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 ai-avatar-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/ai-avatar-video)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/ai-avatar-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/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/ai-avatar-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 | $0.00101 | $0.02722 |
| Opus 5 | $0.00051 | $0.01361 |
| Sonnet 5 | $0.00020 | $0.00544 |
| Haiku 4.5 | $0.00010 | $0.00272 |
Grade A, and why
ai-avatar-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 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Install the belt CLI skill:
npx skills add belt-sh/cli
AI Avatar & Talking Head Videos
Create AI avatars and talking head videos via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS)
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Hello, welcome to our product demo!",
"voice": "Zephyr (Female)"
}'
Available Models
Start with P-Video-Avatar — it's 18x faster and 6x cheaper than alternatives, with built-in TTS, dynamic backgrounds, and 1080p support.
| Model | App ID | Best For | Built-in TTS |
|---|---|---|---|
| P-Video-Avatar | pruna/p-video-avatar |
Best overall: speed, cost, quality, control | Yes (30 voices, 10 languages) |
| OmniHuman 1.5 | bytedance/omnihuman-1-5 |
Multi-character, audio-driven | No |
| Fabric 1.0 | falai/fabric-1-0 |
Image talks with lipsync | Yes |
| PixVerse Lipsync | falai/pixverse-lipsync |
Highly realistic lipsync | No |
Cost & Speed Comparison
| Model | Speed (per sec of video) | Cost per second |
|---|---|---|
| P-Video-Avatar | ~1.83s/s | $0.025 |
| OmniHuman 1.5 | ~28s/s (15x slower) | $0.16 (6.4x more) |
| Fabric 1.0 | ~34s/s (18x slower) | $0.14 (5.6x more) |
Examples
P-Video-Avatar (Recommended)
Generate avatar from portrait + text script with built-in TTS:
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Welcome to our product walkthrough. Today I will show you three key features.",
"voice": "Puck (Male)",
"voice_language": "English (US)",
"resolution": "720p"
}'
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 · 272 lines · 101 tokens per session scan A adc9ab94c62c
ai-avatar-video is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 2,722 once invoked, about $0.0005 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 2026-08-31.
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