Tavily Search 1

v1.0.0

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

0· 503·16 current·17 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for petterhuang92-design/tavily-search-1.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Tavily Search 1" (petterhuang92-design/tavily-search-1) from ClawHub.
Skill page: https://clawhub.ai/petterhuang92-design/tavily-search-1
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: TAVILY_API_KEY
Required binaries: node
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install tavily-search-1

ClawHub CLI

Package manager switcher

npx clawhub@latest install tavily-search-1
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Purpose & Capability
Name/description match the implemented behavior: both scripts call https://api.tavily.com endpoints to perform search and extract. Required binary (node) and required env var (TAVILY_API_KEY) are appropriate. Minor issue: _meta.json ownerId differs from the registry Owner ID in the provided metadata, which is a packaging/ provenance inconsistency worth verifying but does not change functionality.
Instruction Scope
SKILL.md and the scripts limit actions to taking CLI args, reading TAVILY_API_KEY, and POSTing queries/URLs to Tavily endpoints. The scripts do not read other files, config paths, or unrelated environment variables, nor do they transmit data to third parties outside tavily.com.
Install Mechanism
No install mechanism is specified (instruction-only skill with included scripts). That is low risk; the code is executed by the user's node runtime and no archives or remote downloads are performed by the skill itself.
Credentials
Only a single environment variable (TAVILY_API_KEY) is required and it is used directly in requests to the Tavily API. This is proportionate to a search/extract integration.
Persistence & Privilege
The skill does not request persistent/always-on inclusion and does not modify other skills or system-wide settings. It runs as invoked and has no elevated platform privileges.
Assessment
This skill will send any queries and any URLs you pass to Tavily's servers and will include your TAVILY_API_KEY in those requests. Before installing: (1) confirm you trust tavily.com and the published skill source (note the ownerId mismatch in _meta.json vs registry metadata), (2) avoid sending sensitive internal URLs or secrets through the skill, (3) ensure Node (with global fetch support) is available, and (4) treat the API key as sensitive — rotate it if you suspect it was exposed. If provenance is important, ask the publisher to explain the metadata mismatch or provide an official upstream link.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🔍 Clawdis
Binsnode
EnvTAVILY_API_KEY
Primary envTAVILY_API_KEY
latestvk9732v530tw2chcj1hgg2jwn3d82fgx4
503downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Tavily Search

AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.

Search

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

Options

  • -n <count>: Number of results (default: 5, max: 20)
  • --deep: Use advanced search for deeper research (slower, more comprehensive)
  • --topic <topic>: Search topic - general (default) or news
  • --days <n>: For news topic, limit to last n days

Extract content from URL

node {baseDir}/scripts/extract.mjs "https://example.com/article"

Notes:

  • Needs TAVILY_API_KEY from https://tavily.com
  • Tavily is optimized for AI - returns clean, relevant snippets
  • Use --deep for complex research questions
  • Use --topic news for current events

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