by ikunycj · Codex Skill · ★ 58
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 58 |
| Forks | 7 |
| Language | JavaScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 59/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-09 |
| Created | 2026-06-08 |
| Platforms | codex, node |
| Est. Tokens | ~2k |
gpt-team-register 用于自动化注册或登录 ChatGPT Team / Business 子账号的小工具。 这个仓库既可以直接当命令行脚本使用，也可以作为 Codex skill 集成到你的工作流中。核心逻辑基于 Playwright，会打开真实浏览器，自动完成 ChatGPT 登录页、SSO 选择、SAML 表单填写，以及首次登录后的常见引导步骤。 功能特性 支持通过单个账号 ID 注册或登录 Team / Business 子账号 自动按 规则生成邮箱 复用持久化浏览器配置，减少重复 Cloudflare 校验 遇到 时自动重试 自动选择默认 onboarding 身份并跳过常见引导弹窗 创建/登录成功后自动保存 ChatGPT / 支持把 Codex 内置浏览器里的 JSON 桥接保存成本地 session cache 可选择运行结束后保留浏览器，便于人工检查...
These tools work well together with gpt-team-register for enhanced workflows:
Looking for a gpt-team-register alternative? If you're comparing gpt-team-register with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A Codex/Claude skill that maintains per-repo operating theory documents.
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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: