Skip to content
TrustedSkillsbeta
Back to all skills

Gemini Api

Listed
google·vlatest·ai-ml·Apache-2.0

Provides API guidance and assistance for building AI and machine learning applications.

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 google/skills --skill gemini-api -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

google

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: example2.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

    example2.comundeclared

    What it found

    • skills/cloud/gemini-api/references/structured_and_tools.md:124contacts example2.com
      contents="Compare recipes from http://example.com and http://example2.com",

  • 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 google/skills at 22bf5d15d5.

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

Commit
22bf5d15d5
Manifest
skills/cloud/gemini-api/SKILL.md
Scanned
10 files, 1,107 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

The Google Gemini API skill enables AI agents to interact with Google's Gemini model, allowing them to perform tasks like text generation, image analysis, and multi-modal reasoning. It provides access to advanced language understanding and response capabilities through the Gemini API.

When to use it

  • To generate high-quality text responses for chatbots or content creation.
  • For analyzing images and generating descriptive text or insights.
  • When building applications that require multi-modal input processing (text, image, audio).
  • To integrate cutting-edge language models into custom workflows or tools.

Key capabilities

  • Text generation with advanced language understanding
  • Image analysis and interpretation
  • Multi-modal reasoning across text and visual data
  • Integration with Google's Gemini model for enhanced AI performance

Example prompts

  • "Analyze this image and describe what you see."
  • "Generate a detailed response to the user's query about climate change."
  • "Summarize the key points from this article and provide a concise overview."

Tips & gotchas

  • Ensure you have access to the Google Gemini API and proper authentication credentials.
  • Be mindful of usage limits and costs associated with API calls.