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 calesthio/generative-media-skills --skill synthesia-avatar-videogit clone --depth 1 https://github.com/calesthio/generative-media-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/calesthio/generative-media-skills/synthesia-avatar-video)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/synthesia-avatar-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/synthesia-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/calesthio/generative-media-skills/synthesia-avatar-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/synthesia-avatar-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 37 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00073 | $0.05403 |
| Opus 5 | $0.00036 | $0.02701 |
| Sonnet 5 | $0.00015 | $0.01081 |
| Haiku 4.5 | $0.00007 | $0.00540 |
Grade A, and why
synthesia-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 9d 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesia avatar video production
Use Synthesia when the job is a business, training, product, sales, onboarding, knowledge-base, or localized presenter video where a controlled avatar performance, brand consistency, and scalable variants matter more than cinematic freeform motion. Treat Synthesia as a synthetic presenter studio and templated video automation system, not as a general text-to-video model.
Facts in this skill were verified against official Synthesia documentation, API reference, pricing, and policy pages on 2026-07-10. Re-check volatile items before committing money or a production launch: plan access, quotas, supported languages, avatar IDs, voice IDs, endpoint schemas, template variables, processing times, pricing, and policy text.
Route the work
Use this skill for:
- Synthesia Studio videos made manually from scenes, scripts, templates, avatars, brand kits, media, captions, and translations.
- Synthesia API videos from scratch through
POST /v2/videos. - Synthesia API videos from published templates through
POST /v2/videos/fromTemplate. - Personalized batches where variables drive names, roles, product details, CTAs, languages, or avatar choices.
- Custom avatar, Personal Avatar, Studio Avatar, stock avatar, and voice/likeness consent decisions.
- QA for lip sync, script pacing, pronunciation, avatar framing, identity disclosure, localization, download custody, and policy fit.
Do not use Synthesia as the primary tool when the user needs:
- multi-shot cinematic generative video, camera moves, physics, or photoreal B-roll generated from prompts;
- face-swap or lip-sync onto arbitrary footage outside Synthesia's supported avatar system;
- an avatar of a real person without documented consent;
- political/current-events persuasion, deceptive impersonation, sensitive identity claims, or paid social ads with stock avatars unless policy and written consent requirements are satisfied.
Source-backed operating facts
Label facts separately from heuristics in your production notes.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 425 lines · 73 tokens per session scan A bef78c48393b
synthesia-avatar-video is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 5,403 once invoked, about $0.0004 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 2026-09-03.
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