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Google Image Search

Listed
glebis·vlatest·video-media·MIT

Helps with image processing, search as part of agent workflows 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 glebis/claude-skills --skill google-image-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

glebis

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: customsearch.googleapis.com.

    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.

    Hosts contacted

    customsearch.googleapis.comundeclared

    What it found

    • google-image-search/scripts/api.py:7contacts customsearch.googleapis.com
      API_ENDPOINT = "https://customsearch.googleapis.com/customsearch/v1"

  • 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 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 glebis/claude-skills at 7524dff0c5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
7524dff0c5
Manifest
google-image-search/SKILL.md
Scanned
11 files, 2,135 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 enables AI agents to perform visual searches directly through Google Images, allowing them to find pictures matching specific text descriptions or keywords. It bridges the gap between textual queries and visual results, expanding the agent's ability to gather image-based information without manual browser navigation.

When to use it

  • Identifying real-world objects, landmarks, or products when only a vague description is available.
  • Verifying the visual appearance of items mentioned in news articles or reports.
  • Finding reference images for design concepts, fashion trends, or architectural styles.
  • Locating specific screenshots, diagrams, or infographics related to technical topics.

Key capabilities

  • Executes image search queries via Google's infrastructure.
  • Returns visual results based on natural language inputs.
  • Integrates seamlessly into AI agent workflows for data gathering.

Example prompts

  • "Find images of a vintage 1950s kitchen with teal cabinets."
  • "Search for diagrams explaining how a neural network processes data."
  • "Show me pictures of the latest model of the Sony A7IV camera."

Tips & gotchas

Ensure your search queries are descriptive enough to yield relevant visual results, as vague terms may return generic or unrelated images. Note that this skill relies on Google's public image index, so it cannot access private or restricted content.