intelli-browser: Use natural language to control your browser, powered by LLM and playwright

by lvqq · Agent Tool · ★ 51

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

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

How to install intelli-browser

git clone https://github.com/lvqq/intelli-browser.git
npm install @intelli-browser/core

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

anthropicclaudeclaude-3-5-sonnetcomputer-usee2ee2e-testsplaywright

Quick Facts

Stars51
Forks4
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score76/100
Last Updated2024-11-16
Created2024-11-08
Platformsbrowser, claude-code, node
Est. Tokens~692k

About intelli-browser

Intelli-Browser Introduction Use natural language to control your browser, powered by LLM and playwright Features ✨ Use natural language to write and run e2e test cases 🧪 Generate traditional e2e test cases after executing the cases 💭 More feautes are coming soon! Feel free to open an issue or submit a pull request Demo MDN Demo Video User Task Click search and input "Web API", press "arrow...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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