agent-browser

द्वारा halt-catch-fire

AI एजेंटों के लिए inference.sh के माध्यम से ब्राउज़र ऑटोमेशन। वेब पेजों पर नेविगेट करें, @e रेफरेंस का उपयोग करके तत्वों के साथ इंटरैक्ट करें, स्क्रीनशॉट लें, वीडियो रिकॉर्ड करें। क्षमताएं: वेब स्क्रैपिंग, फॉर्म भरना, क्लिक करना, टाइप करना, ड्रैग-ड्रॉप, फ़ाइल अपलोड, जावास्क्रिप्ट निष्पादन। उपयोग करें: वेब ऑटोमेशन, डेटा निष्कर्षण, परीक्षण, एजेंट ब्राउज़िंग

npx skills add https://github.com/halt-catch-fire/skills --skill agent-browser

Install the belt CLI skill: npx skills add belt-sh/cli

Agentic Browser

Browser automation for AI agents via inference.sh. Uses Playwright under the hood with a simple @e ref system for element interaction.

Agentic Browser

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Open a page and get interactive elements
belt app run agent-browser --function open --input '{"url": "https://example.com"}' --session new

Core Workflow

Every browser automation follows this pattern:

  1. Open - Navigate to URL, get @e refs for elements
  2. Interact - Use refs to click, fill, drag, etc.
  3. Re-snapshot - After navigation/changes, get fresh refs
  4. Close - End session (returns video if recording)
# 1. Start session
RESULT=$(belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com/login"
}')
SESSION_ID=$(echo $RESULT | jq -r '.session_id')
# Elements: @e1 [input] "Email", @e2 [input] "Password", @e3 [button] "Sign In"

# 2. Fill and submit
belt app run agent-browser --function interact --session $SESSION_ID --input '{
  "action": "fill", "ref": "@e1", "text": "user@example.com"
}'
belt app run agent-browser --function interact --session $SESSION_ID --input '{
  "action": "fill", "ref": "@e2", "text": "password123"
}'
belt app run agent-browser --function interact --session $SESSION_ID --input '{
  "action": "click", "ref": "@e3"
}'

# 3. Re-snapshot after navigation
belt app run agent-browser --function snapshot --session $SESSION_ID --input '{}'

# 4. Close when done
belt app run agent-browser --function close --session $SESSION_ID --input '{}'

Functions

FunctionDescription
openNavigate to URL, configure browser (viewport, proxy, video recording)
snapshotRe-fetch page state with @e refs after DOM changes
interactPerform actions using @e refs (click, fill, drag, upload, etc.)
screenshotTake page screenshot (viewport or full page)
executeRun JavaScript code on the page
closeClose session, returns video if recording was enabled

Interact Actions

ActionDescriptionRequired Fields
clickClick elementref
dblclickDouble-click elementref
fillClear and type textref, text
typeType text (no clear)text
pressPress key (Enter, Tab, etc.)text
selectSelect dropdown optionref, text
hoverHover over elementref
checkCheck checkboxref
uncheckUncheck checkboxref
dragDrag and dropref, target_ref
uploadUpload file(s)ref, file_paths
scrollScroll pagedirection (up/down/left/right), scroll_amount
backGo back in history-
waitWait millisecondswait_ms
gotoNavigate to URLurl

Element Refs

Elements are returned with @e refs:

@e1 [a] "Home" href="/"
@e2 [input type="text"] placeholder="Search"
@e3 [button] "Submit"
@e4 [select] "Choose option"
@e5 [input type="checkbox"] name="agree"

Important: Refs are invalidated after navigation. Always re-snapshot after:

  • Clicking links/buttons that navigate
  • Form submissions
  • Dynamic content loading

Features

Video Recording

Record browser sessions for debugging or documentation:

# Start with recording enabled (optionally show cursor indicator)
SESSION=$(belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com",
  "record_video": true,
  "show_cursor": true
}' | jq -r '.session_id')

# ... perform actions ...

# Close to get the video file
belt app run agent-browser --function close --session $SESSION --input '{}'
# Returns: {"success": true, "video": <File>}

Cursor Indicator

Show a visible cursor in screenshots and video (useful for demos):

belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com",
  "show_cursor": true,
  "record_video": true
}'

The cursor appears as a red dot that follows mouse movements and shows click feedback.

