Agent-Browser Automation

What it does

When your agent uses it

• Filling in and submitting a web form step by step
• Reading text or attributes from a page without pulling in the whole DOM
• Running separate browser sessions side by side for different accounts

Example prompts

• “Open the staging login page, fill in the test account and tell me what the dashboard title says.”
• “Take an interactive-only snapshot of the checkout page and click the Place order button.”
• “Wait for the text Order confirmed to appear, then capture a screenshot to ./confirm.png.”

Requirements

• The `agent-browser` command-line tool

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Always use snapshots - They're optimized for AI with refs
2. 2Prefer -i flag - Gets only interactive elements, smaller output
3. 3Use refs, not selectors - More reliable, deterministic
4. 4Re-snapshot after navigation - Page state changes
5. 5Use sessions for parallel work - Each session is isolated

What it can do on your machine

Read from SKILL.md and the folder at commit 0ef6b96. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • npx

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent-Browser Automation loads about 1.3k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 303 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~20

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ruvnet/RuView at commit 0ef6b96, republished under its MIT licence (© ruvnet). 303 words, ~1,322 tokens.

name

browser

description

Web browser automation with AI-optimized snapshots for claude-flow agents

version

1.0.0

triggers

/browser, browse, web automation, scrape, navigate, screenshot

tools

browser/open, browser/snapshot, browser/click, browser/fill, browser/screenshot, browser/close

# 1. Navigate to page
agent-browser open <url>

# 2. Get accessibility tree with element refs
agent-browser snapshot -i    # -i = interactive elements only

# 3. Interact using refs from snapshot
agent-browser click @e2
agent-browser fill @e3 "text"

# 4. Re-snapshot after page changes
agent-browser snapshot -i

# Get refs from snapshot
agent-browser snapshot -i
# Output: button "Submit" [ref=e2]

# Use ref to interact
agent-browser click @e2

agent-browser click "#submit"
agent-browser fill ".email-input" "test@test.com"

agent-browser find role button click --name "Submit"
agent-browser find label "Email" fill "test@test.com"
agent-browser find testid "login-btn" click

agent-browser open https://example.com/login
agent-browser snapshot -i
agent-browser fill @e2 "user@example.com"
agent-browser fill @e3 "password123"
agent-browser click @e4
agent-browser wait --url "**/dashboard"

agent-browser open https://example.com/contact
agent-browser snapshot -i
agent-browser fill @e1 "John Doe"
agent-browser fill @e2 "john@example.com"
agent-browser fill @e3 "Hello, this is my message"
agent-browser click @e4
agent-browser wait --text "Thank you"

agent-browser open https://example.com/products
agent-browser snapshot -i
# Iterate through product refs
agent-browser get text @e1  # Product name
agent-browser get text @e2  # Price
agent-browser get attr @e3 href  # Link

# Session 1: Navigator
agent-browser --session nav open https://example.com
agent-browser --session nav state save auth.json

# Session 2: Scraper (uses same auth)
agent-browser --session scrape state load auth.json
agent-browser --session scrape open https://example.com/data
agent-browser --session scrape snapshot -i

# Store successful patterns
npx @claude-flow/cli memory store --namespace browser-patterns --key "login-flow" --value "snapshot->fill->click->wait"

# Retrieve before similar task
npx @claude-flow/cli memory search --query "login automation"

# Pre-browse hook (get context)
npx @claude-flow/cli hooks pre-edit --file "browser-task.ts"

# Post-browse hook (record success)
npx @claude-flow/cli hooks post-task --task-id "browse-1" --success true

© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/browser of ruvnet/RuView.

Open the folder on GitHubat commit 0ef6b96

Used in 5 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in ruvnet/RuView, which our catalogue first saw on October 7, 2026.

• spencermarx/open-code-review.claude/skills/browser
• euaziel/-WiFi-CSI-Human-Pose-Detection-V2.claude/skills/browser
• ruvnet/ruflo.claude/skills/browserv3/@claude-flow/browser/skills/browser+1 more
• proffesor-for-testing/agentic-qe.claude/skills/browser.agents/skills/ruflo/.claude/skills/browser
• henryalouf/ruflowv3/@claude-flow/browser/skills/browser