remotion-scene-anatomy

remotion-scene-anatomy is a skill for Claude Code, Codex from RinDig/Interpretable-Context-Methodology. It costs 42 tokens per session (936 once invoked), scanned A, original, MIT.

A set of conventions for making narrated Remotion videos, where Remotion is a React-based tool for rendering video.

In plain words
What is it for?
Structuring timing files, scene sequences, audio-driven animations, gap filling, and end cards containing a logo lockup and website address.
Why use it?
It keeps scene timing aligned with the narration, fills gaps between scenes, and applies a consistent end-card layout.

Skill for Claude CodeCodex

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

Good fit Structuring timing files, scene sequences, audio-driven animations, gap filling, and end cards containing a logo lockup and website address.

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Install with agentmods
npx agentmods add skills/rindig/interpretable-context-methodology/remotion-scene-anatomy
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 · 1,151 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-scene-anatomy
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-scene-anatomy

README.md
[![agentmods](https://agentmods.dev/badge/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy/github.svg)](https://agentmods.dev/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy)
Your own site
<a href="https://agentmods.dev/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy"><img src="https://agentmods.dev/badge/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy/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-scene-anatomy

Your own site · 80×15
<a href="https://agentmods.dev/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy"><img src="https://agentmods.dev/badge/skills/rindig/interpretable-context-methodology/remotion-scene-anatomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 936 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
  • 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 $0.00042 $0.00936
Opus 5 $0.00021 $0.00468
Sonnet 5 $0.00008 $0.00187
Haiku 4.5 $0.00004 $0.00094

Measured 9d ago against content hash aae500d00c52, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

remotion-scene-anatomy 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.

workspaces/voice-driven-animation/skills/remotion-scene-anatomy/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use

Use this in Stage 04 after beat-timings.md is finalized. This skill encodes the four patterns that make narrated Remotion videos behave correctly:

  1. timing.ts -- a single source of truth for beat boundaries
  2. Beat-local time -- each scene reads useCurrentFrame() inside its <Sequence>, so its T constants live in beat-local seconds
  3. Gap-fill sequences -- each scene's durationInFrames extends to the next beat's start, with a background AbsoluteFill underlay, so no black frames appear between scenes
  4. End-card pattern -- always lockup + website url, never a tagline overlay

For deeper Remotion API reference, see the upstream remotion-best-practices skill in ../../../script-to-animation/skills/remotion-best-practices/.

Rules

Per-Scene Anatomy

Every scene file follows the same shape:

// Beat N -- short description (abs start - end seconds)
// VO callouts (local seconds): tag = local_t

import React from 'react';
import {useCurrentFrame, useVideoConfig} from 'remotion';

const T = {
  callout1: <local seconds>,
  callout2: <local seconds>,
  // ...
};

export const BeatN: React.FC = () => {
  const frame = useCurrentFrame();
  const {fps} = useVideoConfig();
  const t = frame / fps;
  // reveals keyed off t and T.*
  return (/* JSX */);
};

When the audio is regenerated, beat-timings.md changes, timing.ts changes, and the per-scene T constants are re-derived from the new sub-callout values (absolute time minus the new beat start).

Master Composition

Read the full file on GitHub · 92 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 92 lines · 42 tokens per session scan A aae500d00c52

Subscribe to this mod's changes

remotion-scene-anatomy is a skill published in the GitHub repository RinDig/Interpretable-Context-Methodology (1,151 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 936 once invoked, about $0.0002 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 2026-08-30.

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