remotion-best-practices

remotion-best-practices is a skill for Claude Code, Codex from vercel-labs/json-render. It costs 17 tokens per session (868 once invoked), scanned A, original, Apache-2.0.

A collection of guidance for Remotion, a React framework for creating videos with code. It covers topics such as animation, captions, audio, fonts, charts, and video composition setup.

In plain words
What is it for?
Creating or editing Remotion projects, including animated scenes, subtitles, audio, images, 3D content, charts, and video metadata.
Why use it?
It helps developers follow the project’s recommended approach when building Remotion videos. The guidance points to specific rules for different video tasks.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Creating or editing Remotion projects, including animated scenes, subtitles, audio, images, 3D content, charts, and video metadata.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vercel-labs/json-render/remotion-best-practices
About the project

json-render is a framework where AI produces user interfaces as structured JSON constrained by a developer-defined component catalogue. It is for building dynamic interfaces from natural-language prompts across web and mobile frameworks.

vercel-labs/json-render · 18,783 stars · on GitHub · json-render.dev

Install

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.

Any agent
npx skills add vercel-labs/json-render --skill remotion-best-practices
Clone the repo
git clone --depth 1 https://github.com/vercel-labs/json-render

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for remotion-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/vercel-labs/json-render/remotion-best-practices/github.svg)](https://agentmods.dev/skills/vercel-labs/json-render/remotion-best-practices)
Your own site
<a href="https://agentmods.dev/skills/vercel-labs/json-render/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/vercel-labs/json-render/remotion-best-practices/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.

agentmods 80×15 button for remotion-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/vercel-labs/json-render/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/vercel-labs/json-render/remotion-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Sept 2026
  • Snyk warn 14 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00868
Opus 5.5 $0.00007 $0.00347
Sonnet 5.5 $0.00003 $0.00174
Haiku 4.5 $0.00002 $0.00087

Measured 1mo ago against content hash a76a94cc9ad7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

remotion-best-practices 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 1mo 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

skills/remotion-best-practices/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to use

Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

Captions

When dealing with captions or subtitles, load the ./rules/subtitles.md file for more information.

How to use

Read individual rule files for detailed explanations and code examples:

Read the full file on GitHub · 49 lines

Changes

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.

  1. 1mo ago First seen · 49 lines · 17 tokens per session scan A a76a94cc9ad7

Subscribe to this mod's changes

remotion-best-practices is a skill published in the GitHub repository vercel-labs/json-render (18,783 stars, last pushed yesterday), licensed Apache-2.0. It adds 17 tokens to every session and 868 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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