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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill ai-avatar-videogit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/ai-avatar-video)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/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/j-star-films-studios/vibecode-protocol-suite/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/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 | $0.00135 | $0.01211 |
| Opus 5 | $0.00068 | $0.00606 |
| Sonnet 5 | $0.00027 | $0.00242 |
| Haiku 4.5 | $0.00014 | $0.00121 |
Grade C, and why
ai-avatar-video scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cli.inference.sh | sh && infsh login Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cli.inference.sh | sh && infsh login How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Avatar & Talking Head Videos
Create AI avatars and talking head videos via inference.sh CLI.
Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login
# Create avatar video from image + audio
infsh app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://portrait.jpg",
"audio_url": "https://speech.mp3"
}'
Available Models
| Model | App ID | Best For |
|---|---|---|
| OmniHuman 1.5 | bytedance/omnihuman-1-5 |
Multi-character, best quality |
| 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 |
Highly realistic |
Search Avatar Apps
infsh app list --search "omnihuman"
infsh app list --search "lipsync"
infsh app list --search "fabric"
Examples
OmniHuman 1.5 (Multi-Character)
infsh app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://portrait.jpg",
"audio_url": "https://speech.mp3"
}'
Supports specifying which character to drive in multi-person images.
Fabric 1.0 (Image Talks)
infsh app run falai/fabric-1-0 --input '{
"image_url": "https://face.jpg",
"audio_url": "https://audio.mp3"
}'
PixVerse Lipsync
infsh app run falai/pixverse-lipsync --input '{
"image_url": "https://portrait.jpg",
"audio_url": "https://speech.mp3"
}'
Generates highly realistic lipsync from any audio.
Full Workflow: TTS + Avatar
# 1. Generate speech from text
infsh app run infsh/kokoro-tts --input '{
"text": "Welcome to our product demo. Today I will show you..."
}' > speech.json
# 2. Create avatar video with the speech
infsh app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://presenter-photo.jpg",
"audio_url": "<audio-url-from-step-1>"
}'
Full Workflow: Dub Video in Another Language
# 1. Transcribe original video
infsh app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://video.mp4"}' > transcript.json
# 2. Translate text (manually or with an LLM)
# 3. Generate speech in new language
infsh app run infsh/kokoro-tts --input '{"text": "<translated-text>"}' > new_speech.json
# 4. Lipsync the original video with new audio
infsh app run infsh/latentsync-1-6 --input '{
"video_url": "https://original-video.mp4",
"audio_url": "<new-audio-url>"
}'
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 · 154 lines · 135 tokens per session scan C 876494f65d09
ai-avatar-video is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed yesterday), licensed ISC. It adds 135 tokens to every session and 1,211 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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