browser-automation-agent

browser-automation-agent is a skill for Claude Code, Codex from besoeasy/open-skills. It costs 21 tokens per session (1,920 once invoked), scanned A, original, MIT.

A tool for controlling a web browser from an AI agent, including opening pages, clicking controls, and filling in forms.

In plain words
What is it for?
It helps automate websites, take screenshots, create PDFs, scrape pages that use JavaScript, and test web applications.
Why use it?
It removes the need to handle browser actions manually or rely on fragile guesses about where page controls are.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps automate websites, take screenshots, create PDFs, scrape pages that use JavaScript, and test web applications.

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Install with agentmods
npx agentmods add skills/besoeasy/open-skills/browser-automation-agent
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add besoeasy/open-skills --skill browser-automation-agent
Clone the repo
git clone --depth 1 https://github.com/besoeasy/open-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for browser-automation-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/besoeasy/open-skills/browser-automation-agent/github.svg)](https://agentmods.dev/skills/besoeasy/open-skills/browser-automation-agent)
Your own site
<a href="https://agentmods.dev/skills/besoeasy/open-skills/browser-automation-agent"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/browser-automation-agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for browser-automation-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/besoeasy/open-skills/browser-automation-agent"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/browser-automation-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,920 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.01920
Opus 5 $0.00010 $0.00960
Sonnet 5 $0.00004 $0.00384
Haiku 4.5 $0.00002 $0.00192

Measured 11d ago against content hash 4f16ed173d86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

browser-automation-agent scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

const { execSync } = require('child_process');
skills/browser-automation-agent/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Browser Automation with Agent-Browser

Agent-browser is a headless browser automation CLI designed specifically for AI agents. It provides fast browser control with deterministic element selection through accessibility tree snapshots, making it ideal for agent-driven web automation workflows.

When to use

  • Use case 1: When the user asks to automate web interactions (fill forms, click buttons, navigate sites)
  • Use case 2: When you need to capture screenshots or generate PDFs of web pages
  • Use case 3: For web scraping tasks that require JavaScript rendering or complex interactions
  • Use case 4: When building automation workflows that need deterministic element references
  • Use case 5: For testing web applications with agent-driven scenarios

Required tools / APIs

  • No external API required (runs locally)
  • agent-browser: Headless browser CLI with Rust/Node.js implementation
  • Chromium: Downloaded automatically during installation

Install options:

# via npm (global)
npm install -g agent-browser
agent-browser install  # Downloads Chromium

# via Homebrew (macOS/Linux)
brew install agent-browser

# Verify installation
agent-browser --version

Skills

browser_open_and_snapshot

Open a URL and capture the accessibility tree to identify interactive elements.

# Open a webpage
agent-browser open https://example.com

# Get snapshot with element references
agent-browser snapshot

# The snapshot shows elements with @e1, @e2 references
# Example output:
# @e1 button "Sign In"
# @e2 input "Email" (email)
# @e3 input "Password" (password)

Node.js:

const { execSync } = require('child_process');

function browserCommand(cmd) {
  return execSync(`agent-browser ${cmd}`, { encoding: 'utf-8' });
}

async function openAndSnapshot(url) {
  browserCommand(`open ${url}`);
  await new Promise(r => setTimeout(r, 2000)); // Wait for page load
  const snapshot = browserCommand('snapshot');
  return snapshot; // Returns element tree with references
}

// Usage
// const elements = await openAndSnapshot('https://example.com');
// console.log(elements);

Read the full file on GitHub · 290 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 290 lines · 21 tokens per session scan A 4f16ed173d86

Subscribe to this mod's changes

browser-automation-agent is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 6d ago), licensed MIT. It adds 21 tokens to every session and 1,920 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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