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 malue-ai/dazee-small --skill remotiongit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/remotion)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/remotion"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/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/malue-ai/dazee-small/remotion"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/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 | $0.00027 | $0.00635 |
| Opus 5 | $0.00014 | $0.00318 |
| Sonnet 5 | $0.00005 | $0.00127 |
| Haiku 4.5 | $0.00003 | $0.00064 |
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 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.
What it actually says
Remotion Skill
使用 Remotion 以 React 组件方式生成视频，适合数据可视化、动态图表、产品演示、教学短视频等场景。
何时使用
- 用户要求「用这些数据生成一个 XX 秒的视频」
- 需要「动态图表视频」「数据可视化视频」「产品演示视频」「教学/口播视频」
- 需要将表格/图表/文案转成带动画的短视频
前置条件
- Node.js（建议 v18+）与 npx
- 用户环境需已安装 Remotion：
npm init video或bun create video创建项目，或现有项目内npm install remotion
工作流程
- 确认环境：在用户项目或工作目录中确认存在 Remotion 项目（含
remotion.config.ts或remotion.config.js及入口如src/Root.tsx）。 - 生成或修改 Composition：根据用户需求编写或修改 React 组件（Composition），可接收
getInputProps()传入的数据（如图表数据、文案）。 - 渲染视频：在项目根目录执行：
npx remotion render <entry-point> <composition-id> <output-path>entry-point：入口文件，如src/index.tsx或src/Root.tsxcomposition-id：在入口中注册的 Composition 的idoutput-path：输出视频路径，如./out/video.mp4
- 传参与时长：需传入动态数据时使用
--props='{"key":"value"}'或--props=./props.json；时长由 Composition 的durationInFrames/fps决定。
使用示例
- 「用这份销售数据生成一个 30 秒的动态柱状图视频」
- 「把这三页产品要点做成一个 15 秒的演示视频」
- 「根据 CSV 生成趋势变化的折线图视频」
输出
- 默认输出为 MP4（H.264）；可用
--codec指定其他编码。 - 输出路径由用户指定或放在项目
out/目录。
限制
- 需用户本机已具备 Remotion 项目或同意新建项目；无 Remotion 时需先引导
npm init video。 - 复杂动画与长视频渲染耗时较长，可提示用户或使用
--concurrency调整并行度。
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 · 52 lines · 27 tokens per session scan A 04a4bb57390e
remotion is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 635 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 2026-09-03.
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