echook-promo-video: Skill for Claude Code

.agent/skills/remotion-best-practices/SKILL.md

remotion-best-practices is a skill for Claude Code, Codex from ChanMeng666/echook-promo-video. It costs 17 tokens per session (999 once invoked), scanned A, a copy of remotion-best-practices, MIT.

A set of instructions for creating videos with Remotion, a React framework that renders video from code. It covers topics such as animation, captions, audio, assets, charts, and 3D scenes.

In plain words
What is it for?
Building or editing Remotion videos, including subtitles, sound, visual assets, audio visualizations, charts, and Three.js 3D content.
Why use it?
It gives an AI coding agent the project-specific guidance needed for common Remotion video tasks.

Skill for Claude CodeCodex

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

This is ChanMeng666/echook-promo-video's own configuration. It tells Claude Code and Codex how to work on echook-promo-video itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything echook-promo-video configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ChanMeng666/echook-promo-video. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ChanMeng666/echook-promo-video/main/.agent/skills/remotion-best-practices/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ChanMeng666/echook-promo-video

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/chanmeng666/echook-promo-video/remotion-best-practices/github.svg)](https://agentmods.dev/skills/chanmeng666/echook-promo-video/remotion-best-practices)
Your own site
<a href="https://agentmods.dev/skills/chanmeng666/echook-promo-video/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/chanmeng666/echook-promo-video/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/chanmeng666/echook-promo-video/remotion-best-practices"><img src="https://agentmods.dev/badge/skills/chanmeng666/echook-promo-video/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 999 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 84% 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 $0.00999
Opus 5 $0.00009 $0.00500
Sonnet 5 $0.00003 $0.00200
Haiku 4.5 $0.00002 $0.00100

Measured 12d ago against content hash af627225edda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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

84% identical to remotion-best-practices — 11 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.

.agent/skills/remotion-best-practices/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 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.

Using FFmpeg

For some video operations, such as trimming videos or detecting silence, FFmpeg should be used. Load the ./rules/ffmpeg.md file for more information.

Audio visualization

When needing to visualize audio (spectrum bars, waveforms, bass-reactive effects), load the ./rules/audio-visualization.md file for more information.

How to use

Read individual rule files for detailed explanations and code examples:

Read the full file on GitHub · 58 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. 12d ago First seen · 58 lines · 17 tokens per session scan A af627225edda

Subscribe to this mod's changes

remotion-best-practices is a skill published in the GitHub repository ChanMeng666/echook-promo-video (2 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 999 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to remotion-best-practices, differing in 11 lines, and is treated as a copy.

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