Proxy Support

Route traffic through a proxy server:

belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com",
  "proxy_url": "http://proxy.example.com:8080",
  "proxy_username": "user",
  "proxy_password": "pass"
}'

File Upload

Upload files to file inputs:

belt app run agent-browser --function interact --session $SESSION --input '{
  "action": "upload",
  "ref": "@e5",
  "file_paths": ["/path/to/file.pdf"]
}'

Drag and Drop

Drag elements to targets:

belt app run agent-browser --function interact --session $SESSION --input '{
  "action": "drag",
  "ref": "@e1",
  "target_ref": "@e2"
}'

JavaScript Execution

Run custom JavaScript:

belt app run agent-browser --function execute --session $SESSION --input '{
  "code": "document.querySelectorAll(\"h2\").length"
}'
# Returns: {"result": "5", "screenshot": <File>}

Deep-Dive Documentation

ReferenceDescription
references/commands.mdFull function reference with all options
references/snapshot-refs.mdRef lifecycle, invalidation rules, troubleshooting
references/session-management.mdSession persistence, parallel sessions
references/authentication.mdLogin flows, OAuth, 2FA handling
references/video-recording.mdRecording workflows for debugging
references/proxy-support.mdProxy configuration, geo-testing

Ready-to-Use Templates

TemplateDescription
templates/form-automation.shForm filling with validation
templates/authenticated-session.shLogin once, reuse session
templates/capture-workflow.shContent extraction with screenshots

Examples

Form Submission

SESSION=$(belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com/contact"
}' | jq -r '.session_id')

# Get elements: @e1 [input] "Name", @e2 [input] "Email", @e3 [textarea], @e4 [button] "Send"

belt app run agent-browser --function interact --session $SESSION --input '{"action": "fill", "ref": "@e1", "text": "John Doe"}'
belt app run agent-browser --function interact --session $SESSION --input '{"action": "fill", "ref": "@e2", "text": "john@example.com"}'
belt app run agent-browser --function interact --session $SESSION --input '{"action": "fill", "ref": "@e3", "text": "Hello!"}'
belt app run agent-browser --function interact --session $SESSION --input '{"action": "click", "ref": "@e4"}'

belt app run agent-browser --function snapshot --session $SESSION --input '{}'
belt app run agent-browser --function close --session $SESSION --input '{}'

Search and Extract

SESSION=$(belt app run agent-browser --function open --session new --input '{
  "url": "https://google.com"
}' | jq -r '.session_id')

belt app run agent-browser --function interact --session $SESSION --input '{"action": "fill", "ref": "@e1", "text": "weather today"}'
belt app run agent-browser --function interact --session $SESSION --input '{"action": "press", "text": "Enter"}'
belt app run agent-browser --function interact --session $SESSION --input '{"action": "wait", "wait_ms": 2000}'

belt app run agent-browser --function snapshot --session $SESSION --input '{}'
belt app run agent-browser --function close --session $SESSION --input '{}'

Screenshot with Video

SESSION=$(belt app run agent-browser --function open --session new --input '{
  "url": "https://example.com",
  "record_video": true
}' | jq -r '.session_id')

# Take full page screenshot
belt app run agent-browser --function screenshot --session $SESSION --input '{
  "full_page": true
}'

# Close and get video
RESULT=$(belt app run agent-browser --function close --session $SESSION --input '{}')
echo $RESULT | jq '.video'

Sessions

Browser state persists within a session. Always:

