comfyui-workflow-analysis

comfyui-workflow-analysis is a skill for Claude Code from sideshowroberto/vfx-agent-toolkit. It costs 57 tokens per session (825 once invoked), scanned A, original, MIT.

Analyzes a downloaded ComfyUI workflow JSON to list required custom nodes and models, install locations and a setup checklist. Use when the user shares a workflow JSON or asks 'what nodes does this need' or 'help me set up this workflow'.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Install with agentmods
npx agentmods add skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis
Install

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.

Any agent
npx skills add sideshowroberto/vfx-agent-toolkit --skill comfyui-workflow-analysis
Clone the repo
git clone --depth 1 https://github.com/sideshowroberto/vfx-agent-toolkit

Made for: Claude Code.

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-workflow-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis/github.svg)](https://agentmods.dev/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis)
Your own site
<a href="https://agentmods.dev/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis"><img src="https://agentmods.dev/badge/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis/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-workflow-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis"><img src="https://agentmods.dev/badge/skills/sideshowroberto/vfx-agent-toolkit/comfyui-workflow-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 825 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 unknown 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 $0.00057 $0.00825
Opus 5.5 $0.00023 $0.00330
Sonnet 5.5 $0.00011 $0.00165
Haiku 4.5 $0.00006 $0.00082

Measured today against content hash 14be8bc48a7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

comfyui-workflow-analysis 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 today.

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.

plugins/comfyui-vfx/skills/comfyui-workflow-analysis/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ComfyUI Workflow Analysis

Reads a workflow JSON and produces a complete setup checklist: custom nodes to install and models to download/place.


When to Use

  • User shares a downloaded workflow JSON file
  • User asks "what custom nodes does this need?"
  • User asks "what models does this workflow use?"
  • User wants to get a new workflow running

Instructions

Step 1 - Read the workflow JSON

Read the file and extract all unique class_type values from the nodes array.

Step 2 - Separate built-in vs custom nodes

Built-in nodes (no install needed) include: KSampler, CLIPTextEncode, VAEDecode, VAEEncode, CheckpointLoaderSimple, LoraLoader, ControlNetLoader, ImageScale, SaveImage, PreviewImage, LoadImage, EmptyLatentImage, LatentUpscale, ConditioningCombine, ConditioningSetArea, CLIPSetLastLayer, UNETLoader, DualCLIPLoader, VAELoader, FluxGuidance, ModelSamplingFlux, BasicGuider, BasicScheduler, SamplerCustomAdvanced, RandomNoise, CFGGuider

Everything else is likely a custom node.

Step 3 - Map custom nodes to repos

Most follow the pattern ComfyUI-RepoName or similar. For each custom node class:

  • Identify the likely repo name from the class prefix/naming
  • Check if it matches any of the user's already-installed nodes in <ComfyUI install>\custom_nodes\
  • Note whether it needs to be installed via ComfyUI Manager

Step 4 - Extract model references

Scan node inputs for model filename references (.safetensors, .ckpt, .pt, .onnx, .bin). Map each to the correct models subfolder:

Filename pattern / node type Destination
Checkpoint (SD, SDXL, Flux) models/checkpoints/
LoRA models/loras/
VAE models/vae/
ControlNet models/controlnet/
Upscaler models/upscale_models/
CLIP / text encoder models/text_encoders/ or models/clip/
UNET / diffusion model models/diffusion_models/ or models/unet/
Embedding models/embeddings/

Read the full file on GitHub · 92 lines

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. today First seen · 92 lines · 57 tokens per session scan A 14be8bc48a7b

Subscribe to this mod's changes

comfyui-workflow-analysis is a skill published in the GitHub repository sideshowroberto/vfx-agent-toolkit (16 stars, last pushed 22d ago), licensed MIT. It adds 57 tokens to every session and 825 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-02.

Related

Other skills, from other repositories

artclaw-tool-executor

An instruction set for running tools from the ArtClaw Tool Manager, an interface for choosing and executing registered tools.

IvanYangYangXi/artclaw_bridge · 39 tokens

scenario-zbrush-expert

Use when an agent drives Maxon ZBrush 2026 for any task (sculpt in ZBrush, DynaMesh, ZRemesher, UVs, export, polypaint, posing, 3D print, clean up an AI mesh in ZBrush), when writing ZBrush Python (zbrush.commands) or ZScript, when the ZBrush bridge is not answering, a palette path or set() does nothing, a scripted…

scenario-labs/skills · 124 tokens

scenario-zbrush-automation

Use when automating ZBrush 2026: batch processing a folder of OBJ or ZTL files, a ZBrush Python script or ZScript, recording a macro to learn a palette path, the ZBrush -script command line, scripting UV Master, Decimation Master or Multi Map Exporter, exporting every SubTool, GoZ or GoB round trips with Maya or…

scenario-labs/skills · 122 tokens

dcc-cua

A routing guide for controlling application interfaces through the project’s DCC-CUA system. DCC applications are digital-content tools such as Maya, Blender, and Houdini.

dcc-mcp/dcc-mcp-core · 131 tokens

mesh-ops

Cross-adapter polygon modeling recipe pack for the shared cross-DCC modeling vocabulary. Structured RECIPES.yaml entries for primitive creation, hard-surface edits, topology cleanup, UV generation, radial arraying, and material assignment. Reusable by every DCC adapter's mesh-ops skill (maya, blender, houdini, 3dsmax…

dcc-mcp/dcc-mcp-core · 85 tokens

marketplace-publish-extension

Infrastructure skill — publish (register/update) an extension package to a marketplace catalog. Reads the extension's SKILL.md frontmatter, constructs a CatalogEntry, and upserts it into the target marketplace.json. Optionally commits and pushes when the catalog source is a git repository. Use after scaffolding an…

dcc-mcp/dcc-mcp-core · 88 tokens