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Google Veo

Checked
inference-sh·vlatest·video-media

This skill uses Google Veo to generate realistic, high-quality images from text prompts, offering creative visual content quickly.

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 inference-sh/skills --skill google-veo -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

inference-sh

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 inference-sh/skills at c2d5678f14.

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

Commit
c2d5678f14
Manifest
tools/video/google-veo/SKILL.md
Scanned
1 file, 108 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 integrates Google's Veo video generation model into AI agents, enabling the creation of high-quality video content directly from text or image prompts. It allows agents to generate dynamic visual sequences for storytelling, marketing, and creative visualization tasks.

When to use it

  • Generating short promotional clips for social media campaigns based on a product description.
  • Creating storyboard visuals or scene mockups for film and animation projects without manual editing.
  • Producing educational video segments that illustrate complex concepts through generated motion.
  • Rapidly prototyping visual ideas during the brainstorming phase of content creation.

Key capabilities

  • Text-to-video generation using Google's Veo model.
  • High-fidelity visual output suitable for professional and creative applications.
  • Direct integration within AI agent workflows for automated media production.

Example prompts

  • "Generate a 5-second video showing a futuristic cityscape transitioning into a green park."
  • "Create a short clip demonstrating how a new coffee machine brews espresso step-by-step."
  • "Produce a visual sequence of a character walking through a rainy cyberpunk street at night."

Tips & gotchas

Ensure your prompts are descriptive and include specific details about lighting, style, and motion to maximize output quality. Be aware that generation time may vary depending on the complexity of the requested video scenes.