midscene: See interfaces like a human. E2E testing in natural language

by web-infra-dev · AI Tool · ★ 15.5k

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

Security audit verdict: SAFE · quality 59/100

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. Full audit →

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.

browser-usecomputer-usee2e-testinggpt-operatorgui-agentjavascriptphone-usetesting

Quick Facts

Stars15,542
Forks1,216
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score59/100
Open Issues95
Last Updated2026-11-07
Created2024-07-23
Platformsbrowser, node
Est. Tokens~16k

About midscene

Midscene.js GUI Agent for E2E Testing AI-powered vision. Cross-platform. Batteries included. English | 简体中文 Official Website: https://midscenejs.com/ <img src="https:/

Compatible Skills

These tools work well together with midscene for enhanced workflows:

  • UI-TARS-desktop — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • TuriX-CUA — semantic(0.49)+complementary+rare_topics+similar_pop+shared_platform (66%)
  • agent-device — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)

midscene alternative? Top 6 similar tools

Looking for a midscene alternative? If you're comparing midscene with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • nanoMuse by nano-muse · ⭐ 3.3k

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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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