ffmpeg-toolkit

ffmpeg-toolkit is a skill for Claude Code, Codex from jakenuts/agent-skills. It costs 60 tokens per session (2,991 once invoked), scanned A, original, MIT.

An agent for creating or improving GitHub community files, which are repository documents that guide bug reports, feature requests, pull requests, ownership, and contribution rules.

In plain words
What is it for?
Use it to generate issue templates, a pull-request template, CODEOWNERS, labels, and other files in the repository's .github directory.
Why use it?
It gives contributors consistent forms and instructions, making project issues easier to report, review, and maintain.

Skill for Claude CodeCodex

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

Good fit Use it to generate issue templates, a pull-request template, CODEOWNERS, labels, and other files in the repository's .github directory.

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

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-toolkit

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakenuts/agent-skills/ffmpeg-toolkit.svg)](https://agentmods.dev/skills/jakenuts/agent-skills/ffmpeg-toolkit)
Your own site
<a href="https://agentmods.dev/skills/jakenuts/agent-skills/ffmpeg-toolkit"><img src="https://agentmods.dev/badge/skills/jakenuts/agent-skills/ffmpeg-toolkit.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,991 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 $0.00060 $0.02991
Opus 5 $0.00030 $0.01496
Sonnet 5 $0.00012 $0.00598
Haiku 4.5 $0.00006 $0.00299

Measured 8d ago against content hash f385febeb1a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ffmpeg-toolkit 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.

skills/ffmpeg-toolkit/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FFmpeg Toolkit

Transcode

# Convert to MP4 (H.264 + AAC)
ffmpeg -i input.mov -c:v libx264 -preset medium -crf 23 \
       -c:a aac -b:a 128k output.mp4

# Convert to WebM (VP9 + Opus)
ffmpeg -i input.mp4 -c:v libvpx-vp9 -crf 30 -b:v 0 \
       -c:a libopus -b:a 128k output.webm

Resize

# Specific dimensions
ffmpeg -i input.mp4 -vf "scale=1920:1080" output.mp4

# Aspect-ratio preserve with padding (letterbox/pillarbox)
ffmpeg -i input.mp4 -vf "scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:(ow-iw)/2:(oh-ih)/2" output.mp4

# Crop to fill (no black bars)
ffmpeg -i input.mp4 -vf "scale=1920:1080:force_original_aspect_ratio=increase,crop=1920:1080" output.mp4

# Scale to width, auto height
ffmpeg -i input.mp4 -vf "scale=1280:-2" output.mp4

# Scale to percentage (50%)
ffmpeg -i input.mp4 -vf "scale=iw/2:ih/2" output.mp4

Trim and Cut

# Cut from timestamp + duration (re-encode recommended for accuracy)
ffmpeg -i input.mp4 -ss 00:00:30 -t 00:00:15 -c:v libx264 -c:a aac output.mp4

# Cut from start to end timestamp
ffmpeg -i input.mp4 -ss 00:00:30 -to 00:00:45 -c:v libx264 -c:a aac output.mp4

# Stream copy (faster, but may lose frames at non-keyframe cut points)
ffmpeg -i input.mp4 -ss 00:00:30 -t 00:00:15 -c copy output.mp4

# Fast seek for large files (put -ss before -i)
ffmpeg -ss 00:10:00 -i large_video.mp4 -t 00:05:00 -c copy clip.mp4

Note: Re-encoding is recommended for trimming. Stream copy (-c copy) can silently drop video if the seek point doesn't align with a keyframe.

Speed Adjustment

# 2x speed (video and audio)
ffmpeg -i input.mp4 -filter_complex "[0:v]setpts=0.5*PTS[v];[0:a]atempo=2.0[a]" \
       -map "[v]" -map "[a]" output.mp4

# 0.5x speed (slow motion)
ffmpeg -i input.mp4 -filter_complex "[0:v]setpts=2.0*PTS[v];[0:a]atempo=0.5[a]" \
       -map "[v]" -map "[a]" output.mp4

# Video only (no audio)
ffmpeg -i input.mp4 -filter:v "setpts=0.5*PTS" -an output.mp4

# Extreme slow motion (0.25x) - chain atempo filters (each limited to 0.5-2.0)
ffmpeg -i input.mp4 -filter_complex "[0:v]setpts=4.0*PTS[v];[0:a]atempo=0.5,atempo=0.5[a]" \
       -map "[v]" -map "[a]" output.mp4

Read the full file on GitHub · 271 lines

Files

What ships with it

5 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. 8d ago First seen · 271 lines · 60 tokens per session scan A f385febeb1a5

Subscribe to this mod's changes

ffmpeg-toolkit is a skill published in the GitHub repository jakenuts/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 2,991 once invoked, about $0.0003 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 2026-08-31.

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