Tavily Search
CheckedHelps with AWS, search as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aws-samples
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned aws-samples/sample-strands-agent-with-agentcore at 4c1933d9e3.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4c1933d9e3
- Scanned
- 1 file, 40 lines
About this skill
What it does
This skill provides access to the Tavily search engine, enabling AI agents to retrieve information from the web. It allows for structured data extraction and summarization of search results, providing more than just links. The agent can use this skill to answer questions, gather current events, or perform research tasks requiring up-to-date online information.
When to use it
- Researching a topic: Gather background information on a specific subject for report writing or presentations.
- Answering factual questions: Provide accurate and current answers to user queries that require web search.
- Monitoring news and events: Track developments in a particular industry or area of interest by searching for recent articles.
- Competitive analysis: Gather information about competitors' products, services, or marketing strategies.
Key capabilities
- Accesses the Tavily search engine.
- Provides structured data extraction from search results.
- Summarizes search result content.
Example prompts
- "Search for recent news articles about AI safety."
- "What are the latest advancements in electric vehicle battery technology?"
- "Find information on the current price of Bitcoin and its historical trends."
Tips & gotchas
This skill requires an internet connection to function correctly. The quality of results depends on the Tavily search engine's capabilities and indexing.