by yuan240324 · Codex Skill · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/yuan240324/workbuddy-openai-proxy.git
Taken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 50 |
| Forks | 21 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-27 |
| Created | 2026-09-11 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~19k |
workbuddy-openai-proxy English · 中文 把 WorkBuddy / CodeBuddy 账号额度(国内版 + 国际版) 包装成本机上的 OpenAI 兼容 + Anthropic 兼容 接口,供 TraeWork / TRAE / TraeCode CLI / Cherry Studio / Cursor 等 任意 OpenAI 兼容客户端当作「自定义模型」接入。 搜 / / 找过来的?那些多数是自托管网关; 这个是本机版 —— 零依赖、 直接跑,不需要 Docker / Redis / pip。 具体差异见下方「和同类项目的区别」。 跨平台说明见下方「三平台差异」。核心逻辑只用 Node 内置模块、无原生依赖。 测试套件由 CI 在 Linux()× Node 18/20/22/24 上跑,全绿; 但连真实上游账号的端到端实跑只在 Windows +...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: