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 ai-avatar-videogit 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/ai-avatar-video)<a href="https://agentmods.dev/skills/runcomfy-com/skills/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/runcomfy-com/skills/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/runcomfy-com/skills/ai-avatar-video"><img src="https://agentmods.dev/badge/skills/runcomfy-com/skills/ai-avatar-video.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 | $0.00238 | $0.04265 |
| Opus 5 | $0.00119 | $0.02132 |
| Sonnet 5 | $0.00048 | $0.00853 |
| Haiku 4.5 | $0.00024 | $0.00426 |
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 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 ai-avatar-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 — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Avatar & Talking Head Video
Put words in a face. This skill routes across RunComfy's audio-driven avatar models — OmniHuman, Wan 2-7 with audio_url, HappyHorse, Seedance v2 — picking the right path for the user's intent and shipping the documented prompts + the exact runcomfy run invoke for each.
runcomfy.com · Lip-sync feature · 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. Generate an avatar video
runcomfy run <vendor>/<model>/<endpoint> \
--input '{"prompt": "...", "audio_url": "https://...", "image_url": "https://..."}' \
--output-dir ./out
CLI deep dive: runcomfy-cli skill.
Install this skill
npx skills add agentspace-so/runcomfy-agent-skills --skill ai-avatar-video -g
Pick the right model for the user's intent
Listed newest first. The agent classifies user intent — pre-recorded audio file or just a script? Photoreal portrait or stylized character? Single shot or cinematic composition? — and picks one route below.
OmniHuman — bytedance/omnihuman/api (default)
ByteDance audio-driven full-body avatar. Feed one portrait + one audio file, get back a video where the subject speaks / sings / gestures naturally. Listed on RunComfy's
/feature/lip-syncas the curated default. Pick for: UGC voiceover, virtual presenter, dubbed product demo, multi-language clips from same portrait. Avoid for: no audio file available (need to generate speech from a script) — use HappyHorse 1.0.
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 · 303 lines · 238 tokens per session scan A 8b6bf8839927
ai-avatar-video is a skill published in the GitHub repository runcomfy-com/skills (12 stars, last pushed 3d ago), licensed MIT. It adds 238 tokens to every session and 4,265 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-avatar-video, differing in 0 lines, and is treated as a copy.
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