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Agent Skill · 研究检索

setup(设置)

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。

setup 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 63,725。

总安装 312周安装 13GitHub Stars 537下载 104核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:setup(设置)
来源仓库:https://github.com/jau123/meigen-art
仓库路径:skills/setup
安装命令:
npx skills add https://github.com/jau123/meigen-art --skill 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/jau123/meigen-art --skill setup

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

setup 用于查找、检索和筛选相关信息,适合快速定位候选结果。适用于需要根据关键词或任务场景从多个来源中筛选信息的场景。通过 npx skills add 命令安装,需结合原始 README 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或文件读写操作。

setup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/setup

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jau123/meigen-art --skill setup;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

setup 怎么安装?

在终端执行 npx skills add https://github.com/jau123/meigen-art --skill setup。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

setup 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

setup 需要什么权限?

权限级别是接触敏感数据。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。

setup 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

setup 用的人多吗?

公开数据是累计安装 312 次,近一周安装 13 次,下载 104 次,GitHub 537 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

setup 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
setup

设置 · 本页

312537接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MeiGen Plugin Setup

You are guiding the user through configuring the MeiGen plugin for image generation. Follow this flow step by step.

Step 1: Welcome

First, check if a config file already exists:

cat ~/.config/meigen/config.json 2>/dev/null

Also check for existing ComfyUI workflows:

ls ~/.config/meigen/workflows/*.json 2>/dev/null

If config exists, show the current configuration (mask API keys: show first 10 chars + "...") and any saved workflows. Ask if they want to reconfigure.

If no config exists, present this introduction:

MeiGen Plugin Configuration This is optional. Without configuration, you can still use free features: - Search gallery for inspiration and prompts - Enhance simple ideas into professional prompts - Browse available AI models Configuring a provider unlocks image generation.

Then proceed to Step 2.

Step 2: Choose Provider

Present these options to the user:

Option A: MeiGen Platform (Recommended)

  • Supports Nanobanana 2, Seedream 5.0, GPT image 1.5 and more
  • Reference image support for style transfer
  • No additional accounts needed — just get a token from meigen.ai

Option B: ComfyUI (Local)

  • Use your local ComfyUI installation for image generation
  • Full control over models, samplers, and workflow settings
  • No cloud API needed — runs entirely on your machine
  • Import your own workflow from ComfyUI

Option C: Custom OpenAI-Compatible API

  • Use your own OpenAI, Together AI, Fireworks AI, or any OpenAI-compatible service
  • Bring your own API key and billing
  • Supports any model that uses the OpenAI /v1/images/generations endpoint

Option D: Import from curl Example

  • Already have a working curl command from your API provider's docs? Paste it directly!
  • We'll automatically extract the API key, base URL, and model name

Option E: Skip image generation for now

  • Free features still available (inspiration search, prompt enhancement, model listing)
  • You can run /meigen:setup anytime later to enable image generation

If user chooses Skip, say goodbye and exit. Otherwise continue to the appropriate Step 3.

Step 3A: MeiGen Platform Setup

Ask the user:

Do you already have a MeiGen API token, or do you need to create one?

If they need to create one:

Provide these instructions:

  1. Go to https://www.meigen.ai
  2. Sign in or create an account
  3. Navigate to Settings (click your avatar) → API Keys
  4. Click Create API Key, give it a name
  5. Copy the token (starts with meigen_sk_)

Then ask them to paste the token.

If they already have one:

Ask them to paste their meigen_sk_... token.

Validate the token:

  • Must start with meigen_sk_
  • Must be at least 30 characters long

If valid, proceed to Step 4 with this config:

{
  "meigenApiToken": "<the token>"
}

Step 3B: ComfyUI (Local) Setup

3B-1: Check Connection

Ask the user for their ComfyUI server URL:

What is your ComfyUI server URL? (default: http://localhost:8188)

Test the connection:

curl -s <URL>/system_stats | head -c 200
  • Success: Show confirmation and continue to 3B-2
  • Failure: Tell the user: Cannot connect to ComfyUI at <URL>. Please make sure: ComfyUI is running (start it with python main.py or your launcher) The URL and port are correct No firewall is blocking the connection

3B-2: Import Workflow

Explain the workflow export process to the user:

To use ComfyUI with this plugin, you need to export a workflow in API format: 1. Open ComfyUI in your browser (usually http://localhost:8188) 2. Load or create your preferred workflow 3. Click ⚙️ Settings → enable "Enable Dev mode options" 4. Click the "Save (API Format)" button that appears 5. Save the downloaded .json file somewhere convenient

Then ask them to provide the file path:

Please provide the path to your exported workflow JSON file: Example: ~/Downloads/workflow_api.json

Use the comfyui_workflow tool with action import to import the workflow:

  • Ask for a short name for the workflow (e.g., "txt2img", "anime", "realistic")
  • Call: comfyui_workflow import with filePath and name
  • Show the detected nodes and parameters to the user for confirmation

If the import succeeds, ask if they want to import additional workflows. If yes, repeat this step.

