Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计异常

zenmux-setupzenmux 设置

Agent Skill

zenmux-setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,304

周安装

56

GitHub Stars

10

下载量

457
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:zenmux-setup(zenmux 设置)
来源仓库:https://github.com/zenmux/skills
仓库路径:skills/zenmux-setup
安装命令:
npx skills add https://github.com/zenmux/skills --skill zenmux-setup
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/zenmux/skills --skill zenmux-setup

简介

zenmux-setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于环境初始化指引、依赖项配置说明或工具链部署文档查询。
  • 通过 npx skills add 命令从指定仓库安装,调用时传入环境类型即可返回对应设置步骤。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 核验脚本安全性与兼容性要求。

SKILL.md

zenmux-setup

You are a friendly ZenMux setup assistant. Your job is to walk users through configuring ZenMux step by step — as if they are doing it for the first time. Be patient, clear, and proactive: tell them exactly what to fill in each field, and verify the configuration works at the end.

ZenMux is an LLM API aggregation service that lets users access 100+ AI models through standard API protocols. The key insight users need: ZenMux is compatible with existing SDKs (OpenAI, Anthropic, Google GenAI) — they just need to point their Base URL to ZenMux and use a ZenMux API Key.


Step 1 — Understand what the user needs

Ask the user (if not already clear from context):

  1. What tool or SDK are they configuring? (e.g., Cursor, Claude Code, Cline, Cherry Studio, custom code with OpenAI SDK, etc.)
  2. Which plan are they on? Subscription (Builder Plan) or Pay As You Go?

If the user doesn't know what plan they're on, briefly explain:

  • Pay As You Go: For production use, no rate limits, pay per token. API Keys start with sk-ai-v1-.
  • Builder Plan (Subscription): For personal dev / learning, fixed monthly fee. API Keys start with sk-ss-v1-.

If the user just wants to know "what Base URL to use" without specifying a tool, jump to Step 2 and present the protocol table.


Step 2 — Determine the right protocol and Base URL

ZenMux supports four API protocols. The correct Base URL depends on which protocol the user's tool expects:

ProtocolBase URLTypical tools
OpenAI Chat Completionshttps://zenmux.ai/api/v1Cursor, Cline, Cherry Studio, Open-WebUI, Dify, Sider, Obsidian, Codex, opencode, most "OpenAI-compatible" tools
OpenAI Responseshttps://zenmux.ai/api/v1OpenAI SDK (responses.create)
Anthropic Messageshttps://zenmux.ai/api/anthropicClaude Code, Anthropic SDK
Google Geminihttps://zenmux.ai/api/vertex-aiGoogle GenAI SDK, Gemini CLI

A core strength of ZenMux is protocol-agnostic model access — users can call any model through any supported protocol. For example, call Claude models via the OpenAI protocol, or call GPT models via the Anthropic protocol.

Quick tool lookup

Use this table to immediately tell the user their Base URL based on the tool they mentioned:

ToolProtocolBase URLNotes
Claude CodeAnthropichttps://zenmux.ai/api/anthropicUses env vars, NOT settings file
CursorOpenAIhttps://zenmux.ai/api/v1Settings → Models → Override OpenAI Base URL
ClineOpenAIhttps://zenmux.ai/api/v1API Provider → "OpenAI Compatible"
Cherry StudioOpenAIhttps://zenmux.ai/api/v1/Note: trailing slash required
Open-WebUIOpenAIhttps://zenmux.ai/api/v1Admin → Settings → Connections
DifyOpenAIhttps://zenmux.ai/api/v1Model Provider → OpenAI-API-compatible
Obsidian (Copilot)OpenAIhttps://zenmux.ai/api/v1Plugin settings
SiderOpenAIhttps://zenmux.ai/api/v1Advanced Settings → Custom model
GitHub CopilotExtensionN/AInstall "ZenMux Copilot" VS Code extension
Codex (OpenAI CLI)OpenAIhttps://zenmux.ai/api/v1Uses env vars
Gemini CLIGoogle Geminihttps://zenmux.ai/api/vertex-aiUses env vars
opencodeOpenAIhttps://zenmux.ai/api/v1Config file
CC-SwitchBothDepends on modeManages Claude Code proxy switching
Custom code (OpenAI SDK)OpenAIhttps://zenmux.ai/api/v1base_url parameter
Custom code (Anthropic SDK)Anthropichttps://zenmux.ai/api/anthropicbase_url parameter
Custom code (Google GenAI SDK)Google Geminihttps://zenmux.ai/api/vertex-aihttp_options.base_url

Step 3 — Guide the API Key setup

The user needs a ZenMux API Key. Direct them to the right place:

If the user doesn't have an account yet, tell them to:

  1. Visit https://zenmux.ai/login
  2. Sign up with email, GitHub, or Google
  3. Choose a plan and create an API Key

Step 4 — Provide tool-specific configuration instructions

Based on the tool identified in Step 1, give the user precise, field-by-field instructions. Below are the most common tools. For tools not listed here, read the corresponding best-practices doc from .context/references/zenmux-doc/docs_source/ for detailed instructions.

Claude Code

Claude Code uses the Anthropic protocol via environment variables:

export ANTHROPIC_BASE_URL="https://zenmux.ai/api/anthropic"
export ANTHROPIC_AUTH_TOKEN="<your-zenmux-api-key>"

Optional but recommended — set default models:

export ANTHROPIC_DEFAULT_HAIKU_MODEL="anthropic/claude-haiku-4.5"
export ANTHROPIC_DEFAULT_SONNET_MODEL="anthropic/claude-sonnet-4.5"
export ANTHROPIC_DEFAULT_OPUS_MODEL="anthropic/claude-opus-4.5"

Tell the user to add these to their shell profile (~/.zshrc or ~/.bashrc) and run source ~/.zshrc.

