by alibaba · MCP Server · ★ 29.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is page-agent safe to install? View the security audit →
Page Agent The GUI Agent Living in Your Webpage. Control web interfaces with natural language. 🌐 English | 中文 🚀 Demo 𝕏 Follow on X <video id="demo-video" src="https://github.com/user-attachments/assets/a1f2eae2-13fb-4aae-98cf-a3fc1620a6c2" control
npm install page-agent
Taken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 29,440 |
| Forks | 2,658 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.7306779270595/100 |
| Open Issues | 112 |
| Last Updated | 2026-10-14 |
| Created | 2025-09-23 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~15k |
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page-agent is JavaScript in-page GUI agent. Control web interfaces with natural language.. It is categorized as a MCP Server with 29.4k GitHub stars.
page-agent is primarily written in TypeScript. It covers topics such as agent, ai, ai-agents.
The README on GitHub (github.com/alibaba/page-agent) gives: npm install page-agent. Usage details are in the same README.
page-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to page-agent on Agent Skills Hub include composio, E2B, voltagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: