agent-browser

Automatización del navegador para agentes de IA a través de inference.sh. Navega por páginas web, interactúa con elementos usando referencias @e, toma capturas de pantalla, graba video. Capacidades: raspado web, llenado de formularios, clics, escritura, arrastrar y soltar, carga de archivos, ejecución de JavaScript. Usos: automatización web, extracción de datos, pruebas, navegación de agentes, investigación. Disparadores: navegador, automatización web, raspar, navegar, hacer clic, llenar formulario, captura de pantalla, navegar por la web, playwright, navegador sin cabeza, agente web, navegar por internet, grabar video

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

Más skills de halt-catch-fire

ai-image-generation
halt-catch-fire
Genera imágenes de IA con GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve y más de 50 modelos a través de la CLI de inference.sh. Modelos: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capacidades: texto a imagen, imagen a imagen, inpainting, LoRA, edición de imágenes, escalado, renderizado de texto. Usos: arte de IA, maquetas de productos, arte conceptual, gráficos para redes sociales, imágenes de marketing, ilustraciones. Disparadores: flux, generación de imágenes, imagen de IA, texto a...
creativemediaimage
ai-video-generation
halt-catch-fire
Genera videos de IA con Google Veo, Seedance 2.0, HappyHorse, Wan, Grok y más de 40 modelos a través de la CLI de inference.sh. Modelos: Veo 3.1, Veo 3, Seedance 2.0, HappyHorse 1.0, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. Capacidades: texto a video, imagen a video, referencia a video, edición de video, sincronización de labios, animación de avatares, mejora de resolución de video, sonido foley. Usos: videos para redes sociales, contenido de marketing, videos explicativos, demostraciones de productos, avatares de IA. Disparadores: generación de video, video de IA,...
creativevideomedia
twitter-automation
halt-catch-fire
Automatiza Twitter/X con publicación, interacción y gestión de usuarios mediante la CLI de inference.sh. Aplicaciones: x/post-tweet, x/post-create (con medios), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capacidades: publicar tweets, programar contenido, dar like a publicaciones, retweetear, enviar DMs, seguir usuarios, obtener perfiles. Usar para: automatización de redes sociales, programación de contenido, bots de interacción, crecimiento de audiencia, API de X. Disparadores: twitter api, x api, automatización de tweets, publicar en twitter, bot de twitter, automatización de redes sociales, x...
marketingapicommunication
ai-avatar-video
halt-catch-fire
Crea videos de avatar AI y videos de cabezas parlantes mediante la CLI de inference.sh. Recomendado: P-Video-Avatar (más rápido, más barato, TTS integrado). También: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (más de 100 idiomas, control de emociones para personajes), ElevenLabs, Kokoro. Capacidades: avatares impulsados por audio, texto a avatar, videos de sincronización de labios, generación de cabezas parlantes, presentadores virtuales, contenido UGC. Usar para: presentadores AI, videos explicativos, influencers virtuales, doblaje, videos de marketing, anuncios UGC, avatares para juegos,...
videocreativemedia
web-search
halt-catch-fire
We need to translate the given text from English to Spanish. 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 (Tavily, Exa, inference.sh CLI), protocol names, URLs (none), numbers, and technical terms. Do not add any extra commentary or labels. Just translate the text inside <text> tags. 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" Translate to Spanish. Keep proper names as is. "inference.sh
researchweb-scrapingapi
infsh-cli
halt-catch-fire
Ejecuta más de 250 aplicaciones de IA a través de la CLI de inference.sh: generación de imágenes, creación de videos, LLMs, búsqueda, 3D, automatización de Twitter. Modelos: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter y muchos más. Úsalo al ejecutar aplicaciones de IA, generar imágenes/videos, llamar a LLMs, buscar en la web o automatizar Twitter. Disparadores: inference.sh, infsh, modelo de IA, ejecutar IA, IA sin servidor, API de IA, flux, veo, API de Claude, generación de imágenes, generación de videos, openrouter, tavily, búsqueda en Exa, API de Twitter, grok
developmentapicreative
landing-page-design
halt-catch-fire
Optimización de conversión de páginas de aterrizaje con reglas de diseño, diseño de sección hero y psicología de CTA. Cubre la fórmula above-the-fold, colocación de prueba social, diseño móvil y patrón de lectura en F. Útil para: páginas de aterrizaje de startups, páginas de producto, marketing SaaS, optimización de conversión. Disparadores: landing page, hero section, above the fold, conversion optimization, landing page design, cta button, hero image, landing page layout, saas landing page, product page design, conversion rate, landing page...
product-photography
halt-catch-fire
Fotografía de producto con IA con iluminación de estudio, tomas de estilo de vida y convenciones de packshot. Cubre ángulos, fondos, tipos de sombra, tomas principales y requisitos de imagen para comercio electrónico. Útil para: fotos de producto, imágenes de comercio electrónico, listados de Amazon, packshots, fotografía de estilo de vida. Disparadores: fotografía de producto, foto de producto, packshot, fotografía de comercio electrónico, toma de producto, imagen de producto, fotografía de estudio, producto de estilo de vida, foto de producto de Amazon, imagen de listado de producto, toma principal, maqueta de producto,...
creativeecommerceimage