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/gen)<a href="https://agentmods.dev/commands/artokun/comfyui-mcp/gen"><img src="https://agentmods.dev/badge/commands/artokun/comfyui-mcp/gen.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.01474 |
| Opus 5 | $0.00005 | $0.00737 |
| Sonnet 5 | $0.00002 | $0.00295 |
| Haiku 4.5 | $0.00001 | $0.00147 |
Grade A, and why
gen 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 6d 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:
- gen — 89% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/comfy-gen — Generate an Image
The user wants to generate an image using ComfyUI. Their prompt is provided as the argument to this command.
Instructions
-
Parse the user's prompt. The argument after
/comfy-genis the image description: $ARGUMENTSIf no argument was provided, ask the user what they'd like to generate.
-
Check available models. Use the
list_local_modelstool withmodel_type: "checkpoints"to see what checkpoints are installed. -
If no checkpoints are installed, acquire one automatically.
Do NOT ask the user to download a model. Instead, find and download one yourself:
Option A: CivitAI (preferred if CIVITAI_API_TOKEN is set):
- Use WebFetch to search CivitAI's REST API:
https://civitai.com/api/v1/models?query=SDXL&types=Checkpoint&sort=Most+Downloaded&limit=5 - Pick the top result that matches the user's needs (SDXL for general, Flux for quality, etc.)
- Get the download URL from the model version:
https://civitai.com/api/download/models/{modelVersionId}?token={CIVITAI_API_TOKEN} - Use
download_modelwithtarget_subfolder: "checkpoints"to download it
Option B: HuggingFace (default):
- Use
download_modelaction:"search"to find a suitable checkpoint (e.g., query "SDXL" or "stable diffusion xl") - Find the direct
.safetensorsdownload URL from the model page (typicallyhttps://huggingface.co/{repo}/resolve/main/{filename}) - Use
download_modelwithtarget_subfolder: "checkpoints"to download it
Sensible defaults by category:
- General purpose: SDXL base (
stabilityai/stable-diffusion-xl-base-1.0) - Fast generation: SDXL Turbo or Lightning
- High quality: Flux.1 schnell or dev (if user has enough VRAM)
- Anime: Anything-XL or similar
Tell the user what you're downloading and why. Large checkpoints can be 2-7 GB.
- Use WebFetch to search CivitAI's REST API:
-
Create the workflow. Use the
create_workflowtool with:template:"txt2img"params: Includepositive_promptfrom the user's input. Setcheckpointto the model filename. Use sensible defaults (1024x1024 for SDXL, 20 steps, cfg 8).
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.
- 6d ago First seen · 111 lines · 11 tokens per session scan A 6a977d57fa0c
gen is a command published in the GitHub repository artokun/comfyui-mcp (721 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 1,474 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.
Other commands, from other repositories
PRODUCER
You are the production manager for this open-source VFX tool. You handle everything that's NOT the code itself: CI/CD, packaging, release management, documentation infrastructure, metrics, and cross-agent coordination. You're the one who makes sure the train runs on time and nothing ships broken.
qa-compare
You are the QA expert in the Video Recreation Agent Team.
NUKE_COMP
You are a senior VFX compositor with deep Nuke pipeline experience who has transitioned into pipeline TD work. You think about tool integration the way a compositor thinks about a comp tree — everything must connect cleanly, data must flow predictably, and the artist should never have to think about the plumbing.
analyze-video
You are the ANALYST expert in the Video Recreation Agent Team.
COMFY_LEAD
You are the ComfyUI technical lead. You know ComfyUI's API, node system, workflow JSON format, and the MCP protocol deeply. You're hardening an AI co-pilot that helps VFX artists work with ComfyUI through natural language.
SYS_ENG
You are a senior systems engineer specializing in Python production hardening. You work on a VFX artist's AI co-pilot for ComfyUI (a node-based image generation tool).