by guanxiaol · Claude Skill · ★ 142
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🔒 Is WindsurfPoolAPI safe to install? View the security audit →
WindsurfPoolAPI Enterprise-grade multi-account pool proxy for Windsurf AI platform. Expose 113+ models (Claude / GPT / Gemini / DeepSeek / Grok / Qwen / Kimi / GLM) via standard OpenAI & Anthropic APIs. 企业级 Windsurf 多账号池化 API 代理 —— 113+ 模型，OpenAI / Anthropic 双协议兼容，Cursor / Claude Code 原生支持 Quick Start · Features · Dashboard · API Reference · Deployment · FAQ ⚠️ Disclaimer / 声明 This project is for personal learning, research, and self-hosting only. Commercial use, resale, paid deployment, or repackaging as a service without written authorization is strictly prohibited.
| Stars | 142 |
| Forks | 29 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.3773097979073/100 |
| Last Updated | 2026-04-26 |
| Created | 2026-04-20 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~86k |
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WindsurfPoolAPI is Multi-account pool proxy for Windsurf — 113+ models (Claude/GPT/Gemini/Grok/Kimi) via OpenAI & Anthropic APIs, image upload, Cursor & Claude Code native / 企业级 Windsurf 多账号池化 API 代理. It is categorized as a Claude Skill with 142 GitHub stars.
WindsurfPoolAPI is primarily written in JavaScript. It covers topics such as ai-proxy, anthropic, anthropic-api.
You can find installation instructions and usage details in the WindsurfPoolAPI GitHub repository at github.com/guanxiaol/WindsurfPoolAPI. The project has 142 stars and 29 forks, indicating an active community.
WindsurfPoolAPI is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to WindsurfPoolAPI on Agent Skills Hub include ccproxy, teamclaude, Adnify. 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: