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Agent Skill · 研究检索

integrate-anything(整合任何东西)

integrate-anything 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。

integrate-anything 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 40,546。

总安装 1,273周安装 51GitHub Stars 4下载 412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:integrate-anything(整合任何东西)
来源仓库:https://github.com/membranehq/agent-skills
仓库路径:skills/integrate-anything
安装命令:
npx skills add https://github.com/membranehq/agent-skills --skill integrate-anything
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/membranehq/agent-skills --skill integrate-anything

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。

integrate-anything 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来源线索中筛选信息的场景。通过关键词、任务场景或来源线索进行信息检索和筛选。安装前需确认权限范围、维护状态及是否触发联网或文件读写操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/integrate-anything

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/membranehq/agent-skills --skill integrate-anyt…;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

integrate-anything 怎么安装?

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

integrate-anything 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。

integrate-anything 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。

integrate-anything 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。

integrate-anything 用的人多吗?

公开数据是累计安装 1,273 次,近一周安装 51 次,下载 412 次,GitHub 4 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。

integrate-anything 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
integrate-anything

整合任何东西 · 本页

1,2734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

Self-Integration

Connect to any external app and perform actions on it. Uses the Membrane CLI.

Authentication

Authenticate with the Membrane CLI:

npx @membranehq/cli login --tenant

Alternatively, you can install the membrane CLI globally (npm i -g @membranehq/cli@latest) and use membrane login --tenant instead.

Always use --tenant to get a tenant-scoped token — this authenticates on behalf of a specific tenant (workspace + customer) in Membrane, so you don't need to pass --workspaceKey and --tenantKey on every subsequent command.

This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available. The user authenticates in Membrane, then selects a workspace and tenant (user inside workspace).

When login process is completed, the credentials are stored locally in ~/.membrane/credentials.json and used in subsequent commands automatically.

Non-interactive Authentication

If interactive browser login is not possible (e.g. remote/headless environment) the membrane login command will print an authorization URL to the terminal. The user can then open the URL in their browser and complete the login process.

If this is the case, ask the user to enter the code they see in the browser after completing the login process.

When user enters the code, complete the login process with:

npx @membranehq/cli login complete <code>

All commands below use npx @membranehq/cli (or just membrane if installed globally). Add --json to any command for machine-readable JSON output to stdout. Command without --json flag will print the result in a human-readable (and often shorter) format.

Workflow

Step 1: Get a Connection

A connection is an authenticated link to an external app (e.g. a user's Slack workspace, a HubSpot account). You need one before you can run actions.

1a. Find or create a connection

Use connection ensure to find or create a connection by app URL or domain:

npx @membranehq/cli connection ensure "https://slack.com" --json

You can also use a bare domain:

npx @membranehq/cli connection ensure "slack.com" --json

This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.

If the returned connection has state: "READY", skip to Step 2.

1b. Wait for the connection to be ready

If the connection is in BUILDING state, poll until it's ready:

npx @membranehq/cli connection get <id> --wait --json

The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.

The resulting state tells you what to do next:

  • READY — connection is fully set up. Skip to Step 2.
  • CLIENT_ACTION_REQUIRED — the user or agent needs to do something. The clientAction object describes the required action: After the user completes the action (e.g. authenticates in the browser), poll again with connection get <id> --json to check if the state moved to READY.

- clientAction.type — the kind of action needed: - "connect" — user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections. - "provide-input" — more information is needed (e.g. which app to connect to). - clientAction.description — human-readable explanation of what's needed. - clientAction.uiUrl (optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present. - clientAction.agentInstructions (optional) — instructions for the AI agent on how to proceed programmatically.

  • CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.
Alternative: Create a connection with more control

If you need more control over the connection creation, you can use connection create instead:

npx @membranehq/cli connection create "Connect to Slack" --json

This creates a new connection with an intent and starts building in the background. Then follow step 1b to wait for it.

Step 2: Get an Action

An action is an operation you can perform on a connected app (e.g. "Create task", "Send message", "List contacts").

