Dandan Multi Search

多搜索引擎聚合搜索工具。集成17个搜索引擎（8个国内+9个国际），支持高级搜索语法、时间筛选、站内搜索、隐私引擎和 WolframAlpha 知识查询。无需 API Key。当用户要求搜索、多引擎搜索、聚合搜索、隐私搜索、或需要全面信息检索时触发。

Security Scan

This is an instruction-only multi-search aggregator whose requested actions and external endpoints match its stated purpose; it does not request credentials or install anything, but it will cause outbound web requests that can expose query data and the agent's IP to search providers.

Purpose & Capability

Name/description (multi-engine search aggregator) align with the instructions: SKILL.md only constructs search URLs and shows curl/Invoke-WebRequest examples for 17 listed engines (including WolframAlpha). No unrelated credentials, binaries, or installs are requested.

Instruction Scope

Runtime instructions tell the agent to perform HTTP requests against many external search endpoints (curl / Invoke-WebRequest) and to parse returned HTML (grep, Select-String). That is expected for a search aggregator, but it means user queries (including any sensitive content) will be sent to third-party services and the host IP may be exposed; parsing HTML from arbitrary search results is brittle and may return unexpected content.

Install Mechanism

No install spec and no code files — instruction-only skill. This is the lowest install risk (nothing is written to disk or downloaded by the skill).

Credentials

The skill requests no environment variables, credentials, or config paths. No disproportionate access is requested.

Persistence & Privilege

always:false and user-invocable:true (default). The skill does not request permanent/always-on inclusion or access to other skills' configs.

Assessment

This skill is coherent with its purpose, but consider the following before enabling: (1) Every query will be sent to third‑party search engines — avoid entering sensitive PII, secrets, account tokens, or confidential text you don't want shared. (2) Outbound requests reveal the calling host's IP to those services; if you need strong privacy, prefer DuckDuckGo/Startpage or use a proxy/VPN. (3) The examples use command-line HTML scraping (curl + grep / PowerShell parsing), which is brittle and may break or return unexpected content; test in a safe environment first. (4) Curling Google may be blocked or violate provider terms; expect rate limits and captchas. (5) If you do not want the agent to autonomously perform web requests, disable autonomous invocation or require explicit user confirmation for searches.

Multi-Search Engine 🔍

多搜索引擎聚合，支持17个搜索引擎，跨平台支持（macOS/Linux/Windows）。

触发条件

• 用户说"搜索 X"、"帮我查一下"、"多引擎搜索"
• 需要全面信息检索时
• 要求隐私搜索时
• 需要 WolframAlpha 知识查询时
• 搜索国内/国际内容切换时

支持的搜索引擎

国内引擎（8个）

引擎	URL	用途
百度	https://www.baidu.com/s?wd=	常规搜索
必应	https://cn.bing.com/search?q=	补充来源
搜狗	https://www.sogou.com/web?query=	补充来源
360	https://www.so.com/s?q=	补充来源
神马	https://m.sm.cn/s?q=	移动搜索
知乎	https://www.zhihu.com/search?type=content&q=	社区内容
微博	https://s.weibo.com/weibo?q=	社交内容
B站	https://search.bilibili.com/all?keyword=	视频/专栏

国际引擎（9个）

引擎	URL	用途
Google	https://www.google.com/search?q=	主引擎
DuckDuckGo	https://duckduckgo.com/?q=	隐私搜索
Bing	https://www.bing.com/search?q=	微软搜索
Yahoo	https://search.yahoo.com/search?p=	补充来源
Startpage	https://www.startpage.com/do/search?q=	隐私增强
WolframAlpha	https://www.wolframalpha.com/input?i=	知识计算
GitHub	https://github.com/search?q=	代码搜索
Google Scholar	https://scholar.google.com/scholar?q=	学术搜索
PubMed	https://pubmed.ncbi.nlm.nih.gov/?term=	医学搜索

跨平台用法

macOS / Linux

# 单引擎搜索
open "https://www.google.com/search?q=关键词"

# 多引擎聚合（curl + grep）
curl -s "https://www.google.com/search?q=关键词" | grep -oP 'https?://[^"<>]+' | head -10

# 隐私搜索（DuckDuckGo）
curl -s "https://duckduckgo.com/html/?q=关键词"

# WolframAlpha 计算知识
curl -s "https://www.wolframalpha.com/input?i=公式"

Windows (PowerShell)

# 单引擎搜索
Start-Process "https://www.google.com/search?q=关键词"

# 多引擎聚合
(Invoke-WebRequest -Uri "https://www.google.com/search?q=关键词" -UseBasicParsing).Content -split "`n" | Select-String "href" | ForEach-Object { $_.Matches.Value } | Select-Object -First 10

# 隐私搜索
(Invoke-WebRequest -Uri "https://duckduckgo.com/html/?q=关键词" -UseBasicParsing).Content

# WolframAlpha
Start-Process "https://www.wolframalpha.com/input?i=公式"

高级搜索语法

Google/百度 语法

"精确短语"          # 完全匹配
A OR B              # 或运算
A -B                # 排除词
site:github.com X   # 站内搜索
filetype:pdf X      # 指定文件类型
intitle:X           # 标题含关键词
inurl:X             # URL含关键词

时间筛选

&as_qdr=d        # 24小时内
&as_qdr=w        # 一周内
&as_qdr=m        # 一个月内
&as_qdr=y        # 一年内

使用决策树

1. 用户要求搜索？
   → 确定搜索意图和范围

2. 需要多引擎还是单引擎？
   → 重要/模糊主题 → 多引擎聚合
   → 明确简单查询 → 单引擎快速返回

3. 国内还是国际内容？
   → 国内 → 百度+必应+搜狗+360
   → 国际 → Google+DuckDuckGo+Bing
   → 学术 → Scholar+PubMed

4. 是否需要隐私保护？
   → 是 → DuckDuckGo / Startpage
   → 否 → Google / 百度

5. 是否需要知识计算？
   → 是 → WolframAlpha
   → 否 → 常规搜索

输出格式

## 搜索结果：<关键词>

### 📊 引擎覆盖
- 国内：百度 ✅ | 必应 ✅ | 搜狗 ✅
- 国际：Google ✅ | DuckDuckGo ✅ | Bing ✅

### 🔍 主要发现
1. [来源标题](URL) — 摘要...
2. ...

### 📖 深度来源
- [标题](URL)
- ...

### 💡 WolframAlpha 补充
[如有计算结果]

### 🔗 原始链接
- [Google](链接)
- [百度](链接)
- [DuckDuckGo](链接)

注意事项

• 国内引擎在海外可能访问受限
• DuckDuckGo 无需 API Key，隐私友好
• WolframAlpha 适合数学/科学问题
• 多引擎搜索会增加请求时间，酌情使用
• 学术搜索优先使用 Google Scholar / PubMed