Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/artokun/comfyui-mcp/gallerygit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote 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/gallery)<a href="https://agentmods.dev/commands/artokun/comfyui-mcp/gallery"><img src="https://agentmods.dev/badge/commands/artokun/comfyui-mcp/gallery.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 | $0.00008 | $0.00702 |
| Opus 5 | $0.00004 | $0.00351 |
| Sonnet 5 | $0.00002 | $0.00140 |
| Haiku 4.5 | $0.00001 | $0.00070 |
Grade A, and why
gallery 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:
- gallery — 86% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/comfy-gallery — Browse Generated Outputs
The user wants to browse images that ComfyUI has generated, inspect their metadata, and optionally re-run or modify workflows.
Instructions
-
Determine the output directory. Call
get_system_statsto check for a custom--output-directoryargument. If not set, use the default ComfyUI output directory (typically~/Documents/ComfyUI/output/or theoutput/folder relative to the ComfyUI installation). -
List image files. Use the Glob tool to find image files in the output directory:
- Pattern:
**/*.png(ComfyUI saves as PNG by default) - Also check for
**/*.jpg,**/*.webpif needed - Sort by modification time, newest first
- Pattern:
-
Apply filters. The argument is: $ARGUMENTS
Parse the filter:
last NorN: show only the N most recent imagestoday: images created today (compare file dates)yesterday: images from yesterday- Filename pattern: glob match against filenames (e.g.,
ComfyUI_00123*) - No filter: default to showing the last 10 images
-
Present image details. For each image, show:
- Filename
- File size (human-readable, KB/MB)
- Creation/modification date and time
- Use the Read tool to display the image thumbnail if the file is a supported image format
-
Extract workflow metadata. When the user selects an image or asks for details:
- Use
get_workflow (action:"from_image")to extract the embedded workflow JSON from the PNG metadata - Show key parameters: checkpoint used, prompt, negative prompt, seed, steps, CFG, sampler, dimensions
- Offer to visualize the workflow with
visualize_workflow
- Use
-
Offer actions. For any selected image, offer to:
- Re-run: execute the same workflow again (new seed for variation)
- Modify and re-run: let the user change parameters (prompt, seed, steps, etc.) and run a modified version
- Upscale: create an upscale workflow using the image as input
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 · 62 lines · 8 tokens per session scan A eea08d9c20ca
gallery is a command published in the GitHub repository artokun/comfyui-mcp (721 stars, last pushed yesterday), licensed MIT. It adds 8 tokens to every session and 702 once invoked, about $0.0000 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).