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 prime-skills/runcomfy-agent-skills --skill video-outpaintinggit clone --depth 1 https://github.com/prime-skills/runcomfy-agent-skillsWrote 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/prime-skills/runcomfy-agent-skills/video-outpainting)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/video-outpainting"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/video-outpainting/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/prime-skills/runcomfy-agent-skills/video-outpainting"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/video-outpainting.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 | $0.00162 | $0.02300 |
| Opus 5 | $0.00081 | $0.01150 |
| Sonnet 5 | $0.00032 | $0.00460 |
| Haiku 4.5 | $0.00016 | $0.00230 |
Grade A, and why
video-outpainting 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- video-outpainting — 100% identical, 0 lines differ
- video-outpainting — 100% identical, 0 lines differ
- video-outpainting — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Outpainting
Extend a video's spatial canvas — uncrop vertically or horizontally, change aspect ratio while preserving the central action. This skill routes spatial extension through Wan 2-7 edit-video for prompt-shaped canvas changes, and points the agent at dedicated ComfyUI outpaint workflows when hero-grade seam quality matters.
runcomfy.com · Wan 2-7 edit-video · CLI docs
Powered by the RunComfy CLI
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli # or: npx -y @runcomfy/cli --version
# 2. Sign in
runcomfy login # or in CI: export RUNCOMFY_TOKEN=<token>
# 3. Spatially extend a video (closest CLI-reachable approach)
runcomfy run wan-ai/wan-2-7/edit-video \
--input '{"video_url": "...", "prompt": "...extend canvas..."}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
Pick the right model
Wan 2-7 Edit-Video — wan-ai/wan-2-7/edit-video (default)
Prompt-driven video edit; accepts spatial extension language ("extend the canvas to 16:9 by adding matching environment on the left and right"). Wide enough quality for social and most internal uses. Pick for: aspect-ratio swap (vertical ↔ horizontal), social-cuts, uncrop where seam quality is acceptable. Avoid for: hero ad delivery with strict seam-quality requirements — use a ComfyUI outpainting workflow.
For broader video edit see video-edit.
Route 1: Wan 2-7 Edit-Video — closest CLI path
Model: wan-ai/wan-2-7/edit-video
Catalog: Wan 2-7 edit-video
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.
- 12d ago First seen · 164 lines · 162 tokens per session scan A 8bfbb99d1043
video-outpainting is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 4mo ago), licensed MIT. It adds 162 tokens to every session and 2,300 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.
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