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在 OpenClaw 中安装
/install kn70-search
功能描述
Search the web using multiple engines (Tavily, multi-search-engine, or SearXNG)
使用说明 (SKILL.md)
Provides tools for web search using Tavily (AI-optimized), multi-search-engine (17 engines without API key), or SearXNG (self-hosted).
Usage:
// Use Tavily (recommended)
search_web({ query: "AI news", engine: "tavily", max_results: 10 })
// Use multi-search-engine (no API key needed)
search_web({ query: "AI news", engine: "multi", max_results: 10 })
// Use SearXNG (Windows Docker Desktop required)
search_web({ query: "AI news", engine: "searxng", max_results: 10 })
Engine Comparison:
| Engine | Speed | Quality | Cost | Notes |
|---|---|---|---|---|
| tavily | ⚡ Fast | ⭐⭐⭐⭐⭐ | Free (dev) | AI-optimized, includes snippets |
| multi | ⚡ Fast | ⭐⭐⭐⭐ | Free | 17 engines (Baidu, Bing, Google, etc.) |
| searxng | 🐌 Medium | ⭐⭐⭐⭐⭐ | Free | Self-hosted, requires Docker Desktop |
安全使用建议
Do not install yet. Ask the author to: 1) remove hardcoded API keys and explain any default key (rotate/disable it if it was real); 2) declare required environment variables (TAVILY_API_KEY, SEARXNG_URL) in the manifest; 3) avoid or document absolute exec paths — either include the Python script in the package or replace subprocess calls with in-repo implementations or remote API calls; 4) confirm why api.exec is needed and whether it can be avoided (subprocess execution increases risk); 5) provide a clear install spec or make the skill self-contained and cross-platform. If you must try it, run in a sandboxed environment, do not expose sensitive credentials, and review or remove the embedded key first.
功能分析
Type: OpenClaw Skill
Name: kn70-search
Version: 1.0.0
The skill bundle contains hardcoded absolute Windows file paths (D:\winopenclaw\workspace\...) and attempts to execute external Python scripts via api.exec that are not included in the package (plugin.ts). It also includes a hardcoded Tavily API key (tvly-dev-...) in multiple files (plugin.ts, providers/tavily.ts). The use of api.exec to run unverified local scripts combined with hardcoded credentials and specific environment assumptions is highly irregular and poses a security risk.
能力评估
Purpose & Capability
The skill claims multi-engine web search, which is consistent with the code's intent, but the implementation requires environment variables and external artifacts that are not declared (TAVILY_API_KEY, SEARXNG_URL) and it execs a hardcoded, absolute Windows path to a legacy Python script — behavior that does not align with the manifest (no required env or install).
Instruction Scope
SKILL.md describes engine choices and SearXNG requirements but does not disclose that the runtime will: call external hosts, use an embedded Tavily API key fallback, or execute a Python script at a fixed D:\ path via api.exec. The instructions also omit that api.web_fetch and api.exec will be used, and they don't declare required env vars.
Install Mechanism
There is no install spec, but the code depends on an external Python script at an absolute Windows path (D:\winopenclaw\...), which is not part of the bundle and will fail or cause unexpected behavior. No downloads are declared, but the skill spawns a subprocess — this mismatch is risky and fragile.
Credentials
skill.yaml references a TAVILY_API_KEY env but the registry metadata lists no required envs; the code reads process.env.TAVILY_API_KEY and process.env.SEARXNG_URL and also ships a hardcoded default Tavily API key in multiple files. Requesting/embedding an API key without declaring it and shipping a hardcoded key is disproportionate and may leak credentials.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system settings. However, it performs subprocess execution (api.exec) and outbound network requests; combined with the other concerns (undeclared envs, hardcoded key, absolute-path exec) this increases potential impact if invoked autonomously.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install kn70-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/kn70-search触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of kn70-search web search skill.
- Enables web searches using Tavily (AI-optimized), multi-search-engine (17 engines), or SearXNG (self-hosted).
- Supports multiple engines with customizable results and usage examples.
- Provides an engine comparison table to guide selection.
- No API key required for multi-search-engine; SearXNG setup requires Docker Desktop.
元数据
常见问题
Search 是什么？
Search the web using multiple engines (Tavily, multi-search-engine, or SearXNG). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 256 次。
如何安装 Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install kn70-search」即可一键安装，无需额外配置。
Search 是免费的吗？
是的，Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Search 支持哪些平台？
Search 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Search？
由 hollisken（@hollisken）开发并维护，当前版本 v1.0.0。
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