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travily_search_pro

作者 DevenChen · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
615
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install travily
功能描述
使用 Tavily AI 进行网络搜索、深度研究、内容提取。支持 search、research、extract 三个功能。
安全使用建议
This skill appears to implement the advertised Tavily search/research/extract functionality, but take these precautions before installing or using it: - Treat the included .env/TAVILY_API_KEY as sensitive. Do not assume the key is safe to use; remove it from the local copy or replace with your own key. If the key is valid, it may be rate-limited or revoked. - The package metadata did not declare the TAVILY_API_KEY requirement — expect to supply it manually. Confirm you understand where the key will be stored and who can access the repo. - There is no install spec for Python dependencies; the code imports a 'tavily' package and 'requests'. Verify the provenance of the 'tavily' package before installing (pip source, repository, or vendor) to avoid running untrusted third-party code. - Confirm the external endpoints (https://api.tavily.com) are legitimate and acceptable for your environment. Monitor network traffic if you have concerns. - If you need higher assurance, request the upstream source or a signed release, or ask the publisher to fix metadata (declare required env vars) and remove embedded keys. Given these packaging and secret-management issues, review and remediate before use.
功能分析
Type: OpenClaw Skill Name: travily Version: 1.0.1 The skill bundle provides a legitimate interface for the Tavily AI search and research API. It contains Python scripts (tavily_client.py, tavily_extract.py, tavily_research.py) that use standard libraries like 'requests' to interact with the official api.tavily.com endpoints. The code logic is transparent, aligns with the stated purpose of web searching and content extraction, and handles API keys through a standard .env configuration without any evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The name/description (Tavily search/research/extract) match the code: scripts call Tavily API endpoints. However the registry metadata claims no required environment variables while both SKILL.md and all scripts expect a TAVILY_API_KEY in a .env file — that mismatch is an incoherence.
Instruction Scope
SKILL.md instructs storing TAVILY_API_KEY in .env and running the included scripts; the scripts read .env and make HTTPS requests to api.tavily.com. The instructions do not ask the agent to read unrelated files or phone home to unexpected domains — behavior stays within the stated purpose.
Install Mechanism
There is no install spec despite Python code that imports external packages: 'tavily' (TavilyClient) and 'requests'. The scripts prompt installing requests but do not declare dependencies or how to obtain the 'tavily' package. This omission is a packaging/operational gap that could lead users to install unknown third‑party packages without guidance.
Credentials
The skill requires a single API credential (TAVILY_API_KEY), which is proportionate to the service. However the metadata omitted this requirement, and the repository includes a .env file containing a TAVILY_API_KEY value (appears to be a dev key). Shipping an API key in the package is risky — if it's valid it could be abused or leak; if it's a placeholder that's less risky but still poor practice. The code reads .env from the repo root and sets environment variables automatically, which amplifies the impact of any embedded secrets.
Persistence & Privilege
The skill does not request permanent 'always' inclusion, does not modify other skills or system-wide settings, and only writes output files when explicitly asked by the user. Autonomous invocation is allowed by platform default (not flagged by itself).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install travily
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /travily 触发
  4. 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
v1.0.1
Initial release of Tavily Search Skill: - 提供三大核心功能:网络搜索(search)、深度研究(research)、URL 内容提取(extract)。 - API Key 配置简单,支持免费注册获取。 - 支持多参数自定义,包括结果数量、搜索深度、时间范围、模型选择输出格式等。 - 提供命令行工具与详细使用示例,便于快速上手。
元数据
Slug travily
版本 1.0.1
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

travily_search_pro 是什么?

使用 Tavily AI 进行网络搜索、深度研究、内容提取。支持 search、research、extract 三个功能。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 615 次。

如何安装 travily_search_pro?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install travily」即可一键安装,无需额外配置。

travily_search_pro 是免费的吗?

是的,travily_search_pro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

travily_search_pro 支持哪些平台?

travily_search_pro 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 travily_search_pro?

由 DevenChen(@devang668)开发并维护,当前版本 v1.0.1。

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