy serverless Python functions and AI workloads to Modal. Use when user needs GPU, AI inference, serverless Python, or scheduled AI tasks.
Deploy automations as n8n workflows — visual, webhook-driven, multi-step. Use when user asks to create a workflow, connect services visually, or deploy to n8n.
Deploy frontends, dashboards, webhooks, and API endpoints to Vercel. Use when user needs a web UI, dashboard, webhook receiver, or Next.js/React frontend.
Add 6-layer guardrail pipeline to any AI agent — RBAC, injection defense, output filtering, monitoring
| name | ghost-browser |
| description | AI-powered browser automation with human-like behavior — LinkedIn, Twitter, Indeed, GMaps, GitHub, HackerNews, MonkeyType |
| argument-hint | --agents linkedin,indeed --visible |
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
Automates any browser action with human-like behavior — LinkedIn posting, engagement, job applications, web scraping, stats tracking, and visual demos.
| Name | Type | Required | Description |
|---|---|---|---|
LINKEDIN_LI_AT | string | For LinkedIn | LinkedIn li_at cookie from DevTools |
TWITTER_AUTH_TOKEN | string | For Twitter | Twitter auth_token cookie |
TWITTER_CT0 | string | For Twitter | Twitter ct0 cookie |
YOUTUBE_API_KEY | string | For YouTube | Google Cloud API key (free) |
OPENAI_API_KEY | string | For AI comments | GPT-4o-mini for comment/cover letter generation |
| Name | Type | Description |
|---|---|---|
| LinkedIn post | Action | Published post with optional image |
| Feed data | JSON | Posts from LinkedIn feed with author, content, URN |
| Job listings | JSON | Jobs from LinkedIn/Indeed with title, company, description |
| Scraped data | JSON/CSV | Data from any website (smart/full/selector modes) |
| Stats | JSON + MD | Followers, views, connections across all platforms |
| Screenshots | PNG | Any URL, full page or element |
| Service | How to Get |
|---|---|
| LinkedIn li_at | DevTools → Application → Cookies → linkedin.com |
| Twitter auth_token + ct0 | DevTools → Application → Cookies → x.com |
| YouTube API | Google Cloud Console → YouTube Data API v3 (FREE) |
| OpenAI | platform.openai.com → API Keys |
| Component | Cost |
|---|---|
| Playwright/Chromium | Free |
| YouTube API | Free (10K units/day) |
| OpenAI (comments) | ~$0.01 per comment |
| LinkedIn/Twitter | Free (cookie auth) |
| Script | What It Does | Example Command |
|---|---|---|
orchestrator.py | Multi-agent orchestrator (8 agents, 5 combos) | python3 orchestrator.py --demo --visible |
ghost_mcp.py | MCP server (10 tools for any AI agent) | python3 ghost_mcp.py (stdio transport) |
multi_context.py | Isolated browser session manager | Used by orchestrator |
linkedin_engage.py | LinkedIn CLI — post, feed, engage, apply, connect | python3 linkedin_engage.py post --text "Hello" --image photo.jpg --visible |
universal_scraper.py | Scrape any website with 6 presets | python3 universal_scraper.py indeed --query "AI engineer" --output jobs.json |
stats_tracker.py | Pull stats from all platforms | python3 stats_tracker.py --notify |
demo_wow.py | 6-stage visual demo (viral) | python3 demo_wow.py |
monkeytype_flex.py | Speed typing demo (412 WPM) | python3 monkeytype_flex.py |
job_research.py | Browse AI jobs on LinkedIn + Indeed | python3 job_research.py |
screenshot_tool.py | Screenshot any URL | python3 screenshot_tool.py --url "https://example.com" |
human_behavior.py ← Anti-detection layer (mouse drift, idle, warmup)
↓
base_browser.py ← Playwright wrapper (cookie auth, context manager)
multi_context.py ← Isolated browser sessions (multiple contexts, 1 process)
↓
orchestrator.py ← 8 agents, 5 combos, CLI
├── agent_linkedin_feed / agent_linkedin_engage
├── agent_scrape_indeed / agent_scrape_gmaps
├── agent_twitter_trending (cookie auth: TWITTER_AUTH_TOKEN + TWITTER_CT0)
├── agent_monkeytype / agent_github_trending / agent_hacker_news
└── run_orchestrator() → parallel execution in isolated contexts
↓
ghost_mcp.py ← MCP server (10 tools) for Claude/Cursor/Codex
↓
├── 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 ← Stats + Telegram notifications
├── demo_wow.py ← Viral demo
└── job_research.py ← Job market research
| Agent | Description |
|---|---|
linkedin-feed | Scroll feed, extract posts |
linkedin-engage | Like posts with human behavior |
indeed | Scrape Indeed job listings |
gmaps | Scrape Google Maps businesses |
monkeytype | Speed typing demo (~400 WPM) |
github | Browse GitHub trending repos |
hackernews | Read top Hacker News stories |
twitter | Scrape X.com trending/search (cookie auth) |
| Combo | Agents |
|---|---|
demo | monkeytype, github, hackernews |
research | linkedin-feed, indeed, github, twitter |
lead-gen | linkedin-feed, gmaps, indeed |
social | linkedin-feed, twitter, hackernews |
full | all 6 non-demo agents |
{
"mcpServers": {
"ghost-browser": {
"command": "python3",
"args": ["/path/to/ghost_mcp.py"],
"env": { "LINKEDIN_LI_AT": "...", "OPENAI_API_KEY": "sk-..." }
}
}
}
Tools: linkedin_feed, linkedin_post, linkedin_engage, scrape_url, scrape_indeed, scrape_gmaps, scrape_twitter, typing_demo, screenshot, multi_run
| Behavior | Implementation |
|---|---|
| Typing | 40-55 WPM, char-by-char, 3-5% typo rate with backspace correction |
| Delays | Gaussian distribution (not uniform) — clusters around midpoint |
| Scrolling | Sinusoidal speed curve — slow start, fast middle, slow end |
| Clicking | Random offset from center (not dead-center like bots) |
| Reading | Wait time proportional to word count |
| Breaks | 30-120 sec pause every 15-25 actions |
| Viewport | Random from pool: 1440x900, 1920x1080, 1536x864, etc. |
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
| Skill | How |
|---|---|
scrape-leads | Scrape → enrich with ghost-browser LinkedIn data |
instantly-campaigns | Scrape leads → cold email |
gmaps-leads | Google Maps preset in universal_scraper |
cross-niche-outliers | Research content → auto-post to LinkedIn |
upwork-apply | Job research data feeds Upwork proposals |
send-telegram | Stats tracker sends notifications |
| Use Case | Revenue |
|---|---|
| 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 |
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