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 skills add MCKRUZ/ComfyUI-Expert --skill comfyui-video-pipelinegit clone --depth 1 https://github.com/MCKRUZ/ComfyUI-ExpertWrote 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/skills/mckruz/comfyui-expert/comfyui-video-pipeline)<a href="https://agentmods.dev/skills/mckruz/comfyui-expert/comfyui-video-pipeline"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-video-pipeline/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/skills/mckruz/comfyui-expert/comfyui-video-pipeline"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-video-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00057 | $0.01769 |
| Opus 5 | $0.00028 | $0.00885 |
| Sonnet 5 | $0.00011 | $0.00354 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
comfyui-video-pipeline scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"openclaw":{"emoji":"🎬","os":["darwin","linux","win32"],"requires":{"anyBins":["curl","wget"]},"primaryEnv":"COMFYUI_URL"}} How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Video Pipeline
Orchestrates video generation across three engines, selecting the best one based on requirements and available resources.
Engine Selection
VIDEO REQUEST
|
|-- Need film-level quality?
| |-- Yes + 24GB+ VRAM → Wan 2.2 MoE 14B
| |-- Yes + 8GB VRAM → Wan 2.2 1.3B
|
|-- Need long video (>10 seconds)?
| |-- Yes → FramePack (60 seconds on 6GB)
|
|-- Need fast iteration?
| |-- Yes → AnimateDiff Lightning (4-8 steps)
|
|-- Need camera/motion control?
| |-- Yes → AnimateDiff V3 + Motion LoRAs
|
|-- Need first+last frame control?
| |-- Yes → Wan 2.2 MoE (exclusive feature)
|
|-- Default → Wan 2.2 (best general quality)
Pipeline 1: Wan 2.2 MoE (Highest Quality)
Image-to-Video
Prerequisites:
wan2.1_i2v_720p_14b_bf16.safetensorsinmodels/diffusion_models/umt5_xxl_fp8_e4m3fn_scaled.safetensorsinmodels/clip/open_clip_vit_h_14.safetensorsinmodels/clip_vision/wan_2.1_vae.safetensorsinmodels/vae/
Settings:
| Parameter | Value | Notes |
|---|---|---|
| Resolution | 1280x720 (landscape) or 720x1280 (portrait) | Native training resolution |
| Frames | 81 (~5 seconds at 16fps) | Multiples of 4 + 1 |
| Steps | 30-50 | Higher = better quality |
| CFG | 5-7 | |
| Sampler | uni_pc | Recommended for Wan |
| Scheduler | normal |
Frame count guide:
| Duration | Frames (16fps) |
|---|---|
| 1 second | 17 |
| 3 seconds | 49 |
| 5 seconds | 81 |
| 10 seconds | 161 |
VRAM optimization:
- FP8 quantization: halves VRAM with minimal quality loss
- SageAttention: faster attention computation
- Reduce frames if OOM
Text-to-Video
Same as I2V but uses wan2.1_t2v_14b_bf16.safetensors and EmptySD3LatentImage instead of image conditioning.
First+Last Frame Control (Wan 2.2 Exclusive)
Wan 2.2 MoE allows specifying both the first and last frame, enabling precise video planning:
- Generate two hero images with consistent character
- Use first as start frame, second as end frame
- Wan interpolates the motion between them
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.
- 11d ago First seen · 208 lines · 57 tokens per session scan A ae17f8a3a7a9
comfyui-video-pipeline is a skill published in the GitHub repository MCKRUZ/ComfyUI-Expert (91 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 1,769 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
ai-media-generator
A workflow for turning ideas into prompts for AI-generated images, videos, and music across several media platforms. When needed, it can also send those prompts to the chosen platform through browser automation.
Prompt craft for ComfyUI generation
Use when writing prompts for ComfyUI image or video models: choosing tags vs literary format, fixing composition and anatomy artifacts, picking samplers per LoRA, and writing short movement prompts for video. Neutral examples only.
minimax-h3
Write, debug and structure prompts for MiniMax H3 video generation (T2VA, I2VA, FL2VA, L2VA, Ref2VA) and configure its ComfyUI workflow. Use when the user mentions MiniMax H3, minimaxh3, fl2va, ref2va, MiniMaxH3ReferenceToVideo, reference-to-video, asks to animate a photo, write a video prompt, pick a model quant, or…
handoff
Work with Master Canvas AI video handoff packages. Use when a user provides a Master Canvas ZIP or projectmanifest.json and wants Hermes to inspect assets, preserve scene and shot order, prepare ComfyUI/LTX 2.3 jobs, or hand off prompts to Kling, Veo, or another video generation operator. Also use when a user wants…
local-ai-film
A directing workflow for producing AI short films with local or cloud-based models, including atmospheric films, trailers, vlogs, and dialogue-driven stories. It covers creative decisions, avoiding repetitive results, production steps, and final editing.
rhythm-density
A video-editing guide for arranging several short locally generated shots so their pacing alternates between quick, dense sections and slower breathing space.