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 runcomfy-com/skills --skill image-outpaintinggit clone --depth 1 https://github.com/runcomfy-com/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/runcomfy-com/skills/image-outpainting)<a href="https://agentmods.dev/skills/runcomfy-com/skills/image-outpainting"><img src="https://agentmods.dev/badge/skills/runcomfy-com/skills/image-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/runcomfy-com/skills/image-outpainting"><img src="https://agentmods.dev/badge/skills/runcomfy-com/skills/image-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 | $0.00196 | $0.02841 |
| Opus 5 | $0.00098 | $0.01421 |
| Sonnet 5 | $0.00039 | $0.00568 |
| Haiku 4.5 | $0.00020 | $0.00284 |
Grade A, and why
image-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 10d 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.
This is a copy
100% identical to image-outpainting — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Outpainting
Extend a still beyond its original canvas — uncrop, change aspect ratio, fill in what the camera didn't capture. This skill routes across the identity-preserving edit endpoints in the RunComfy catalog, picking the right one for prose-driven extension, reference-style matching, or brand-locked continuation.
runcomfy.com · best-image-editing-models · 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. Outpaint
runcomfy run google/nano-banana-2/edit \
--input '{"prompt": "...extend canvas...", "image_urls": ["..."]}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
Pick the right model
Listed by suitability for outpainting workflows.
Nano Banana 2 Edit — google/nano-banana-2/edit (default for prompt-shaped outpaint)
Identity-preserving edit; honors spatial language ("extend the canvas to the left and right by ~30%", "add sky above the building"). The result is a wider canvas with the original content preserved. Pick for: aspect-ratio change (square → 16:9), uncrop a portrait, extend a landscape photo with matching environment. Avoid for: pixel-precise extension matching texture seams — use a ComfyUI outpainting workflow.
GPT Image 2 Edit — openai/gpt-image-2/edit
Up to 10 reference images, layout-precise instruction following. Useful when outpainting needs to match a reference style or includes layout repositioning. Pick for: composite outpaint (extend canvas + paste in element from another image), layout repositioning during the canvas change. Avoid for: simple outpaint without external references.
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.
- 10d ago First seen · 194 lines · 196 tokens per session scan A f1507fa330c2
image-outpainting is a skill published in the GitHub repository runcomfy-com/skills (12 stars, last pushed 2d ago), licensed MIT. It adds 196 tokens to every session and 2,841 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to image-outpainting, differing in 0 lines, and is treated as a copy.
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