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.
npx skills add besoeasy/open-skills --skill browser-automation-agentgit clone --depth 1 https://github.com/besoeasy/open-skillsWrote 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.
[](https://agentmods.dev/skills/besoeasy/open-skills/browser-automation-agent)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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'); 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);
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.
- 11d ago First seen · 290 lines · 21 tokens per session scan A 4f16ed173d86
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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Drive a headless Chrome over the Chrome DevTools Protocol (CDP) for browser QA — navigate, click, fill forms, read the DOM/accessibility tree, screenshot, and assert. Use whenever a task requires loading a web page and interacting with it like a user. Chrome is launched by a bash step (recipe below); this skill…
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Browse the web using assistant browser CLI commands.
browser-qa
A browser-based quality check for deployed web pages and user flows. It uses browser automation to test rendering, navigation, forms, interactions, responsive behaviour, and accessibility-related issues.