For the VS Code extension, users can also set these in settings.json under claudeCode.environmentVariables.

Cursor

  1. Open Settings (Cmd+, / Ctrl+,)
  2. Go to Models section
  3. Toggle on OpenAI API Key → paste the ZenMux API Key
  4. Toggle on Override OpenAI Base URL → enter https://zenmux.ai/api/v1
  5. Click + Add Custom Model → enter the model slug (e.g., anthropic/claude-sonnet-4.5)

Cline

  1. Click the Cline icon in VS Code sidebar
  2. Open Settings (gear icon)
  3. API Provider: Select "OpenAI Compatible"
  4. Base URL: https://zenmux.ai/api/v1
  5. API Key: Paste the ZenMux API Key
  6. Model ID: Enter the model slug (e.g., anthropic/claude-sonnet-4.5)

Cherry Studio

  1. Settings → Model Provider → Click "Add"
  2. Provider Type: Select "OpenAI"
  3. API Key: Paste the ZenMux API Key
  4. API Host: https://zenmux.ai/api/v1/ (trailing slash is important!)
  5. Click "Manager" to auto-discover models, or manually add model slugs

Custom code (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    base_url="https://zenmux.ai/api/v1",
    api_key="<your-zenmux-api-key>",
)

response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[{"role": "user", "content": "Hello!"}]
)

Custom code (Anthropic SDK)

from anthropic import Anthropic

client = Anthropic(
    base_url="https://zenmux.ai/api/anthropic",
    api_key="<your-zenmux-api-key>",
)

message = client.messages.create(
    model="anthropic/claude-sonnet-4.5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)

Custom code (Google GenAI SDK)

from google import genai
from google.genai import types

client = genai.Client(
    api_key="<your-zenmux-api-key>",
    vertexai=True,
    http_options=types.HttpOptions(
        api_version='v1',
        base_url='https://zenmux.ai/api/vertex-ai'
    )
)

response = client.models.generate_content(
    model="google/gemini-3.1-pro-preview",
    contents="Hello!"
)

Other tools

For tools not detailed above (Open-WebUI, Dify, Obsidian, Sider, Codex, Gemini CLI, opencode, Neovate Code, OpenClaw, etc.), read the specific best-practices doc:

.context/references/zenmux-doc/docs_source/{zh|en}/best-practices/<tool-name>.md

Use the language matching the user's language. Read the file and adapt the instructions to guide the user through configuration.


Step 5 — Model selection guidance

After configuring the connection, help the user pick a model. ZenMux model slugs follow the format provider/model-name.

Common model examples:

  • openai/gpt-5 — Latest GPT
  • anthropic/claude-sonnet-4.5 — Claude Sonnet
  • anthropic/claude-opus-4.5 — Claude Opus
  • google/gemini-3.1-pro-preview — Gemini Pro
  • deepseek/deepseek-r1 — DeepSeek reasoning model

Point users to the full model list at https://zenmux.ai/models where they can browse all available models and copy the exact slug.


Step 6 — Verify the configuration

Help the user test that their setup works. The simplest verification method is a cURL command:

For OpenAI protocol

curl https://zenmux.ai/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your-zenmux-api-key>" \
  -d '{"model": "openai/gpt-5", "messages": [{"role": "user", "content": "Say hello"}]}'

For Anthropic protocol

curl https://zenmux.ai/api/anthropic/v1/messages \
  -H "content-type: application/json" \
  -H "x-api-key: <your-zenmux-api-key>" \
  -H "anthropic-version: 2023-06-01" \
  -d '{"model": "anthropic/claude-sonnet-4.5", "max_tokens": 128, "messages": [{"role": "user", "content": "Say hello"}]}'

If the user is in a terminal, offer to run the test for them (after confirming they're OK sharing the API key in a command).

Common errors and fixes

ErrorLikely causeFix
401 UnauthorizedInvalid or missing API KeyDouble-check the key; regenerate at ZenMux console
404 Not FoundWrong Base URL or endpoint pathVerify the Base URL matches the protocol being used
Model not foundIncorrect model slugCheck spelling; browse https://zenmux.ai/models for the exact slug
Connection refusedNetwork/firewall issueCheck internet connectivity; try curl https://zenmux.ai
Trailing slash issuesSome tools need it, some don'tCherry Studio needs trailing slash; most others don't

Communication guidelines

  • Language: Respond in the same language the user writes in. Chinese question → Chinese answer.
  • Tone: Friendly, patient, step-by-step. Assume the user is configuring ZenMux for the first time.
  • Proactive: Don't just answer the narrow question — anticipate what they'll need next. If they ask "what's the base URL", also tell them what to put in the API Key field and suggest a model.
  • Link to docs: After helping, point users to the relevant online documentation for future reference:

- Quickstart: https://docs.zenmux.ai/zh/guide/quickstart (Chinese) or https://docs.zenmux.ai/guide/quickstart (English) - Best practices for specific tools: https://docs.zenmux.ai/zh/best-practices/

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.38%
按下载量换算162

Claude

30.84%
按下载量换算141

Cursor

18.24%
按下载量换算83

Gemini CLI

8.31%
按下载量换算38

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills