Openclaw Tavily Search.Bak

v1.0.0

Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for make453/openclaw-tavily-search-bak.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Openclaw Tavily Search.Bak" (make453/openclaw-tavily-search-bak) from ClawHub.
Skill page: https://clawhub.ai/make453/openclaw-tavily-search-bak
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
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 openclaw-tavily-search-bak

ClawHub CLI

Package manager switcher

npx clawhub@latest install openclaw-tavily-search-bak
Security Scan
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high confidence
Purpose & Capability
Name/description declare a web search integration with Tavily; the included script posts queries to https://api.tavily.com/search and returns titles/URLs/snippets. Required inputs (TAVILY_API_KEY via env or ~/.openclaw/.env) align with that purpose.
Instruction Scope
SKILL.md instructs running the bundled Python script and documents the API key locations it reads. The script only reads the API key (env or ~/.openclaw/.env), sends a POST to the Tavily API, and formats the response; it does not attempt to read unrelated files or exfiltrate other environment variables.
Install Mechanism
No install spec; this is an instruction-only skill with a small, readable Python script that uses standard library modules (urllib). Nothing is downloaded or extracted during install.
Credentials
Only one secret is required (TAVILY_API_KEY), which is appropriate for a third-party search API integration. The script only accesses that key and no other credentials or config paths.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence or modify other skills or system-wide settings. Autonomous invocation is allowed by default but not excessive here.
Assessment
This skill is coherent: it simply forwards your query and the provided TAVILY_API_KEY to Tavily's API and returns results. Before installing, confirm you trust the Tavily service and are comfortable sending queries and the API key to https://api.tavily.com. Verify the API key is stored only where you intend (environment variable or ~/.openclaw/.env). Note small inconsistencies in metadata (the _meta.json slug/owner/publishedAt look odd) — that does not change the code behavior but you may want to confirm the skill's source/author if provenance matters.

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

latestvk97exsg4s3m0bc4569jxzg434d83a2zq
185downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Tavily Search

Use the bundled script to search the web with Tavily.

Requirements

  • Provide API key via either:
    • environment variable: TAVILY_API_KEY, or
    • ~/.openclaw/.env line: TAVILY_API_KEY=...

Commands

Run from the OpenClaw workspace:

# raw JSON (default)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5

# include short answer (if available)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --include-answer

# stable schema (closer to web_search): {query, results:[{title,url,snippet}], answer?}
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format brave

# human-readable Markdown list
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format md

Output

raw (default)

  • JSON: query, optional answer, results: [{title,url,content}]

brave

  • JSON: query, optional answer, results: [{title,url,snippet}]

md

  • A compact Markdown list with title/url/snippet.

Notes

  • Keep max-results small by default (3–5) to reduce token/reading load.
  • Prefer returning URLs + snippets; fetch full pages only when needed.

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