MCPInstall

multi-search

by nex-zmhBackend & APIs

智能多引擎搜索，自动检测网络环境并按优先级切换：DuckDuckGo - Tavily - Bing API - Bing爬虫。支持自动配额管理和网络缓存。Invoke when user needs web search with automatic engine selection and network adaptation.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/nex-zmh/agent-websearch-skill --skill multi-search
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads multi-search automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Multi-Search Skill - 智能多引擎搜索

本技能整合多个搜索引擎，自动检测网络环境，智能选择最佳可用引擎。

引擎优先级

质量优先模式 (prefer_quality=True)

  1. Tavily API (1000次/月) - 质量最高，需 API Key
  2. DuckDuckGo (无限免费) - 无需 API Key
  3. Bing Web Search API (1000次/月) - 需 API Key
  4. Bing 爬虫 (无限免费) - 最终回退

平衡模式 (prefer_quality=False, 默认)

  1. DuckDuckGo (无限免费) - 优先免费引擎
  2. Tavily API (1000次/月) - 如果配置了 API Key
  3. Bing Web Search API (1000次/月)
  4. Bing 爬虫 (无限免费)

核心能力

  • 智能网络检测与引擎切换
  • 自动配额管理（Tavily/Bing API）
  • 支持网页内容抓取
  • 5分钟网络检测缓存

使用方式

基本搜索

from multi_search import search

# 平衡模式 - 优先免费引擎
results = search("Python tutorial", max_results=5)

# 质量优先模式 - 优先使用 Tavily
results = search("AI research", max_results=5, prefer_quality=True)

# 强制重新检测网络（切换 VPN 后使用）
results = search("OpenClaw skills", max_results=5, force_network_check=True)

搜索技能（自动质量优先）

from multi_search import search_skills

results = search_skills("OpenClaw AI agent automation", max_results=10)

查看系统状态

from multi_search import get_status

status = get_status()  # 使用缓存
status = get_status(force_network_check=True)  # 强制重新检测

抓取网页详细内容

from multi_search import search, fetch_web_content, fetch_search_results_content

# 搜索并抓取第一个结果的详细内容
results = search("OpenClaw new features", max_results=3)
if results:
    content = fetch_web_content(results[0]['href'], max_length=3000)
    # content['title'], content['content'], content['success']

# 批量抓取所有搜索结果的详细内容
enriched_results = fetch_search_results_content(results, max_length=2000)
for r in enriched_results:
    if r.get('full_content'):
        # 使用 summarize 技能总结内容
        pass

与 Summarize 技能结合使用

OpenClaw 工作流：
1. 使用 multi-search 搜索关键词
2. 选择感兴趣的搜索结果
3. 使用 fetch_web_content() 抓取网页内容
4. 使用 summarize 技能总结网页内容
5. 将摘要呈现给用户

返回结果格式

[
    {
        'title': '结果标题',
        'href': 'https://example.com',
        'body': '结果摘要...',
        'source': 'duckduckgo'  # 或 'tavily', 'bing_api', 'bing_scraper'
    }
]

参数说明

  • query: 搜索关键词
  • max_results: 最大结果数（默认5）
  • prefer_quality: 是否优先质量（默认False）
  • force_network_check: 是否强制重新检测网络（默认False）

注意事项

  • DuckDuckGo: 免费无限，但某些网络环境无法访问
  • Tavily: 质量高，需要 API key，1000次/月
  • Bing API: 官方稳定，需要 Azure 账号，1000次/月
  • Bing 爬虫: 免费无限，但可能受反爬影响

FAQ

What does the multi-search skill do?

智能多引擎搜索，自动检测网络环境并按优先级切换：DuckDuckGo - Tavily - Bing API - Bing爬虫。支持自动配额管理和网络缓存。Invoke when user needs web search with automatic engine selection and network adaptation.

How do I install multi-search?

Run npx skills add https://github.com/nex-zmh/agent-websearch-skill --skill multi-search in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/multi-search/ (personal) or .claude/skills/multi-search/ (project).

Which AI agents can use multi-search?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is multi-search safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains multi-search?

It is published by nex-zmh in nex-zmh/agent-websearch-skill. It has 1,044 recorded installs.

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