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Google Web Search

Checked
aws-samples·vlatest·backend·MIT

Helps with web development, search as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-web-search -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to 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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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
Manifest
chatbot-app/agentcore/skills/google-web-search/SKILL.md
Scanned
1 file, 34 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows an AI agent to perform Google web searches and retrieve results. It can be used to gather information on a wide range of topics, summarize findings from multiple websites, or answer questions requiring external data. The skill provides access to current information available online.

When to use it

  • Researching a topic: Gather background information for a report or presentation.
  • Answering factual questions: Provide responses based on up-to-date web content (e.g., "What's the weather in London?").
  • Summarizing news events: Quickly collect and synthesize information from multiple news sources about a specific event.
  • Finding product details: Retrieve specifications, reviews, or pricing for products available online.

Key capabilities

  • Performs Google web searches.
  • Retrieves search results.
  • Provides access to current online information.

Example prompts

  • "Search the web for 'best hiking trails near Seattle'."
  • "What is the capital of France?"
  • "Find recent news articles about artificial intelligence."

Tips & gotchas

The quality of search results depends on the clarity and specificity of the prompt. Broad or ambiguous queries may return less relevant information.