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Generate Image

Checked
cluesmith·vlatest·ai-ml·Apache-2.0

Helps with code generation, image processing 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 cluesmith/codev --skill generate-image -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

cluesmith

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 cluesmith/codev at 1caf6ce92f.

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

Commit
1caf6ce92f
Manifest
.codex/skills/generate-image/SKILL.md
Scanned
3 files, 222 lines
Copies in repo
3 — all of them scanned
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 cluesmith-generate-image skill allows AI agents to create images based on textual descriptions. It leverages an underlying image generation model (not specified in the source) to produce visual outputs from user prompts. This enables agents to respond with images, rather than just text.

When to use it

  • Visualizing concepts: Generate a diagram or illustration of a complex process described in a document.
  • Creating marketing materials: Produce simple graphics for social media posts or advertisements based on textual descriptions.
  • Prototyping designs: Quickly create visual representations of product ideas from written specifications.
  • Educational purposes: Illustrate historical events, scientific concepts, or literary scenes through generated imagery.

Key capabilities

  • Image generation from text prompts.
  • Integration with AI agents for visual responses.

Example prompts

  • "Generate an image of a cat wearing a hat."
  • "Create a visualization of the water cycle."
  • "Show me what a futuristic city might look like."

Tips & gotchas

The quality of generated images depends heavily on the clarity and detail provided in the prompt. Experiment with different phrasing to achieve desired results.