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-productiongit 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-production)<a href="https://agentmods.dev/skills/mckruz/comfyui-expert/comfyui-video-production"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-video-production/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-production"><img src="https://agentmods.dev/badge/skills/mckruz/comfyui-expert/comfyui-video-production.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00153 | $0.04034 |
| Opus 5 | $0.00077 | $0.02017 |
| Sonnet 5 | $0.00031 | $0.00807 |
| Haiku 4.5 | $0.00015 | $0.00403 |
Grade A, and why
comfyui-video-production 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 540 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ComfyUI Video Production Pipeline
End-to-end video production orchestration for ComfyUI with automatic error recovery, quality validation, and instance management.
Quick Start: Which Pipeline?
Creating a multi-shot narrative video? → Keyframe Pipeline - Generate keyframes → Animate → Stitch with transitions
Animating existing images? → I2V Batch Pipeline - Load images → Queue I2V jobs → Auto-validate → Combine
Need smooth transitions between scenes? → Transition Pipeline - Crossfades, motion blur, zoom effects via FFmpeg
ComfyUI stuck or crashed? → Instance Manager - Auto-restart, health checks, queue monitoring
Debugging video issues? → Validation Suite - Check resolution, FPS, codec, face consistency, color grading
Core Pipelines
Pipeline 1: Keyframe-to-Video (Complete Narrative)
Use when: Creating story-driven videos with multiple distinct shots
1. Keyframe Generation Phase
- Generate consistent keyframes with IP-Adapter/LoRA
- Validate face consistency, lighting, pose progression
- Save to organized directory structure
- Auto-retry failed generations
2. I2V Animation Phase
- Queue each keyframe to I2V model (Wan 2.2, LTX-2, AnimateDiff)
- Monitor progress via ComfyUI API
- Validate each clip (resolution, fps, duration)
- Auto-retry with different seeds if failed
3. Concatenation Phase
- Pre-flight validation (ensure all clips match)
- Apply transition effects (crossfade, motion blur)
- FFmpeg encoding with proper codec
- Export final video with metadata
4. Quality Assurance
- Face consistency check across clips
- Color grading consistency
- Audio sync validation (if applicable)
- Generate QA report
Expected output: Single cohesive video with smooth transitions
Pipeline 2: Batch I2V Processing
Use when: You have multiple images to animate independently
1. Image Discovery
- Scan directory for source images
- Validate image specs (resolution, format)
- Generate processing manifest
2. Parallel I2V Queue
- Queue all images to ComfyUI with appropriate prompts
- Stagger submissions to avoid overload
- Monitor queue depth and ETA
3. Progressive Validation
- Check each completed video immediately
- Flag issues (wrong resolution, fps, corruption)
- Auto-retry flagged videos
4. Export & Organize
- Move validated videos to output directory
- Generate index with metadata
- Create contact sheet (thumbnail preview grid)
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- eval/benchmark.yaml 1.3 KB
- eval/EVAL.md 2.1 KB
- eval/results/.gitignore 83 B
- eval/results/.gitkeep 0 B
- eval/run-eval.sh 18 KB runs code
- eval/test-cases.yaml 7.4 KB
- eval/trigger-tests.yaml 1.8 KB
- references/api-reference.md 12 KB
- references/concatenation.md 13 KB
- references/evolution.md 8.9 KB
- references/instance-management.md 15 KB
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 · 540 lines · 153 tokens per session scan A 850c89af061d
comfyui-video-production is a skill published in the GitHub repository MCKRUZ/ComfyUI-Expert (91 stars, last pushed 5mo ago), licensed MIT. It adds 153 tokens to every session and 4,034 once invoked, about $0.0008 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 skills, from other repositories
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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.