3B-3: Save Configuration

Build the config JSON:

{
  "comfyuiUrl": "<the URL, omit if http://localhost:8188>",
  "comfyuiDefaultWorkflow": "<the first imported workflow name>"
}

Proceed to Step 4 to save. The workflow files are already saved by the import step.

Step 3C: Custom OpenAI-Compatible API Setup

Collect the following information. Present common presets first for convenience:

Quick Presets

ServiceBase URLDefault Model
OpenAIhttps://api.openai.com (default)gpt-image-1.5
Together AIhttps://api.together.xyz/v1(check their docs)
Fireworks AIhttps://api.fireworks.ai/inference/v1(check their docs)

Ask the user to either pick a preset or provide custom values.

Required Fields

  1. API Key (required): Their API key for the service

- Example: sk-... for OpenAI

  1. Base URL (optional): API endpoint URL

- Default: https://api.openai.com - Only needed if using a non-OpenAI service

  1. Model Name (optional): Which model to use

- Default: gpt-image-1.5 - Different services use different model names

Optional: Test the connection

After collecting the info, suggest testing with curl:

curl -s <BASE_URL>/v1/models \
  -H "Authorization: Bearer <API_KEY>" | head -c 500

This helps catch invalid keys or wrong URLs before saving.

Proceed to Step 4 with config from the collected fields (see bottom of this section for format).

Only include fields that differ from defaults. Omit openaiBaseUrl if it's https://api.openai.com, omit openaiModel if it's gpt-image-1.5.

Step 3D: Import from curl Example

Ask the user to paste their curl command. Common formats they might paste:

Format 1: Image generation endpoint

curl https://api.openai.com/v1/images/generations \
  -H "Authorization: Bearer sk-xxx" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-image-1.5", "prompt": "a cat", "n": 1, "size": "1024x1024"}'

Format 2: Simple model list test

curl https://api.together.xyz/v1/models \
  -H "Authorization: Bearer xxx"

Format 3: With -u flag or other auth styles

curl -u :sk-xxx https://api.fireworks.ai/inference/v1/images/generations \
  -d '{"model": "accounts/fireworks/models/flux", "prompt": "a cat"}'

Parse the curl command and extract:

  1. Base URL: The URL hostname + base path (strip /v1/images/generations, /v1/models, etc.)

- https://api.openai.com/v1/images/generations → https://api.openai.com - https://api.together.xyz/v1/models → https://api.together.xyz/v1 - If URL ends with /v1/..., keep the /v1 part only if it's NOT api.openai.com

  1. API Key: From Authorization: Bearer <key> header, or -u:<key> flag, or --header variants
  2. Model: From the JSON request body "model": "<value>" if present

Show parsed results for confirmation:

I extracted the following from your curl command: - API Key: sk-xxx... (first 10 chars) - Base URL: https://api.together.xyz/v1 - Model: black-forest-labs/FLUX.1-schnell Does this look correct?

If user confirms, proceed to Step 4. If not, let them correct individual fields.

Step 4: Save Configuration

Build the config JSON based on the chosen provider:

For MeiGen:

{
  "meigenApiToken": "<the token>"
}

For ComfyUI:

{
  "comfyuiUrl": "<url, omit if default>",
  "comfyuiDefaultWorkflow": "<workflow name>"
}

For OpenAI-compatible (manual or curl import):

{
  "openaiApiKey": "<the key>",
  "openaiBaseUrl": "<base url, omit if default>",
  "openaiModel": "<model, omit if default>"
}

Create the config directory and write the file:

mkdir -p ~/.config/meigen

Then use the Write tool to write the JSON config to ~/.config/meigen/config.json.

Important: If the user already has a config file with other providers configured, merge the new config into the existing one rather than overwriting. For example, a user might have both MeiGen and ComfyUI configured.

After writing, set permissions:

chmod 600 ~/.config/meigen/config.json

Step 5: Completion

Tell the user:

Configuration saved! To activate the new settings, please start a new Claude Code session (close and reopen, or open a new terminal tab). After restarting, you can: - Use generate_image to create AI images - Run list_models to see available models and workflows - Try: "Generate a beautiful sunset over mountains" You can run /meigen:setup again anytime to change your configuration.

For ComfyUI users, additionally mention:

ComfyUI tips: - Use comfyui_workflow list to see your saved workflows - Use comfyui_workflow view to see adjustable parameters (steps, CFG, sampler, etc.) - Ask me to change any workflow parameter — e.g., "increase steps to 30" or "switch sampler to dpmpp_2m" - You can import more workflows anytime with comfyui_workflow import

平台分布

Codex

34.71%
按下载量换算36

Claude

30.41%
按下载量换算32

Cursor

20.56%
按下载量换算21

Gemini CLI

10.06%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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