What is tavily-search?

A web search and page-reading service that finds relevant online content and extracts text from web addresses. It is intended for general searches, news, and research.

Use it to search the web with a quick or detailed search, limit searches by topic, and extract readable content from one or more URLs.

It helps you gather current information without manually opening and reading many search results.

tavily-search — Skill for Claude Code and Codex by aws-samples

About the project

Sample Strands Agent with Amazon Bedrock AgentCore is an end-to-end reference architecture for building multi-agent chatbots on AWS. Teams use it to explore agent orchestration, tool execution, memory, browser automation, and agent-to-agent collaboration with Strands Agents and Bedrock AgentCore.

aws-samples/sample-strands-agent-with-agentcore · 197 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search

Clone the repo

git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search/github.svg)](https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search)

Your own site

<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/tavily-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 426 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00012	$0.00426
Opus 5.5	$0.00005	$0.00170
Sonnet 5.5	$0.00002	$0.00085
Haiku 4.5	$0.00001	$0.00043

Measured 2mo ago against content hash bae8b7da50f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tavily-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

chatbot-app/agentcore/skills/tavily-search/SKILL.md · 42 lines

What it actually says

Tavily AI Search

Available Tools

tavily_search(query, search_depth?, topic?): AI-powered web search that returns relevant, summarized results.
- query (string, required): Search query
- search_depth (string, optional, default: "basic"): "basic" for quick lookups, "advanced" for comprehensive research
- topic (string, optional, default: "general"): "general", "news", or "research"
tavily_extract(urls, extract_depth?): Extract clean, readable content from one or more web URLs.
- urls (string, required): Comma-separated URLs to extract content from
- extract_depth (string, optional, default: "basic"): "basic" or "advanced"

Usage Guidelines

Use tavily_search for research queries that benefit from AI-curated results.
Set search_depth to "advanced" for comprehensive research, "basic" for quick lookups.
Set topic to "news" for recent events, "research" for academic/technical topics.
Use tavily_extract to get full page content from specific URLs found in search results.
Tavily excels at recent information and news — prefer it for time-sensitive queries.

Citation Format

When presenting information from search results, wrap every specific claim in <cite> tags:

<cite source="SOURCE_TITLE" url="URL">claim text</cite>

Rules:

Cite factual claims, statistics, quotes, and specific information from search results.
The source attribute should contain the title or name of the source.
The url attribute should contain the source URL when available.
Do NOT cite your own reasoning or general knowledge.
If search results don't contain relevant information, inform the user rather than guessing.
Use the minimum number of citations necessary to support claims.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 42 lines · 12 tokens per session scan A bae8b7da50f0

Subscribe to this mod's changes

tavily-search is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (197 stars, last pushed 5d ago), licensed MIT. It adds 12 tokens to every session and 426 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Research a2a-protocol agent-to-agent agentcore ai-agents amazon-bedrock browser-automation

tavily-search next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
tavily-searchaws-samples/sample-strands-agent-with-agentcore	Skill	197	5d ago	MIT	A	12	Claude Code, Codex
mk:agent-browserngocsangyem/MeowKit	Skill	15	5d ago	MIT	A	114	Claude Code
draw-imageai-sns/ai-sns	Skill	323	3mo ago	MIT	A	67	Claude Code, Codex
governed-postgres-agentaws-samples/sample-pellier-agentic-search-apg	Skill	12	yesterday	MIT	A	54	Claude Code, Codex
care-and-returnsaws-samples/sample-pellier-agentic-search-apg	Skill	12	yesterday	MIT	A	29	Claude Code, Codex
evidenceaws-samples/sample-pellier-agentic-search-apg	Skill	12	yesterday	MIT	A	38	Claude Code, Codex
giftsaws-samples/sample-pellier-agentic-search-apg	Skill	12	yesterday	MIT	A	0	Claude Code, Codex