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Tavily Best Practices
作者
Evan Rimer
· GitHub ↗
· v1.0.0
· MIT-0
347
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tavily-bestpractices
功能描述
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor,...
安全使用建议
This skill is documentation for the Tavily SDK and integrations (search, extract, crawl, research). It is instruction-only and does not itself request or store secrets, but example code shows using TAVILY_API_KEY and other service keys (OpenAI, Cohere, MongoDB URIs). Before copying examples into real projects: only use real API keys with the official Tavily SDK, avoid pasting secrets into public places, and review any integration that stores web results in databases (e.g., save_foreign=True) to ensure you control where data and credentials are sent. If you want the agent to make live Tavily calls, plan to provide a Tavily API key deliberately and only to trusted code paths.
功能分析
Type: OpenClaw Skill
Name: tavily-bestpractices
Version: 1.0.0
This skill bundle is a comprehensive documentation and reference guide for the Tavily Search API, designed to help developers integrate web search and research capabilities into AI agents. It contains legitimate code examples for Python and JavaScript SDKs, as well as detailed integration guides for popular frameworks like LangChain, Pydantic AI, and CrewAI. No evidence of malicious logic, data exfiltration, unauthorized execution, or prompt injection was found across the provided files (SKILL.md and the references directory).
能力评估
Purpose & Capability
The name and description promise Tavily integration best practices and the files are a detailed SDK and integration guide for search, extract, crawl, map, and research — which matches the stated purpose. There are no unexpected binaries or privileged hooks requested by the skill itself.
Instruction Scope
The SKILL.md and reference files are instructional samples and code snippets (pip/npm install, client usage, async patterns, crawling and research flows). They do not instruct the agent to read arbitrary local files or exfiltrate data, but many examples reference environment variables, external services, and connecting to external resources (e.g., MongoDB URIs, OpenAI/Cohere keys, proxies). Those are example usage patterns rather than instructions the skill will autonomously execute, but users should be aware code snippets may prompt developers to provide credentials or connection strings when they copy them into real applications.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute. Nothing is written to disk by the skill itself — lowest install risk.
Credentials
The skill declares no required environment variables, which is consistent for a docs-only skill. However the documentation repeatedly shows TAVILY_API_KEY (and in integration examples references OPENAI_API_KEY, CO_API_KEY, MongoDB connection URIs, etc.). These example credentials are expected for the demonstrated integrations but are not required by the skill itself — users should not supply keys to this skill unless they intend to run the corresponding client code.
Persistence & Privilege
The skill does not request persistent presence (always:false) and does not attempt to modify other skills or system-wide settings. Autonomous invocation is enabled by default but is not coupled with any additional privileges or credential requests here.
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 tavily-bestpractices - 安装完成后，直接呼叫该 Skill 的名称或使用
/tavily-bestpractices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
tavily-best-practices 1.0.0
- Initial release with best-practice reference documentation for Tavily’s Python and JavaScript SDKs.
- Covers web search, content extraction, site crawling, URL discovery, and end-to-end AI research integration.
- Includes quick-start code examples and guides to key parameters for each workflow.
- Provides links to detailed references for SDK usage, query optimization, async patterns, and integrations with popular frameworks.
元数据
常见问题
Tavily Best Practices 是什么？
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 347 次。
如何安装 Tavily Best Practices？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tavily-bestpractices」即可一键安装，无需额外配置。
Tavily Best Practices 是免费的吗？
是的，Tavily Best Practices 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tavily Best Practices 支持哪些平台？
Tavily Best Practices 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 Tavily Best Practices？
由 Evan Rimer（@evanydl）开发并维护，当前版本 v1.0.0。
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