browser-use — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by browser-use · Agent Tool · ★ 117.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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Featured in: browser-use, Playwright MCP & AI Browser Agents

About browser-use

Agents that use the browser.

ai-agentsai-toolsbrowser-automationbrowser-usellmplaywrightpython

Quick Facts

Stars117,359
Forks12,955
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score64.5684303881146/100
Open Issues542
Last Updated2026-10-07
Created2024-10-31
Platformsbrowser, python
Est. Tokens~15k

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Frequently Asked Questions

What is browser-use?

browser-use is Agents that use the browser.. It is categorized as a Agent Tool with 117.4k GitHub stars.

What programming language is browser-use written in?

browser-use is primarily written in Python. It covers topics such as ai-agents, ai-tools, browser-automation.

How do I install or use browser-use?

You can find installation instructions and usage details in the browser-use GitHub repository at github.com/browser-use/browser-use. The project has 117.4k stars and 12955 forks, indicating an active community.

What license does browser-use use?

browser-use is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to browser-use?

The top alternatives to browser-use on Agent Skills Hub include OpenCLI, Scrapling, TrendRadar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Agent Tool tools