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 egocen-vivideo/vivideo-toolchain --skill create-avatar-voice-videogit clone --depth 1 https://github.com/egocen-vivideo/vivideo-toolchainWrote 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/egocen-vivideo/vivideo-toolchain/create-avatar-voice-video)<a href="https://agentmods.dev/skills/egocen-vivideo/vivideo-toolchain/create-avatar-voice-video"><img src="https://agentmods.dev/badge/skills/egocen-vivideo/vivideo-toolchain/create-avatar-voice-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/egocen-vivideo/vivideo-toolchain/create-avatar-voice-video"><img src="https://agentmods.dev/badge/skills/egocen-vivideo/vivideo-toolchain/create-avatar-voice-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 | $0.00039 | $0.00372 |
| Opus 5 | $0.00019 | $0.00186 |
| Sonnet 5 | $0.00008 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
create-avatar-voice-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.
What it actually says
Create a video with a specific avatar and voice
Auto mode can use a chosen avatar (the on-screen presenter) and voice.
Workflow
check_configuration→check_account(premium + credits).- Pick the avatar. Call
list_avatars(optionally withsearchorgender). Each returns anidand whether it'sready. Use areadyavatar'sid.- To create a brand-new avatar from a prompt/photo, that's a separate async flow (
POST /v1/avatars, poll untilready) — only do it if the user asks.
- To create a brand-new avatar from a prompt/photo, that's a separate async flow (
- Pick the voice. Call
list_voices(filter bylanguage/gender/search). Use avoice_id.- Preview a voice first with
POST /v1/voices/speech(CLI/API) if the user is unsure — it returns a short audio sample. Cloning is not available.
- Preview a voice first with
- Create with
create_auto_video:prompt,avatar_id,voice_id(+ optionalorientation,brand_kit_id). - Wait with
wait_for_video; returnvideo_urlwhencompleted.
Rules
- Use ids from the list tools — never invent an
avatar_idorvoice_id. - Avatar and voice are auto-mode parameters; manual mode does not use them.
- For create → wait → result mechanics and errors, follow
generate-video-from-prompt.
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 · 23 lines · 39 tokens per session scan A ef55db7e6f15
create-avatar-voice-video is a skill published in the GitHub repository egocen-vivideo/vivideo-toolchain (0 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 372 once invoked, about $0.0002 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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