Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Wei-Shaw · Codex Skill · ★ 42.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sub2api safe to install? View the security audit →
Sub2API AI API Gateway Platform for Subscription Quota Distribution English | 中文 Demo Try Sub2API online: https://demo.sub2api.org/ Demo credentials (shared demo environment; not created automatically for self-hosted installs): Overview Sub2API is an AI API gateway platform designed to distribute and manage API quotas from AI product subscriptions (like Claude Code $200/month). Users can access upstream AI services through platform-generated API Keys, while the platform handles authentication, billing, load balancing, and request forwarding. Features Multi-Account Management - Support multiple upstream account types (OAuth, API Key) API Key Distribution - Generate and manage API Keys for users Precise Billing - Token-level usage tracking and cost calculation Smart Scheduling - Intelligent account selection with sticky sessions Concurrency Control - Per-user and per-a
| Stars | 42,433 |
| Forks | 9,057 |
| Language | Go |
| Category | Codex Skill |
| License | LGPL-3.0 |
| Quality Score | 65.0265895533764/100 |
| Open Issues | 3362 |
| Last Updated | 2026-09-23 |
| Created | 2025-12-18 |
| Platforms | claude-code, codex, gemini, go |
| Est. Tokens | ~19k |
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sub2api is Sub2API 一站式开源中转服务，让 Claude、Openai 、Gemini、Grok订阅统一接入，支持拼车共享，更高效分摊成本，原生工具无缝使用。. It is categorized as a Codex Skill with 42.4k GitHub stars.
sub2api is primarily written in Go. It covers topics such as 2api, antigravity2api, cc2api.
You can find installation instructions and usage details in the sub2api GitHub repository at github.com/Wei-Shaw/sub2api. The project has 42.4k stars and 9057 forks, indicating an active community.
sub2api is released under the LGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to sub2api on Agent Skills Hub include ai-guide, awesome-claude-skills, serena. 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: