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.
/plugin marketplace add artokun/comfyui-mcp/plugin install comfyWrote 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.
[](https://agentmods.dev/commands/artokun/comfyui-mcp/recipe)<a href="https://agentmods.dev/commands/artokun/comfyui-mcp/recipe"><img src="https://agentmods.dev/badge/commands/artokun/comfyui-mcp/recipe/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.
<a href="https://agentmods.dev/commands/artokun/comfyui-mcp/recipe"><img src="https://agentmods.dev/badge/commands/artokun/comfyui-mcp/recipe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.02178 |
| Opus 5 | $0.00009 | $0.01089 |
| Sonnet 5 | $0.00004 | $0.00436 |
| Haiku 4.5 | $0.00002 | $0.00218 |
Grade A, and why
recipe 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- recipe — 91% identical, 54 lines differ
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/comfy-recipe — Multi-Step Generation Recipes
The user wants to run a predefined multi-step image generation pipeline. Each recipe chains several workflows together, passing the output of one step as input to the next.
Instructions
-
Parse the arguments. The argument is: $ARGUMENTS
If no argument was provided, list the available recipes and ask the user to choose one.
Extract:
- Recipe name: the first word (e.g.,
portrait,hires-fix,product-shot,style-transfer) - Prompt: everything after the recipe name
- Recipe name: the first word (e.g.,
-
Available recipes:
portrait: generate a portrait and upscale itproduct-shot: generate a product image with clean backgroundhires-fix: generate at low resolution, then upscale with img2img for more detailstyle-transfer: apply a style prompt to an existing image via img2imgmorph: generate two frames and create a smooth morph video between them
-
Check available models. Call
list_local_modelswithmodel_type: "checkpoints"to find a checkpoint. Also checkmodel_type: "upscale_models"for upscale recipes. If models are missing, download appropriate ones before proceeding. -
Execute the recipe. For each step, create the workflow, run it, and chain the output.
Portrait Recipe
- Step 1: Generate.
create_workflowwithtxt2img, prompt from user, 1024x1024, 25 steps, cfg 7 - Step 2: Upscale.
create_workflowwithupscale, using the output image from Step 1, 2x upscale - Final output: 2048x2048 upscaled portrait
Product-Shot Recipe
- Step 1: Generate.
create_workflowwithtxt2img, prompt from user (append "product photography, clean white background, studio lighting" to the prompt), 1024x1024, 25 steps, cfg 7 - Step 2: Remove background. If a background removal node is available, create a workflow to remove the background. Otherwise, skip this step and note it for the user.
- Final output: product image (with or without background removal)
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.
- 9d ago First seen · 126 lines · 18 tokens per session scan A a5c957e8af78
recipe is a command published in the GitHub repository artokun/comfyui-mcp (730 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 2,178 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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