安全扫描
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 ▾
ℹ 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。
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.
| Category | When to use | Engines |
|---|---|---|
general | Default. Facts, how-tos, products, people, broad web. | Brave, Bing, DDG, Startpage, Qwant, Wikipedia… |
news | Recent events, breaking news, anything time-sensitive. | Bing News, DDG News |
academic | Research papers, studies, medical literature, preprints. | arXiv, Google Scholar, PubMed |
social | Opinions, community recommendations, "what do people think about X". |
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:
| Syntax | Meaning | Examples |
|---|---|---|
! / ! | 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 taskscount=10— comparing many options, checking consensuscount=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
| Mistake | Fix |
|---|---|
general for a research paper | Use category="academic" |
| Searching "what happened today" | Use category="news" with a specific topic |
| One broad search for a multi-part question | Break into 2–3 focused searches |
| Repeating a failed search verbatim | Rephrase with different keywords |
count=20 for a simple fact | Default count=5 is almost always enough |
数据来源:ClawHub ↗ · 中文优化:龙虾技能库
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