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 heyuqiu2023 · Codex Skill · ★ 327
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CodexPool safe to install? View the security audit →
🦞 小龙虾 — Codex 账号池管理器 多账号 Codex 管理仪表板，支持 GPT / Gemini / Claude 等多平台账号，实时监控用量、自动轮换，一键登录新账号。 Originally designed for OpenAI Codex, but works with any platform using ChatGPT OAuth tokens. ✨ Features 平台分类 — 支持 GPT、Gemini、Claude 等多平台账号，可自定义添加新平台 一键登录 — 在界面内直接完成 OAuth 授权，auth 文件自动保存 批量用量检测 — 一键检测所有账号的 5h 窗口用量，结果实时展示在各账号卡片 自动轮换 — 用量超过阈值时自动切换到下一个可用账号 亮暗主题 — 支持深色 / 浅色模式随时切换 紧凑列表视图 — 网格视图和紧凑列表视图自由切换 实时日志 — 完整记录轮换事件、Token 刷新、用量
| Stars | 327 |
| Forks | 69 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.498225440336/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-17 |
| Created | 2026-03-20 |
| Platforms | codex, node |
| Est. Tokens | ~69k |
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CodexPool is 有啥问题抖音私我，我后面攒起来更新. It is categorized as a Codex Skill with 327 GitHub stars.
CodexPool is primarily written in TypeScript. It covers topics such as account-management, chatgpt, codex.
You can find installation instructions and usage details in the CodexPool GitHub repository at github.com/heyuqiu2023/CodexPool. The project has 327 stars and 69 forks, indicating an active community.
CodexPool is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CodexPool on Agent Skills Hub include codexia, paperdebugger, sre. 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: