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 sutchan/Agent-Skills-Hub --skill image-to-videogit clone --depth 1 https://github.com/sutchan/Agent-Skills-HubWrote 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/sutchan/agent-skills-hub/image-to-video)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/image-to-video"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/image-to-video/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/sutchan/agent-skills-hub/image-to-video"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/image-to-video.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 | $0.00190 | $0.03378 |
| Opus 5 | $0.00095 | $0.01689 |
| Sonnet 5 | $0.00038 | $0.00676 |
| Haiku 4.5 | $0.00019 | $0.00338 |
Grade A, and why
image-to-video 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 2d 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
98% identical to image-to-video — 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image-to-Video — Pro Pack on RunComfy
runcomfy.com · HappyHorse I2V · Wan 2.7 · Seedance 2.0 Pro · GitHub
Image-to-video, intent-routed. This skill doesn't lock you to one model — it picks the right i2v model in the RunComfy catalog based on what the user actually wants: portrait animation, custom-voiceover lip-sync, or multi-modal composition.
npx skills add agentspace-so/runcomfy-skills --skill image-to-video -g
Pick the right model for the user's intent
| User intent | Model | Why |
|---|---|---|
| Animate a portrait — keep identity stable | HappyHorse 1.0 I2V | #1 on Artificial Analysis Arena (Elo 1392); strong facial fidelity |
| Product reveal / 360 / macro motion | HappyHorse 1.0 I2V | Geometry preservation + smooth camera moves |
| Native synchronized ambient audio in one pass | HappyHorse 1.0 I2V | In-pass audio synthesis |
| Animate and lip-sync to a custom voiceover track | Wan 2.7 + audio_url |
Accepts your own MP3/WAV (3–30s, ≤15MB) and drives lip-sync to it |
| Multi-language dub variants (same image, different audio per call) | Wan 2.7 + audio_url |
Same shot, swap audio_url per language |
| Multi-modal — image + reference video + reference audio together | Seedance 2.0 Pro | Up to 9 image refs, 3 video refs (2–15s each), 3 audio refs |
| Brand-consistent narrative with character ref + scene ref + voice ref | Seedance 2.0 Pro | Image holds identity, video holds scene, audio holds voice |
| Default if unspecified | HappyHorse 1.0 I2V | Best all-round quality + native audio |
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.
- 2d ago Changed · +8 lines · +82 tokens per session 7a97ff688209
- 8d ago First seen · 198 lines · 108 tokens per session scan A c112e3d7d67d
image-to-video is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed yesterday), licensed MIT. It adds 190 tokens to every session and 3,378 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to image-to-video, differing in 0 lines, and is treated as a copy.
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