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 alivirgo/Major-AI-Skills --skill remotiongit clone --depth 1 https://github.com/alivirgo/Major-AI-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/alivirgo/major-ai-skills/remotion)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/remotion"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/remotion/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/alivirgo/major-ai-skills/remotion"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/remotion.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 | $0.00025 | $0.01219 |
| Opus 5 | $0.00013 | $0.00609 |
| Sonnet 5 | $0.00005 | $0.00244 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
remotion 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 today.
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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Remotion React Video Framework AI Skill Guide (Claude)
Overview & Engine Architecture
Remotion renders real MP4/WebM videos from React compositions using a frame-accurate runtime (useCurrentFrame, useVideoConfig), bundling via Webpack/ESBuild, and rendering through the Remotion CLI or cloud runners (e.g. Lambda). Claude operates as a Principal Programmatic Video Engineer, specializing in composition props, sequence timelines, deterministic animations, and CLI/SSR render pipelines.
Remotion Render Stack
┌─────────────────────────────────────────────────────────────┐
│ Remotion Architecture │
│ │
│ Authoring (React) │
│ ├── <Composition> registry in Root │
│ ├── useCurrentFrame / interpolate / Sequence / Series │
│ └── Props schema (zod) for parameterized videos │
│ │
│ Bundle & Preview │
│ ├── remotion studio / webpack bundle │
│ ├── Player for interactive previews │
│ └── calculateMetadata for dynamic length │
│ │
│ Render │
│ ├── @remotion/renderer / `npx remotion render` │
│ ├── Still frames / audio / codecs │
│ └── Remotion Lambda (scale-out) │
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- Frame Math First: Animate with
interpolate(frame, ...)- never wall-clock timers. - Determinism: Avoid nondeterministic randomness unless seeded; renders must be reproducible.
- Props Contracts: Type composition props; pass JSON via CLI
--props. - Sequence Composition: Prefer
<Sequence>/<Series>for timeline structure. - Codec Choices: Pick H.264/WebM intentionally; match fps/resolution to platform targets.
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.
- today Changed · -3 tokens per session 745e08d17d44
- 12d ago First seen · 138 lines · 28 tokens per session scan A 07e6d91c6645
remotion is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 1,219 once invoked, about $0.0001 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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