WebAI2API: 基于 Camoufox 的网页 AI 转 API 工具,支持 LMArena/Gemini等,多窗口并发与账号隔离

by foxhui · Agent Tool · ★ 1.4k

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

Security audit verdict: SAFE · quality 67/100

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.

ai-toolsbrowser-automationgenerative-aiimage-generationopenai-apitext-generationtext-to-imageweb-scraping

Quick Facts

Stars1,355
Forks353
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Open Issues41
Last Updated2026-07-10
Created2025-11-23
Platformsbrowser, gemini, node
Est. Tokens~14k

About WebAI2API

WebAI2API 简体中文 | English 📑 目录 快速部署 快速开始 使用方法 API 接口 设备配置参考 📝 项目简介 WebAI2API 是一个基于 Camoufox (Playwright) 的网页版 AI 服务转通用 API 的工具。通过模拟人类操作与 LMArena、Gemini 等网站交互, 提供兼容 OpenAI 格式 的接口服务, 同时支持 多窗口并发 与 多账号管理(浏览器实例数据隔离)。 ✨ 主要特性 🤖 拟人交互: 模拟人类打字与鼠标轨迹, 通过特征伪装规避自动化检测 🔄 接口兼容: 提供标准 OpenAI 格式接口, 支持流式响应与心跳保活 🚀 并发隔离: 支持多窗口并发执行, 可配置独立代理,实现多账号浏览器实例级数据隔离 🛡️ 稳定防护: 内置任务队列、负载均衡、故障转移、错误重试等基础功能 🎨 网页管理: 提供可视化管理界面,...

Compatible Skills

These tools work well together with WebAI2API for enhanced workflows:

  • skillboss-skills — semantic(0.17)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (59%)
  • crawl4ai-mcp-server — semantic(0.20)+complementary+shared_fw(openai)+rare_topics+similar_pop+shared_platform (54%)
  • browserable — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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