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 autohandai/community-skills --skill ai-video-generationgit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/ai-video-generation)<a href="https://agentmods.dev/skills/autohandai/community-skills/ai-video-generation"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/ai-video-generation/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/autohandai/community-skills/ai-video-generation"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/ai-video-generation.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 | $0.00181 | $0.01545 |
| Opus 5 | $0.00090 | $0.00772 |
| Sonnet 5 | $0.00036 | $0.00309 |
| Haiku 4.5 | $0.00018 | $0.00154 |
Grade A, and why
ai-video-generation 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.
This is a copy
94% identical to ai-video-generation — 19 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Video Generation
Generate videos with 40+ AI models via inference.sh CLI.

Quick Start
Requires inference.sh CLI (
infsh). Get installation instructions:npx skills add inference-sh/skills@agent-tools
infsh login
# Generate a video with Veo
infsh app run google/veo-3-1-fast --input '{"prompt": "drone shot flying over a forest"}'
Available Models
Text-to-Video
| Model | App ID | Best For |
|---|---|---|
| Veo 3.1 Fast | google/veo-3-1-fast |
Fast, with optional audio |
| Veo 3.1 | google/veo-3-1 |
Best quality, frame interpolation |
| Veo 3 | google/veo-3 |
High quality with audio |
| Veo 3 Fast | google/veo-3-fast |
Fast with audio |
| Veo 2 | google/veo-2 |
Realistic videos |
| Grok Video | xai/grok-imagine-video |
xAI, configurable duration |
| Seedance 1.5 Pro | bytedance/seedance-1-5-pro |
With first-frame control |
| Seedance 1.0 Pro | bytedance/seedance-1-0-pro |
Up to 1080p |
Image-to-Video
| Model | App ID | Best For |
|---|---|---|
| Wan 2.5 | falai/wan-2-5 |
Animate any image |
| Wan 2.5 I2V | falai/wan-2-5-i2v |
High quality i2v |
| Seedance Lite | bytedance/seedance-1-0-lite |
Lightweight 720p |
Avatar / Lipsync
| Model | App ID | Best For |
|---|---|---|
| OmniHuman 1.5 | bytedance/omnihuman-1-5 |
Multi-character |
| OmniHuman 1.0 | bytedance/omnihuman-1-0 |
Single character |
| Fabric 1.0 | falai/fabric-1-0 |
Image talks with lipsync |
| PixVerse Lipsync | falai/pixverse-lipsync |
Realistic lipsync |
Utilities
| Tool | App ID | Description |
|---|---|---|
| HunyuanVideo Foley | infsh/hunyuanvideo-foley |
Add sound effects to video |
| Topaz Upscaler | falai/topaz-video-upscaler |
Upscale video quality |
| Media Merger | infsh/media-merger |
Merge videos with transitions |
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 · 178 lines · 181 tokens per session scan A ed232ac67b1c
ai-video-generation is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 181 tokens to every session and 1,545 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to ai-video-generation, differing in 19 lines, and is treated as a copy.
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