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Comfyui Api

Checked
mckruz·vlatest·ai-ml·MIT

Provides API guidance and assistance for agent workflows.

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 mckruz/comfyui-expert --skill comfyui-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

mckruz

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

    Only contacts known or declared hosts: 127.0.0.1.

    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

    127.0.0.1local
  • 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 mckruz/comfyui-expert at dee27dc3d6.

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

Scanned
1 file, 154 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

The ComfyUI API skill enables AI agents to interact with ComfyUI workflows programmatically, allowing for automated image generation and workflow management without manual interface interaction. It serves as a bridge between text-based agent commands and the complex node-based architecture of ComfyUI.

When to use it

  • Automate repetitive image generation tasks by triggering predefined workflows via API calls.
  • Integrate custom nodes and external models directly into an AI agent's execution pipeline.
  • Manage workflow states, inputs, and outputs dynamically within a serverless or containerized environment.
  • Scale generative art production by decoupling the user interface from the backend processing logic.

Key capabilities

  • Programmatic access to ComfyUI node graph execution.
  • Support for custom node integration and extension.
  • Dynamic input parameter handling for image generation.
  • Workflow state management and result retrieval.

Example prompts

  • "Execute a specific ComfyUI workflow using the provided prompt and seed values."
  • "Generate an image by calling the comfyui-api with custom parameters for resolution and style."
  • "Retrieve the output of the last generated image from the active ComfyUI session."

Tips & gotchas

Ensure your ComfyUI instance is running as a server with API access enabled before attempting to connect. Verify that any custom nodes required by your workflow are installed on both the agent's configuration and the target ComfyUI instance to prevent execution errors.