ffmpeg

ffmpeg is a skill for Claude Code, Codex from c18229039407-arch/cutlin. It costs 55 tokens per session (4,352 once invoked), scanned A, original, AGPL-3.0.

A toolset for processing video and audio files with FFmpeg, a widely used command-line media utility. It handles tasks such as changing formats, resizing, compressing, and extracting audio.

In plain words
What is it for?
Converting GIFs to MP4, resizing or compressing media, extracting sound from video, and preparing media assets for Remotion, a tool for creating videos with code.
Why use it?
It removes the need to work out separate media-conversion commands for common file-preparation tasks.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

Good fit Converting GIFs to MP4, resizing or compressing media, extracting sound from video, and preparing media assets for Remotion, a tool for creating videos with code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/c18229039407-arch/cutlin/ffmpeg
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 c18229039407-arch/cutlin --skill ffmpeg
Clone the repo
git clone --depth 1 https://github.com/c18229039407-arch/cutlin

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 ffmpeg

README.md
[![agentmods](https://agentmods.dev/badge/skills/c18229039407-arch/cutlin/ffmpeg/github.svg)](https://agentmods.dev/skills/c18229039407-arch/cutlin/ffmpeg)
Your own site
<a href="https://agentmods.dev/skills/c18229039407-arch/cutlin/ffmpeg"><img src="https://agentmods.dev/badge/skills/c18229039407-arch/cutlin/ffmpeg/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 ffmpeg

Your own site · 80×15
<a href="https://agentmods.dev/skills/c18229039407-arch/cutlin/ffmpeg"><img src="https://agentmods.dev/badge/skills/c18229039407-arch/cutlin/ffmpeg.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,352 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 unknown 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 $0.00055 $0.04352
Opus 5.5 $0.00022 $0.01741
Sonnet 5.5 $0.00011 $0.00870
Haiku 4.5 $0.00006 $0.00435

Measured 2mo ago against content hash 20a0c1e35a68, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ffmpeg 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.

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.

.agents/skills/ffmpeg/SKILL.md · 433 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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. 2mo ago First seen · 433 lines · 55 tokens per session scan A 20a0c1e35a68

Subscribe to this mod's changes

ffmpeg is a skill published in the GitHub repository c18229039407-arch/cutlin (17 stars, last pushed 3mo ago), licensed AGPL-3.0. It adds 55 tokens to every session and 4,352 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 2026-08-30.

Related

ffmpeg compared with skills from other repositories

ffmpeg next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ffmpegc18229039407-arch/cutlinSkill173mo agoAGPL-3.0A55Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code