Rechercher

PythonReactSEOPDF
OpenClaw

agent-browser

Headless browser automation CLI for AI agents. Use when interacting with websites — navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, scraping, testing web apps, downloading files, or automating any browser task. Triggers on requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data", "test this web app", "login to a site", "monitor a page", or any task requiring programmatic web interaction.

bodietron0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install bodietron/openclaw-agent-browser

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Browser Automation with agent-browser

Setup

Run scripts/setup.sh to install agent-browser and Chromium. Requires Node.js.

Core Workflow

Every browser automation follows this pattern:

  1. Navigate: agent-browser open <url>
  2. Snapshot: agent-browser snapshot -i (get element refs like @e1, @e2)
  3. Interact: Use refs to click, fill, select
  4. Re-snapshot: After navigation or DOM changes, get fresh refs
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"

agent-browser fill @e1 "user@example.com"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result

Command Chaining

Chain with && when you don't need intermediate output:

agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i

Run separately when you need to parse output first (e.g., snapshot to discover refs).

Essential Commands

# Navigate
agent-browser open <url>
agent-browser close

# See the page (always do this first)
agent-browser snapshot -i              # Interactive elements with refs
agent-browser snapshot -i -C           # Include onclick divs

# Interact using @refs
agent-browser click @e1
agent-browser fill @e2 "text"
agent-browser select @e1 "option"
agent-browser press Enter
agent-browser scroll down 500

# Get info
agent-browser get text @e1
agent-browser get url
agent-browser get title

# Wait
agent-browser wait @e1                 # For element
agent-browser wait --load networkidle  # For network idle

# Capture
agent-browser screenshot page.png
agent-browser screenshot --full        # Full page
agent-browser pdf output.pdf

For the full command reference, see references/commands.md.

Ref Lifecycle (Important)

Refs (@e1, @e2) are invalidated when the page changes. Al...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/bodietron/openclaw-agent-browser
Version
—
Commit
3137f00e8a7396f4e56445718bb0d96f216a753d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Browser Automation with agent-browser

## Setup

Run `scripts/setup.sh` to install agent-browser and Chromium. Requires Node.js.

## Core Workflow

Every browser automation follows this pattern:

1. **Navigate**: `agent-browser open <url>`
2. **Snapshot**: `agent-browser snapshot -i` (get element refs like `@e1`, `@e2`)
3. **Interact**: Use refs to click, fill, select
4. **Re-snapshot**: After navigation or DOM changes, get fresh refs

```bash
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output: @e1 [input type="email"], @e2 [input type="password"], @e3 [button] "Submit"

agent-browser fill @e1 "user@example.com"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result
```

## Command Chaining

Chain with `&&` when you don't need intermediate output:

```bash
agent-browser open https://example.com && agent-browser wait --load networkidle && agent-browser snapshot -i
```

Run separately when you need to parse output first (e.g., snapshot to discover refs).

## Essential Commands

```bash
# Navigate
agent-browser open <url>
agent-browser close

# See the page (always do this first)
agent-browser snapshot -i              # Interactive elements with refs
agent-browser snapshot -i -C           # Include onclick divs

# Interact using @refs
agent-browser click @e1
agent-browser fill @e2 "text"
agent-browser select @e1 "option"
agent-browser press Enter
agent-browser scroll down 500

# Get info
agent-browser get text @e1
agent-browser get url
agent-browser get title

# Wait
agent-browser wait @e1                 # For element
agent-browser wait --load networkidle  # For network idle

# Capture
agent-browser screenshot page.png
agent-browser screenshot --full        # Full page
agent-browser pdf output.pdf
```

For the full command reference, see `references/commands.md`.

## Ref Lifecycle (Important)

Refs (`@e1`, `@e2`) are invalidated when the page changes. Al...

Skills associés

OpenClaw

openbotx

openbotx

An open-source platform for orchestrating AI agents — secure, simple, and built for everyone. Multi-agent, real-time task board, web control panel, skills system, browser automation, multi-provider, scheduler,...

OpenClaw

zsxq-digest

sealiu1997

OpenClaw skill for 知识星球 / ZSXQ digests with token-first auth and browser recovery.

OpenClaw

browser-use-skill

abczsl520

🌐 OpenClaw skill for Browser-Use — AI-powered browser automation for complex multi-step workflows (login, form filling, scraping, posting)