ds2api: Deepseek客户端对话转API全栈开源工具，高性能，多账号轮询，支持纯vercel、docker部署使用。Google、Claude

by CJackHwang · Codex Skill · ★ 4.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install ds2api

git clone https://github.com/CJackHwang/ds2api.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

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.

deepseekfreeapigogolangopenclawproxyproxy-serverreactvercel-deploymentzeabur

Quick Facts

Stars4,749
Forks1,640
LanguageGo
CategoryCodex Skill
LicenseGPL-3.0
Quality Score63/100
Open Issues30
Last Updated2026-05-10
Created2026-01-21
Platformsclaude-code, docker, go
Est. Tokens~315k

About ds2api

DS2API 语言 / Language: 中文 | English 将 DeepSeek Web 对话能力转换为 OpenAI、Claude 与 Gemini 兼容 API。后端为 Go 全量实现，前端为 React WebUI 管理台（源码在 ，部署时自动构建到 ）。 重要免责声明 本仓库仅供学习、研究、个人实验和内部验证使用，不提供任何形式的商业授权、适用性保证或结果保证。 作者及仓库维护者不对因使用、修改、分发、部署或依赖本项目而产生的任何直接或间接损失、账号封禁、数据丢失、法律风险或第三方索赔负责。 请勿将本项目用于违反服务条款、协议、法律法规或平台规则的场景。商业使用前请自行确认 、相关协议以及你是否获得了作者的书面许可。 架构概览 mermaid flowchart LR Client["🖥️ 客户端\n(OpenAI / Claude / Gemini 兼容)"]...

Compatible Skills

These tools work well together with ds2api for enhanced workflows:

  • mcpproxy-go — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • mcp-proxy — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • pipelock — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • mcp-auth-proxy — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • clawshield-public — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools