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 panxunying · Codex Skill · ★ 640
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-coding-welfare safe to install? View the security audit →
AI Coding 福利站导航 免费额度 · 白嫖 Claude Code / Codex / Cursor 的中转与公益站合集 AgentRouter 注册 · JustDoWork 注册 · RawChat 公益站 注册 · Matrix 注册 · TaBiAI 注册 · GoRouter 注册 🚀 一分钟上车 Anthr
| Stars | 640 |
| Forks | 46 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.6214568532374/100 |
| Last Updated | 2026-09-12 |
| Created | 2026-08-21 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~18k |
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ai-coding-welfare is AI Coding 福利站导航：免费白嫖 Claude Code / Codex 的中转站与公益站合集，含额度、模型、价格自动更新与一键配置脚本. It is categorized as a Codex Skill with 640 GitHub stars.
ai-coding-welfare is primarily written in JavaScript. It covers topics such as ai-coding, anthropic, api-proxy.
You can find installation instructions and usage details in the ai-coding-welfare GitHub repository at github.com/panxunying/ai-coding-welfare. The project has 640 stars and 46 forks, indicating an active community.
ai-coding-welfare is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-coding-welfare on Agent Skills Hub include holysheep-cli, pilot-shell, dario. 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: