comfyui-export

comfyui-export is a skill for Claude Code from danielrosehill/Claude-AI-Video-Producer-Plugin. It costs 112 tokens per session (890 once invoked), scanned A, original, MIT.

A converter that turns an AI video pipeline into a ComfyUI workflow JSON file. ComfyUI is a visual tool for connecting local AI models and processing steps.

In plain words
What is it for?
Use it to export text-to-image, image-to-video, upscaling, frame interpolation, ControlNet, and LoRA stages into a workflow you can load in ComfyUI.
Why use it?
It helps reproduce or approximate a pipeline that originally used hosted services on a local ComfyUI setup. It also identifies stages or models that cannot be mapped exactly.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ai-video-producer plugin — 11 skills, 11 commands, 7 agents, 3 MCP servers shipped together

Good fit Use it to export text-to-image, image-to-video, upscaling, frame interpolation, ControlNet, and LoRA stages into a workflow you can load in ComfyUI.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export
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 danielrosehill/Claude-AI-Video-Producer-Plugin --skill comfyui-export
Clone the repo
git clone --depth 1 https://github.com/danielrosehill/Claude-AI-Video-Producer-Plugin

Made for: Claude Code.

Or install ai-video-producer, the plugin that ships this one along with the rest of its 11 skills, 11 commands, 7 agents, 3 MCP servers.

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-export

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export/github.svg)](https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export)
Your own site
<a href="https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export/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-export

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-ai-video-producer-plugin/comfyui-export.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 890 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 $0.00112 $0.00890
Opus 5 $0.00056 $0.00445
Sonnet 5 $0.00022 $0.00178
Haiku 4.5 $0.00011 $0.00089

Measured 12d ago against content hash 072d017ed6c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

comfyui-export 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 12d 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.

skills/comfyui-export/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline → ComfyUI export

Inputs

  • A pipeline directory pipelines/<name>/ with a complete SPEC.md and stage files.
  • Target ComfyUI version assumption (default: current — flag if user hasn't updated recently).
  • Optional: a checkpoint catalogue (pipelines/_shared/checkpoints.md or similar) so you can pick from models the user already has locally.

Mapping

Pipeline stage ComfyUI nodes
Text-to-image (Flux) UNETLoader (flux), DualCLIPLoader, CLIPTextEncode ×2, KSampler, VAEDecode, SaveImage
Text-to-image (SDXL) CheckpointLoaderSimple, CLIPTextEncode ×2, KSampler, VAEDecode, SaveImage
Image-to-video (SVD) ImageOnlyCheckpointLoader, SVD_img2vid_Conditioning, KSampler, VAEDecode, VHS_VideoCombine
Image-to-video (Wan / Hunyuan) corresponding loader + sampler + VHS combine
Upscale (Real-ESRGAN, 4x-UltraSharp) UpscaleModelLoader, ImageUpscaleWithModel
Frame interpolation (RIFE / FILM) RIFE VFI from ComfyUI-Frame-Interpolation
ControlNet ControlNetLoader, ControlNetApply
LoRA LoraLoader chained before sampler

For stages that have no native equivalent (most lip-sync APIs, Runway Gen-3, Kling, Hailuo, Sora, Veo, ElevenLabs) — emit a placeholder Note node with the original API call documented, and tell the user this stage will still need to run via API even after the local move.

Steps

  1. Read SPEC.md and each stages/NN-*.md.
  2. For each stage, look up the mapping. Use the local checkpoint catalogue if provided to pin specific filenames; otherwise emit <choose checkpoint> placeholders the user must fill.
  3. Build the workflow as API-format JSON (flat {node_id: {class_type, inputs}}). Sequential numeric IDs starting from 1. Wire inputs references as [source_id, output_index] pairs.
  4. Set sampler params from the stage definitions (steps, cfg, sampler_name, scheduler, seed). Default seed: -1 (random) unless the stage specifies a fixed seed.
  5. Write outputs:
    • pipelines/<name>/comfy/workflow-export.json — the API-format workflow.
    • pipelines/<name>/comfy/manifest-export.md — checkpoints, LoRAs, custom nodes the user needs (with ComfyUI-Manager install names where possible).
    • Update SPEC.md with a "Local execution" section pointing at the export.

Read the full file on GitHub · 46 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. 12d ago First seen · 46 lines · 0 tokens per session scan A 072d017ed6c0

Subscribe to this mod's changes

comfyui-export is a skill published in the GitHub repository danielrosehill/Claude-AI-Video-Producer-Plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 112 tokens to every session and 890 once invoked, about $0.0006 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 2026-08-31.

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