Agent browser

Skill FridrichMethod/awesome-skills/skills/agent-browser

Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.From its SKILL.md

Install

npx -y skills add FridrichMethod/awesome-skills --skill agent-browser

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

4.7 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

Browser Automation with agent-browser

Quick start

agent-browser open <url>        # Navigate to page
agent-browser snapshot -i       # Get interactive elements with refs
agent-browser click @e1         # Click element by ref
agent-browser fill @e2 "text"   # Fill input by ref
agent-browser close             # Close browser

Core workflow

Navigate: agent-browser open <url>
Snapshot: agent-browser snapshot -i (returns elements with refs like @e1, @e2)
Interact using refs from the snapshot
Re-snapshot after navigation or significant DOM changes

Commands

Navigation

agent-browser open <url>      # Navigate to URL
agent-browser back            # Go back
agent-browser forward         # Go forward
agent-browser reload          # Reload page
agent-browser close           # Close browser

Snapshot (page analysis)

agent-browser snapshot            # Full accessibility tree
agent-browser snapshot -i         # Interactive elements only (recommended)
agent-browser snapshot -c         # Compact output
agent-browser snapshot -d 3       # Limit depth to 3
agent-browser snapshot -s "#main" # Scope to CSS selector

Interactions (use @refs from snapshot)

agent-browser click @e1           # Click
agent-browser dblclick @e1        # Double-click
agent-browser fill @e2 "text"     # Clear and type
agent-browser type @e2 "text"     # Type without clearing
agent-browser press Enter         # Press key
agent-browser hover @e1           # Hover
agent-browser check @e1           # Check checkbox
agent-browser uncheck @e1         # Uncheck checkbox
agent-browser select @e1 "value"  # Select dropdown option
agent-browser scroll down 500     # Scroll page
agent-browser upload @e1 file.pdf # Upload files

Get information

agent-browser get text @e1        # Get element text
agent-browser get html @e1        # Get innerHTML
agent-browser get value @e1       # Get input value
agent-browser get attr @e1 href   # Get attribute
agent-browser get title           # Get page title
agent-browser get url             # Get current URL
agent-browser get count ".item"   # Count matching elements

Screenshots & PDF

agent-browser screenshot          # Save to temp directory
agent-browser screenshot path.png # Save to specific path
agent-browser screenshot --full   # Full page
agent-browser pdf output.pdf      # Save as PDF

Wait

agent-browser wait @e1                     # Wait for element
agent-browser wait 2000                    # Wait milliseconds
agent-browser wait --text "Success"        # Wait for text
agent-browser wait --url "**/dashboard"    # Wait for URL pattern
agent-browser wait --load networkidle      # Wait for network idle

Semantic locators (alternative to refs)

agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "[email protected]"
agent-browser find placeholder "Search" type "query"

Authentication with saved state

# Login once
agent-browser open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "username"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser wait --url "**/dashboard"
agent-browser state save auth.json

# Later: load saved state
agent-browser state load auth.json
agent-browser open https://app.example.com/dashboard

Cookies & Storage

agent-browser cookies                     # Get all cookies
agent-browser cookies set name value      # Set cookie
agent-browser cookies clear               # Clear cookies
agent-browser storage local               # Get localStorage
agent-browser storage local set k v       # Set value

JavaScript

agent-browser eval "document.title"   # Run JavaScript

Example: Form submission

agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]

agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i  # Check result

Example: Data extraction

agent-browser open https://example.com/products
agent-browser snapshot -i
agent-browser get text @e1  # Get product title
agent-browser get attr @e2 href  # Get link URL
agent-browser screenshot products.png

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 1 of the 12 instructions most context ai engineering skills give in ~1.0k tokens

Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-07

Dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
Dispatch a final code reviewer after all tasksin 33 of 1193, across 8 files
Provide full task text to the subagentin 30 of 1193, across 9 files
Review spec compliance before code qualityin 27 of 1193, across 10 files
Make the hook script executablein 26 of 1193, across 8 files
Re-snapshot after navigation or DOM changeshere, and in 25 of 1193, across 19 files
Read files before editing themin 22 of 1193, across 11 files
Answer subagent questions before proceedingin 22 of 1193, across 7 files
Mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
Merge hook into existing settingsin 21 of 1193, across 3 files
Ask if installation is global or projectin 20 of 1193, across 2 files
Copy the hook script to target locationin 20 of 1193, across 2 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.