remotion-video-workflow

remotion-video-workflow is a skill for Codex from shaom/infocard-video-skills. It costs 50 tokens per session (1,510 once invoked), scanned A, original, MIT.

A workflow for making reusable short videos in Remotion, a React-based video framework, from a brief, article, notes, or other source material.

In plain words
What is it for?
Use it to build knowledge-focused short videos with hooks, content, and end cards; adapt them to different ratios; render them; and verify the video and cover outputs.
Why use it?
It provides a repeatable structure for storyboards, covers, branding, audio, rendering, and output checks instead of treating each video as an isolated experiment.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to build knowledge-focused short videos with hooks, content, and end cards; adapt them to different ratios; render them; and verify the video and cover outputs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaom/infocard-video-skills/remotion-video-workflow
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 shaom/infocard-video-skills --skill remotion-video-workflow
Clone the repo
git clone --depth 1 https://github.com/shaom/infocard-video-skills

Made for: 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-video-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaom/infocard-video-skills/remotion-video-workflow/github.svg)](https://agentmods.dev/skills/shaom/infocard-video-skills/remotion-video-workflow)
Your own site
<a href="https://agentmods.dev/skills/shaom/infocard-video-skills/remotion-video-workflow"><img src="https://agentmods.dev/badge/skills/shaom/infocard-video-skills/remotion-video-workflow/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-video-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/shaom/infocard-video-skills/remotion-video-workflow"><img src="https://agentmods.dev/badge/skills/shaom/infocard-video-skills/remotion-video-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,510 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 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 $0.00050 $0.01510
Opus 5.5 $0.00020 $0.00604
Sonnet 5.5 $0.00010 $0.00302
Haiku 4.5 $0.00005 $0.00151

Measured 2mo ago against content hash 0c6c45fe1811, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

remotion-video-workflow 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 2mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/probe_output.sh, scripts/render_cover.sh, scripts/render_video.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/remotion-video-workflow/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remotion Video Workflow

Overview

Use this skill to turn a brief, article, notes, or other source material into a structured Remotion short video workflow. This skill is designed for reusable production, not for one-off visual experiments.

The default target is a knowledge-oriented short video with clear pacing, stable structure, and linked video and cover outputs. The validated baseline for v1 is a 30fps Remotion project with:

  • a pure data storyboard module
  • a separate cover content module
  • one or more video compositions in Root.tsx
  • one still composition for the cover
  • tests that enforce structure and content preservation
  • render and ffprobe validation

This skill assumes the agent also follows the upstream remotion-best-practices skill for Remotion-specific implementation details. Use that upstream skill for:

  • composition and still registration
  • frame-driven animation rules
  • TransitionSeries usage
  • audio component behavior
  • sequencing rules
  • font loading behavior

When To Use

Use this skill when the user wants:

  • a knowledge-dense short video
  • a Hook / Content / End Card structure
  • a Remotion-based workflow instead of a generic script-only answer
  • a cover and video that should feel related
  • ratio-aware output such as 3:4 or 4:3
  • render and output validation as part of the task

Do not use this skill as the default choice for:

  • a single throwaway animation experiment
  • long-form narrative videos
  • narration-first talking-head edits
  • pure video editing tasks that do not need Remotion composition

Input Expectations

Collect or infer these inputs:

  • source material or topic
  • target ratio
  • target runtime
  • brand inputs if any
  • cover requirement
  • output requirement such as plan only, implementation, render, or verification

When inputs are missing, infer conservatively:

  • default ratio: 3:4
  • default fps: 30
  • default runtime target: 25 to 45 seconds
  • default structure: Hook -> Content -> End Card
  • default visual mode: one reusable theme with one warm accent and one cool accent
  • default output mode: planning first, implementation second

Read the full file on GitHub · 210 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. 2mo ago First seen · 210 lines · 50 tokens per session scan A 0c6c45fe1811

Subscribe to this mod's changes

remotion-video-workflow is a skill published in the GitHub repository shaom/infocard-video-skills (4 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 1,510 once invoked, about $0.0002 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 2026-08-31.

Related

remotion-video-workflow compared with skills from other repositories

remotion-video-workflow next to 6 skills from other repositories
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