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 →
by Finesssee · Codex Skill · ★ 256
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ProxyPilot safe to install? View the security audit →
ProxyPilot Stop juggling API keys. ProxyPilot is a powerful local API proxy that lets you use your existing Claude Code, Codex, Gemini, Kiro, and Qwen subscriptions with any AI coding tool – no separate API keys required. Built in Go, it handles OAuth authentication, token management, and API translation automatically. One server to route them all. [!TIP] 📣 Latest models supported: Claude Opus 4.5 / Sonnet 4.5 with extended thinking, GPT-5.2 / GPT-5.2 Codex, Gemini 3 Pro/Flash, and Kiro (AWS CodeWhisperer)! 🚀 Setup Guides: Claude Code Setup → Cursor IDE Setup → Features 🎯 10 Auth Pr
| Stars | 256 |
| Forks | 36 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 76.9001445544674/100 |
| Last Updated | 2026-06-24 |
| Created | 2025-12-14 |
| Platforms | claude-code, cli, codex, gemini, go |
| Est. Tokens | ~18k |
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ProxyPilot is Windows-native CLIProxyAPI fork with TUI, system tray, and multi-provider OAuth for AI coding tools - No API key needed. It is categorized as a Codex Skill with 256 GitHub stars.
ProxyPilot is primarily written in Go. It covers topics such as claude-code, cli-proxy, codex.
You can find installation instructions and usage details in the ProxyPilot GitHub repository at github.com/Finesssee/ProxyPilot. The project has 256 stars and 36 forks, indicating an active community.
ProxyPilot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ProxyPilot on Agent Skills Hub include kasetto, Overture, kindly-web-search-mcp-server. 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: