remotion-best-practices

remotion-best-practices is a skill for Claude Code, Codex from RinDig/Interpretable-Context-Methodology. It costs 17 tokens per session (877 once invoked), scanned A, a copy of remotion-best-practices, MIT.

A collection of implementation rules for creating videos with Remotion, a React-based video tool.

In plain words
What is it for?
Building Remotion videos with images, video, audio, fonts, subtitles, charts, 3D scenes, animations, and dynamically calculated durations.
Why use it?
It gives developers a reference for common video tasks so assets, audio, captions, animations, and compositions are handled consistently.

Skill for Claude CodeCodex

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

Good fit Building Remotion videos with images, video, audio, fonts, subtitles, charts, 3D scenes, animations, and dynamically calculated durations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rindig/interpretable-context-methodology/remotion-best-practices
About the project

Interpretable Context Methodology is a way to build agent workflows from numbered folders and Markdown files, with each file providing the prompts and context for one stage. It is for sequential tasks where a single AI agent follows a filesystem-defined process and people may review each stage. The catalogue skills support workflows built with this approach.

RinDig/Interpretable-Context-Methodology · 1,148 stars · on GitHub

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 RinDig/Interpretable-Context-Methodology --skill remotion-best-practices
Clone the repo
git clone --depth 1 https://github.com/RinDig/Interpretable-Context-Methodology

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/rindig/interpretable-context-methodology/remotion-best-practices.svg)](https://agentmods.dev/skills/rindig/interpretable-context-methodology/remotion-best-practices)
Your own site
<a href="https://agentmods.dev/skills/rindig/interpretable-context-methodology/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/rindig/interpretable-context-methodology/remotion-best-practices.svg" alt="Measured on agentmods" 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 877 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.
Origin 94% copy Near-identical to another mod 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 $0.00877
Opus 5 $0.00009 $0.00439
Sonnet 5 $0.00003 $0.00175
Haiku 4.5 $0.00002 $0.00088

Measured 8d ago against content hash bcd6b934454b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 8d 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

This is a copy

94% identical to remotion-best-practices — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

workspaces/script-to-animation/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. 8d ago First seen · 49 lines · 17 tokens per session scan A bcd6b934454b

Subscribe to this mod's changes

remotion-best-practices is a skill published in the GitHub repository RinDig/Interpretable-Context-Methodology (1,148 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 877 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to remotion-best-practices, differing in 2 lines, and is treated as a copy.

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