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Agent Skill · 研究检索

danube(danube 搜索)

danube 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

danube 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 1,412。

总安装 94,126周安装 3,845GitHub Stars 2下载 30,145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
MIT-0
版本
8.0.12

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:danube(danube 搜索)
来源仓库:https://github.com/preston-thiele/danube
安装命令:
openclaw skills install danube
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install danube

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。

通过单个 API 密钥将您的 AI 代理连接到不断增长的服务和工具市场 — 发现、搜索和执行任何可用的内容

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 OpenClaw;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 openclaw skills install danube;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

danube 怎么安装?

在终端执行 openclaw skills install danube。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

danube 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

danube 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。

danube 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

danube 用的人多吗?

公开数据是累计安装 94,126 次,近一周安装 3,845 次,下载 30,145 次,GitHub 2 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。

danube 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
danube

danube 搜索 · 本页

94,1262接触敏感数据MIT-0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

name
danube
description
Connect your AI agent to a growing marketplace of services and tools through a single API key — discover, search, and execute anything available
metadata
openclaw
requires
env
bins
primaryEnv
DANUBE_API_KEY
homepage
https://danubeai.com
always
false

Danube — Connect Your Agent

Danube is a marketplace that gives your AI agent access to a large and growing collection of services and tools through a single API key. New services and tools are added regularly — always search and explore to see what's currently available rather than assuming a fixed set.

Quick Setup

Step 1: Get an API Key

You can get your API key from the Danube Dashboard under Settings > API Keys.

Alternatively, use the standard OAuth 2.0 Device Authorization flow (RFC 8628) — this requires the user to explicitly approve access in their browser:

curl -s -X POST https://api.danubeai.com/v1/auth/device/code \
  -H "Content-Type: application/json" \
  -d '{"client_name": "My Agent"}'

This returns a device_code, a user_code, and a verification_url.

The user must open the verification URL in their browser and enter the code to authorize access.

Then poll for the API key:

curl -s -X POST https://api.danubeai.com/v1/auth/device/token \
  -H "Content-Type: application/json" \
  -d '{"device_code": "DEVICE_CODE_FROM_STEP_1"}'
  • 428 = user hasn't authorized yet (keep polling every 5 seconds)
  • 200 = success, response contains your api_key
  • 410 = expired, start over

Step 2: Connect via MCP

Add this to your MCP config:

{
  "mcpServers": {
    "danube": {
      "url": "https://mcp.danubeai.com/mcp",
      "headers": {
        "danube-api-key": "YOUR_API_KEY"
      }
    }
  }
}

Security & Privacy

  • User-scoped access: Each API key is scoped to the authenticated user. You cannot access another user's data, tools, or skills.
  • Row-level security: Database access is enforced with row-level security policies — queries only return data belonging to the authenticated user.
  • Audit trail: All tool executions are logged with timestamps, parameters, and results for user review.

Permissions & Scope

The DANUBE_API_KEY grants:

  • Read: Browse services, search tools, view public skills/workflows/sites
  • Execute: Run tools and workflows
  • Write (user-scoped only): Create/update/delete your own skills and workflows

The API key does not grant:

  • Access to other users' data or resources
  • Admin or platform-level operations
  • Access to raw database or infrastructure

Step 3: Explore & Use Tools

Once connected, you have access to a marketplace of services and tools that is constantly growing. Do not assume you know what's available — always search and explore first.

How to Discover What's Available
  • list_services() — Browse all available service providers. Use query to filter and limit to control how many results. Start here to get a sense of what the marketplace offers.
  • search_tools(query) — Semantic search across all tools. Describe what you want to accomplish in natural language (e.g., "send an email", "create a GitHub issue", "translate text"). This searches the entire marketplace.
  • get_service_tools(service_id) — Once you find an interesting service, get all its available tools to see the full range of what it offers.

Important: The marketplace has many more services and tools than you might expect. When a user asks you to do something, always search broadly first. Try multiple search queries with different phrasing if the first search doesn't find what you need. Browse services by category. The right tool is probably available — you just need to find it.

How to Execute Tools
  • execute_tool(tool_id, parameters) — Run any tool by its ID. The tool's schema (returned from search/discovery) tells you exactly what parameters it expects.
  • batch_execute_tools(calls) — Run multiple tools concurrently in a single request (up to 10).
Skills, Workflows & More

Danube also offers skills (reusable agent instructions), workflows (multi-step tool chains), an agent web directory, agent management, and tool quality ratings. Use search_skills, list_workflows, search_sites, and other tools to explore these capabilities — they are all discoverable through the MCP connection.

When a Tool Needs Credentials

If execute_tool returns an auth_required error, it means the service needs credentials configured. Direct the user to configure credentials at https://danubeai.com/dashboard, then retry the tool.

Core Workflow

Every tool interaction follows this pattern:

  1. Explore — Start with list_services() or search_tools("what you want to do") to discover what's available. Try broad queries. Browse by category. Don't assume — search.
  2. Check auth — If the tool needs credentials, direct the user to https://danubeai.com/dashboard to configure them
  3. Gather parameters — Ask the user for any missing required info
  4. Execute — execute_tool(tool_id, parameters)
  5. Report — Tell the user what happened with specifics, not just "Done"

Links

  • Dashboard: https://danubeai.com/dashboard
  • Docs: https://docs.danubeai.com
  • MCP Server: https://mcp.danubeai.com/mcp
  • Privacy Policy: https://danubeai.com/privacy
  • Terms of Service: https://danubeai.com/terms

平台分布

OpenClaw

81.44%
按下载量换算24,550

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。目前只有一个公开来源,建议同时核对源仓库。

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