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Gpt Image 1 5

Checked
intellectronica·vlatest·ai-ml·CC0-1.0

Generates detailed, photorealistic images from text prompts using advanced diffusion techniques.

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 intellectronica/agent-skills --skill gpt-image-1-5 -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

intellectronica

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 intellectronica/agent-skills at 9b0e00ad1b.

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

Commit
9b0e00ad1b
Manifest
skills/gpt-image-1-5/SKILL.md
Scanned
2 files, 412 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 leverages OpenAI's DALL·E image generation model (version 1.5) to create images from textual descriptions. It allows AI agents to generate visual representations of ideas, concepts, or scenes based on user prompts. The generated images are intended to be creative and visually engaging.

When to use it

  • Content Creation: Generate illustrations for blog posts, social media updates, or presentations.
  • Prototyping & Design: Quickly visualize design concepts or product mockups.
  • Storytelling & Education: Create images to accompany stories or explain complex topics visually.
  • Creative Exploration: Explore visual ideas and generate unique artwork based on textual prompts.

Key capabilities

  • Image generation using DALL·E 1.5
  • Text-to-image conversion
  • Creative image output

Example prompts

  • "Generate an image of a cat wearing a spacesuit, floating in orbit around Earth."
  • "Create a photorealistic image of a futuristic cityscape at sunset."
  • "Draw a whimsical illustration of a friendly dragon playing with children."

Tips & gotchas

  • The quality and accuracy of the generated images depend heavily on the clarity and detail of the prompt. Experiment with different phrasing to achieve desired results.