2a. Search for actions

Search using a natural language description of what you want to do:

npx @membranehq/cli action list --connectionId abc123 --intent "send a message" --limit 10 --json

You should always search for actions in the context of a specific connection.

Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).

If no suitable action exists, go to step 2b.

2b. Create an action (if none exists)

Describe what you want the action to do — Membrane will build it automatically using an agent:

npx @membranehq/cli action create "send a message in a channel" --connectionId abc123 --json

This returns an action object. The action starts in BUILDING state while Membrane builds it in the background.

2c. Wait for the action to be ready

Poll until the action leaves the BUILDING state:

npx @membranehq/cli action get <id> --wait --json

The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.

The resulting state tells you what to do next:

  • READY — action is fully built. Proceed to Step 3.
  • CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.

After the action is built, you can also search for it again (step 2a) to confirm.

Step 3: Run an Action

Execute the action using the action ID from step 2 and the connection ID from step 1:

npx @membranehq/cli action run <actionId> --connectionId abc123 --input '{"channel": "#general", "text": "Hello!"}' --json

Provide --input matching the action's inputSchema.

The result is in the output field of the response.

CLI Reference

All commands support --json for structured JSON output to stdout. Add --workspaceKey <key> and --tenantKey <key> to override project defaults.

connection

npx @membranehq/cli connection ensure <appUrl> [--name <name>] [--json]         # Find or create connection by URL/domain (recommended)
npx @membranehq/cli connection list [--json]                                    # List all connections
npx @membranehq/cli connection get <id> [--wait] [--timeout <n>] [--json]       # Get connection (--wait to long-poll)
npx @membranehq/cli connection create <intent> [--name <name>] [--json]         # Create connection with intent

action

npx @membranehq/cli action list [--connectionId <id>] [--intent <text>] [--limit <n>] [--json]                  # List/search actions
npx @membranehq/cli action create <intent> --connectionId <id> [--name <name>] [--json]                          # Create action with intent
npx @membranehq/cli action get <id> [--wait] [--timeout <n>] [--json]                                            # Get action (--wait to long-poll)
npx @membranehq/cli action run <actionId> --connectionId <id> [--input <json>] [--json]                          # Run an action

search

npx @membranehq/cli search <query> [--elementType <type>] [--limit <n>] [--json]   # Search connectors, integrations, etc.

Fallback: Raw API

If the CLI is not available, you can make direct API requests.

Base URL: https://api.getmembrane.com Auth header: Authorization: Bearer $MEMBRANE_TOKEN

Get the API token from the Membrane dashboard.

CLI CommandAPI Equivalent
connection ensure "<url>" --jsonPOST /connections/ensure with {"appUrl": "<url>"}
connection list --jsonGET /connections
connection get <id> --wait --jsonGET /connections/:id?wait=true
connection create "<text>" --jsonPOST /connections with {"intent": "<text>"}
search <q> --jsonGET /search?q=<q>
action list --connectionId <id> --intent <text> --jsonGET /actions?connectionId=<id>&intent=<text>
action create "<text>" --connectionId <cid> --jsonPOST /actions with {"intent": "<text>", "connectionId": "<cid>"}
action get <id> --wait --jsonGET /actions/:id?wait=true
action run <id> --connectionId <cid> --input <json> --jsonPOST /actions/:id/run?connectionId=<cid> with {"input": <json>}

External Endpoints

All requests go to the Membrane API. No other external services are contacted directly by this skill.

EndpointData Sent
https://api.getmembrane.com/*Auth credentials, connection parameters, action inputs, agent prompts

Security & Privacy

  • All data is sent to the Membrane API over HTTPS.
  • CLI credentials are stored locally in ~/.membrane/ with restricted file permissions.
  • Connection authentication (OAuth, API keys) is handled by Membrane — credentials for external apps are stored by the Membrane service, not locally.
  • Action inputs and outputs pass through the Membrane API to the connected external app.

By using this skill, data is sent to Membrane. Only install if you trust Membrane with access to your connected apps.

平台分布

Codex

39.41%
按下载量换算162

Claude

28.59%
按下载量换算118

Cursor

17.7%
按下载量换算73

Gemini CLI

9.37%
按下载量换算39

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

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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