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🔍 Internet Search — 互联网搜索

v0.3.4

互联网搜索工具,支持多种搜索引擎和结果聚合。

0· 1,900·4 当前·5 累计
by @jzakirov (Jamil Zakirov)·MIT-0
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License
MIT-0
最后更新
2026/3/6
安全扫描
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无害
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OpenClaw
安全
high confidence
该技能的代码和指令与其所述目的(互联网搜索)一致,它使用多个搜索引擎进行交互,请求适当的配置,不请求无关的凭证或意外端点。
评估建议
此技能似乎确实做到了它声称的:互联网搜索工具,用于多种搜索引擎和结果聚合。安装或运行之前:1) 确认您的搜索API凭证已妥善配置,并且您对授予搜索访问权限感到满意。2) 仅在您信任的环境中运行,避免搜索敏感内容。3) 技能不请求凭证,但注意不要向脚本传递敏感的搜索关键词,除非您信任整个工具链。4) 如果您想要更高的保证,请在运行前在本地审查包含的脚本。
详细分析 ▾
用途与能力
Name/description match the SKILL.md: it advises how to use an internet_search tool (SearXNG aggregator). It does mention a self-hosted SearXNG instance but does not request endpoints or secrets — this is coherent for an instruction-only skill that expects the runtime to provide the actual tool/endpoint.
指令范围
The instructions focus narrowly on query formulation, category routing, counts, and multi-search strategies. They do not instruct reading files, environment variables, or transmitting unrelated data.
安装机制
No install spec and no code files — lowest-risk instruction-only artifact. Nothing is downloaded or written to disk by the skill itself.
凭证需求
The skill declares no environment variables or credentials, which is proportional. Note: it references a self-hosted SearXNG aggregator; any credentials/endpoints would be provided by the runtime, not the skill.
持久化与权限
Flags show default behavior (not always:true). The skill does not request persistent or elevated privileges and does not modify other skills or system settings.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv0.3.42026/2/23

初始版本,支持互联网搜索

● 无害

安装命令 点击复制

官方npx clawhub@latest install internet-search
镜像加速npx clawhub@latest install internet-search --registry https://cn.clawhub-mirror.com

技能文档

Queries a self-hosted SearXNG instance aggregating multiple search engines.

Category Routing

Always set category based on the nature of the query.

CategoryWhen to useEngines
generalDefault. Facts, how-tos, products, people, broad web.Brave, Bing, DDG, Startpage, Qwant, Wikipedia…
newsRecent events, breaking news, anything time-sensitive.Bing News, DDG News
academicResearch papers, studies, medical literature, preprints.arXiv, Google Scholar, PubMed
socialOpinions, community recommendations, "what do people think about X".Reddit

Query Formulation

Write queries as a search engine expects — keywords, not full sentences:

# Bad
"what is the fastest async runtime for rust"

# Good "rust async runtime benchmarks 2025"

  • news: include a time anchor — "OpenAI o3 release 2025" not just "OpenAI o3"
  • academic: use field terminology — "transformer attention efficiency survey"
  • social: phrase as community search — "reddit best mechanical keyboard 2025"

SearXNG Search Syntax (in query)

SearXNG supports lightweight query modifiers you can embed directly into the query string:

SyntaxMeaningExamples
! / !Select engine(s) and/or a category. Chainable and inclusive; abbreviations are accepted.!wp paris, !wikipedia paris, !map paris, !map !ddg !wp paris
:Language filter:fr !wp Wau Holland

Count

  • count=5 (default) — sufficient for most tasks
  • count=10 — comparing many options, checking consensus
  • count=3 — quick fact checks

Multi-Search Strategy

Fire multiple focused searches rather than one broad one:

# Bad: one vague search
internet_search("best way to deploy Node.js")

# Good: three targeted searches internet_search("Node.js Docker deployment best practices 2025") internet_search("Node.js PM2 vs Docker production", category="social") internet_search("Node.js zero-downtime deployment strategies")

Combine general + social for factual + sentiment coverage:

internet_search("Bun runtime performance vs Node.js benchmarks")
internet_search("Bun runtime production experience", category="social")

When NOT to Use

  • Things you already know with high confidence
  • Stable API docs or well-known syntax — use training knowledge
  • Repeating a search that already answered the question

Common Mistakes

MistakeFix
general for a research paperUse category="academic"
Searching "what happened today"Use category="news" with a specific topic
One broad search for a multi-part questionBreak into 2–3 focused searches
Repeating a failed search verbatimRephrase with different keywords
count=20 for a simple factDefault count=5 is almost always enough
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