  1. Start with --session new on first call
  2. Use returned session_id for subsequent calls
  3. Close session when done

Related Skills

# Web search (for research + browse)
npx skills add inference-sh/skills@web-search

# LLM models (analyze extracted content)
npx skills add inference-sh/skills@llm-models

Documentation

halt-catch-fire की और Skills

ai-image-generation
halt-catch-fire
inference.sh CLI के माध्यम से GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve और 50+ मॉडलों के साथ AI इमेज जनरेट करें। मॉडल: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt। क्षमताएँ: टेक्स्ट-टू-इमेज, इमेज-टू-इमेज, इनपेंटिंग, LoRA, इमेज एडिटिंग, अपस्केलिंग, टेक्स्ट रेंडरिंग। उपयोग: AI कला, उत्पाद मॉकअप, कॉन्सेप्ट आर्ट, सोशल मीडिया ग्राफ
creativemediaimage
ai-video-generation
halt-catch-fire
Google Veo, Seedance 2.0, HappyHorse, Wan, Grok और inference.sh CLI के माध्यम से 40+ मॉडलों के साथ AI वीडियो बनाएं। मॉडल: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo। क्षमताएं: टेक्स्ट-टू-वीडियो, इमेज-टू-वीडियो, रेफरेंस-टू-वीडियो, वीडियो एडिटिंग, लिपसिंक, अवतार एनिमेशन, वीडियो अपस्केलिंग, फोले साउंड। उपयोग: सोशल मी
creativevideomedia
twitter-automation
halt-catch-fire
We need to translate the given English text into Hindi. The text describes an agent skill for Twitter/X automation. We must preserve the name "twitter-automation" but it's not in the text, so we don't include it. We translate only the text inside <text>. No extra labels, no markdown, no bullets. Just the translation. The text: "Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x..." Translate to Hindi. Keep technical terms like "inference.sh CLI", "x/post-tweet", etc. as is.
marketingapicommunication
ai-avatar-video
halt-catch-fire
We need to translate the given English text into Hindi. The text describes an agent skill for creating AI avatar and talking head videos via inference.sh CLI. It lists recommended tools and capabilities. We must preserve product names, protocol names, URLs, numbers, technical terms. The name "ai-avatar-video" is not in the text, so we don't include it. We translate only the text inside <text>. No extra commentary, labels, etc. Let's translate: "Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars
videocreativemedia
web-search
halt-catch-fire
We need to translate the given English text to Hindi. The text describes a web search and content extraction skill using Tavily and Exa via inference.sh CLI. It lists apps, capabilities, uses, and triggers. We must preserve product names like Tavily, Exa, inference.sh CLI, and technical terms like RAG, AI, etc. No extra commentary. Translate naturally. The text: "Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative" Translation to Hindi: "Tavily और Exa के साथ inference.sh CLI के माध्यम से वेब खो
researchweb-scrapingapi
infsh-cli
halt-catch-fire
We need to translate the given English text into Hindi, preserving the name "infsh-cli" if it appears, but it doesn't appear in the text. The text describes an agent skill for running AI apps via inference.sh CLI. We must not add any extra commentary, labels, or formatting. Just the translation. The text: "Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok" Translate to Hindi. Keep product names, protocol names, URLs
developmentapicreative
landing-page-design
halt-catch-fire
लैंडिंग पृष्ठ रूपांतरण अनुकूलन, लेआउट नियमों, हीरो सेक्शन डिज़ाइन और CTA मनोविज्ञान के साथ। इसमें अबव-द-फोल्ड फॉर्मूला, सोशल प्रूफ प्लेसमेंट, मोबाइल डिज़ाइन और F-पैटर्न रीडिंग शामिल है। इसका उपयोग करें: स्टार्टअप लैंडिंग पृष्ठ, उत्पाद पृष्ठ, SaaS मार्केटिंग, रूपांतरण अनुकूलन। ट्रिगर: लैंडिंग पृष्ठ, हीरो सेक्शन, अबव द फोल्ड, रूपांतरण अन
product-photography
halt-catch-fire
एआई उत्पाद फोटोग्राफी जिसमें स्टूडियो लाइटिंग, लाइफस्टाइल शॉट्स और पैकशॉट कन्वेंशन शामिल हैं। इसमें एंगल्स, बैकग्राउंड, शैडो प्रकार, हीरो शॉट्स और ई-कॉमर्स इमेज आवश्यकताओं को कवर किया गया है। इस
creativeecommerceimage