comfyui-core

comfyui-core is a skill for Claude Code from artokun/comfyui-mcp. It costs 24 tokens per session (3,560 once invoked), scanned A, original, MIT.

A guide to ComfyUI, a visual system where AI image and video workflows are built from connected processing blocks called nodes. It explains the JSON format used to save and run those workflows.

In plain words
What is it for?
Use it to inspect, create, modify, and run ComfyUI workflows, including loading models, encoding prompts, connecting outputs, and saving results.
Why use it?
It helps agents create valid workflows and connect nodes correctly. It removes confusion around node IDs, input values, and links between one node's outputs and another node's inputs.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the comfy plugin — 42 skills, 11 commands, 4 agents, 2 hooks shipped together

Good fit Use it to inspect, create, modify, and run ComfyUI workflows, including loading models, encoding prompts, connecting outputs, and saving results.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add artokun/comfyui-mcp
Claude Code
/plugin install comfy

Made for: Claude Code.

Or install comfy, the plugin that ships this one along with the rest of its 42 skills, 11 commands, 4 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for comfyui-core

README.md
[![agentmods](https://agentmods.dev/badge/skills/artokun/comfyui-mcp/comfyui-core/github.svg)](https://agentmods.dev/skills/artokun/comfyui-mcp/comfyui-core)
Your own site
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/comfyui-core"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/comfyui-core/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for comfyui-core

Your own site · 80×15
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/comfyui-core"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/comfyui-core.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,560 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.03560
Opus 5 $0.00012 $0.01780
Sonnet 5 $0.00005 $0.00712
Haiku 4.5 $0.00002 $0.00356

Measured 10d ago against content hash f5be708b8161, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

comfyui-core scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/comfyui-core/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ComfyUI Core Knowledge

Workflow JSON Format (API Format)

ComfyUI workflows are JSON objects mapping string node IDs to node definitions:

{
  "1": {
    "class_type": "CheckpointLoaderSimple",
    "inputs": { "ckpt_name": "sd_xl_base_1.0.safetensors" },
    "_meta": { "title": "Load Checkpoint" }
  },
  "2": {
    "class_type": "CLIPTextEncode",
    "inputs": { "text": "a cat", "clip": ["1", 1] },
    "_meta": { "title": "Positive Prompt" }
  }
}

Key Rules

  • Node IDs are strings of integers ("1", "2", etc.)
  • class_type is the exact Python class name of the node
  • inputs contains both widget values (scalars) and connections (arrays)
  • Connections use the format ["sourceNodeId", outputIndex], a 2-element array where:
    • the first element is the string node ID of the source node
    • the second element is the integer index into the source node's output list (0-based)
  • _meta is optional and used for display titles only

Connection Examples

"model": ["1", 0]       // Connect to node 1's first output (MODEL)
"clip": ["1", 1]        // Connect to node 1's second output (CLIP)
"vae": ["1", 2]         // Connect to node 1's third output (VAE)
"positive": ["2", 0]    // Connect to node 2's first output (CONDITIONING)
"samples": ["5", 0]     // Connect to node 5's first output (LATENT)
"images": ["6", 0]      // Connect to node 6's first output (IMAGE)

Important: API Format vs Web UI Format

  • API format (for execution/analysis) is { "1": { class_type, inputs }, "2": { ... } }. It is compact and used by enqueue_workflow, create_workflow (action:"validate"), create_workflow (action:"modify"), etc.
  • Web UI format (for saving and frontend editing) is { "nodes": [...], "links": [...] }. It includes layout positions, sizes, groups, and visual metadata so ComfyUI's canvas can open and edit it
  • Execution tools expect and return API format
  • Save in Web UI format so saved workflows stay readable and editable in the ComfyUI frontend. A raw API-format save is not canvas-editable. It "exists" in the library but loads blank in the canvas, which strands users and tempts agents into creating yet another new workflow instead of reopening the old one. Because of this, save_workflow auto-converts API-format input to Web UI format with a generated layout. Prefer passing real Web UI format (from get_workflow(action="get", filename=…, format="ui")), since a generated layout loses the original node positions and groups
  • get_workflow defaults to format="api" for analysis/execution; use format="ui" when loading a workflow to re-save or edit in the canvas
  • Muted/bypassed nodes are preserved with _meta.mode: "muted". They are inactive but visible for understanding the workflow
  • Get/Set virtual wire nodes are preserved with _meta.title and Constant key for tracing data flow

Read the full file on GitHub · 272 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 272 lines · 24 tokens per session scan A f5be708b8161

Subscribe to this mod's changes

comfyui-core is a skill published in the GitHub repository artokun/comfyui-mcp (735 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 3,560 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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