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Liang Tavily Search 1.0.1

Name: Liang Tavily Search 1.0.1
Author: terryren2024

作者 TerryRen2024 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

741

总下载

当前安装

版本数

在 OpenClaw 中安装

/install liang-tavily-search-1-0-1

功能描述

Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.

使用说明 (SKILL.md)

Tavily Search

Search the web and get relevant results optimized for LLM consumption.

Authentication

Get your API key at https://tavily.com and add to your OpenClaw config:

{
  "skills": {
    "entries": {
      "tavily-search": {
        "enabled": true,
        "apiKey": "tvly-YOUR_API_KEY_HERE"
      }
    }
  }
}

Or set the environment variable:

export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"

Quick Start

Using the Script

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news

Examples

# Basic search
node {baseDir}/scripts/search.mjs "python async patterns"

# With more results
node {baseDir}/scripts/search.mjs "React hooks tutorial" -n 10

# Advanced search
node {baseDir}/scripts/search.mjs "machine learning" --deep

# News search
node {baseDir}/scripts/search.mjs "AI news" --topic news

# Domain-filtered search
node {baseDir}/scripts/search.mjs "Python docs" --include-domains docs.python.org

Options

Option	Description	Default
`-n \x3Ccount>`	Number of results (1-20)	10
`--depth \x3Cmode>`	Search depth: `ultra-fast`, `fast`, `basic`, `advanced`	`basic`
`--topic \x3Ctopic>`	Topic: `general` or `news`	`general`
`--time-range \x3Crange>`	Time range: `day`, `week`, `month`, `year`	-
`--include-domains \x3Cdomains>`	Comma-separated domains to include	-
`--exclude-domains \x3Cdomains>`	Comma-separated domains to exclude	-
`--raw-content`	Include full page content	false
`--json`	Output raw JSON	false

Search Depth

Depth	Latency	Relevance	Use Case
`ultra-fast`	Lowest	Lower	Real-time chat, autocomplete
`fast`	Low	Good	Need chunks but latency matters
`basic`	Medium	High	General-purpose, balanced
`advanced`	Higher	Highest	Precision matters, research

Tips

Keep queries under 400 characters - Think search query, not prompt
Break complex queries into sub-queries - Better results than one massive query
Use --include-domains to focus on trusted sources
Use --time-range for recent information
Filter by score (0-1) to get highest relevance results

安全使用建议

This skill appears coherent and limited to calling Tavily's search API. Before installing: 1) Be comfortable trusting Tavily with any full-page content you request (avoid --raw-content if you don't want large page contents sent to the service). 2) Store TAVILY_API_KEY securely (env var or the platform's secret store); the script uses a bearer token to call the API. 3) Ensure your runtime has a recent Node version that supports fetch (the script uses top-level await and fetch). 4) Note a minor metadata mismatch in owner IDs between registry metadata and _meta.json (likely benign but FYI). If you need stricter guarantees about data handling, review Tavily's privacy policy or avoid enabling --raw-content.

功能分析

Type: OpenClaw Skill Name: liang-tavily-search-1-0-1 Version: 1.0.0 The skill is a legitimate implementation of a web search tool using the Tavily API. The script `scripts/search.mjs` parses command-line arguments and performs a standard POST request to the official Tavily endpoint (api.tavily.com) using the provided API key. No evidence of data exfiltration, obfuscation, or malicious instructions was found.

能力评估

✓ Purpose & Capability

Name/description, required binary (node), and required env var (TAVILY_API_KEY) align with a simple Node script that calls https://api.tavily.com/search. The script only talks to the Tavily API and formats results for display.

ℹ Instruction Scope

SKILL.md and the script are narrowly scoped to running the search script and using the Tavily API. Note: the script supports a --raw-content option which requests full page content from Tavily; that increases the amount of user data sent to the external API when used. Otherwise the instructions do not read unrelated files or other env vars.

✓ Install Mechanism

No install spec — instruction-only plus a small included script. No downloads or archives; nothing is written to disk by an installer. The requirement that 'node' be present is appropriate for the .mjs script.

✓ Credentials

Only TAVILY_API_KEY is required and declared as the primary credential. That is proportional for a service-backed search skill. No other secrets, config paths, or unrelated credentials are requested.

✓ Persistence & Privilege

The skill does not request always:true and does not modify agent/system configs. It can be invoked by the agent (normal default), but there are no other privileged behaviors or persistent privileges requested.

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 liang-tavily-search-1-0-1
安装完成后，直接呼叫该 Skill 的名称或使用 /liang-tavily-search-1-0-1 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 tavily-search skill for web search using Tavily's LLM-optimized API. - Provides relevant search results with content snippets, scores, and metadata. - Supports various options: number of results, search depth, topic, time range, domain filters, and output format. - Includes detailed documentation for authentication and usage with practical search examples. - Designed for easy integration with OpenClaw; requires TAVILY_API_KEY environment variable.

元数据

Slug liang-tavily-search-1-0-1

版本 1.0.0

许可证 MIT-0

累计安装 20

当前安装数 18

历史版本数 1

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