A practical guide and set of scripts for processing audio and video with ffmpeg and ffprobe, command-line tools for converting and inspecting media files. It covers tasks such as cutting, joining, subtitles, GIFs, streaming packages, and quality checks.

Probing media files, transcoding or compressing them, editing clips, normalizing audio, adding subtitles, creating HLS streams, and checking quality.

It helps avoid incorrect output by checking the input media’s format, timing, rotation, color, and other properties before processing.

ffmpeg-ops — Skill for Claude Code by 0xDarkMatter/claude-mods

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 0xDarkMatter/claude-mods --skill ffmpeg-ops

Clone the repo

git clone --depth 1 https://github.com/0xDarkMatter/claude-mods

Made for: Claude Code.

Or install claude-mods, the plugin that ships this one along with the rest of its 112 skills, 3 commands, 3 agents, 4 hooks.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/0xdarkmatter/claude-mods/ffmpeg-ops/github.svg)](https://agentmods.dev/skills/0xdarkmatter/claude-mods/ffmpeg-ops)

Your own site

<a href="https://agentmods.dev/skills/0xdarkmatter/claude-mods/ffmpeg-ops"><img src="https://agentmods.dev/badge/skills/0xdarkmatter/claude-mods/ffmpeg-ops/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/0xdarkmatter/claude-mods/ffmpeg-ops"><img src="https://agentmods.dev/badge/skills/0xdarkmatter/claude-mods/ffmpeg-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,523 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.

Model	Per session	Once invoked
Fable 5.1	$0.00078	$0.04523
Opus 5.5	$0.00031	$0.01809
Sonnet 5.5	$0.00016	$0.00905
Haiku 4.5	$0.00008	$0.00452

Measured 18d ago against content hash 6a8c44a89df2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ffmpeg-ops 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 18d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (scripts/capability-scan.sh, scripts/cut-from-edl.py, scripts/detect-segments.py, …), 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

quality-grading — 86% identical, 425 lines differ

skills/ffmpeg-ops/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ffmpeg Operations

Operational expertise for ffmpeg/ffprobe: the ~30 commands that cover most real work, the footguns that silently ruin output, EDL-driven editing (edit-as-code), and eight scripts that replace the logic an agent would otherwise re-derive every task.

Doctrine: probe first

Never transcode, cut, or filter blind. Every media task starts by probing the input — codec, duration, frame rate (constant or variable?), pixel format, rotation, stream layout. Half of all "ffmpeg did something weird" reports are a property of the input the command never checked.

python skills/ffmpeg-ops/scripts/probe-media.py input.mp4            # human summary
python skills/ffmpeg-ops/scripts/probe-media.py --doctor input.mp4   # TRIAGE: hazards + exact fixes
python skills/ffmpeg-ops/scripts/probe-media.py --json input.mp4 | jq '.data.streams'
python skills/ffmpeg-ops/scripts/probe-media.py --keyframes-near 92.5 input.mp4

--doctor makes the doctrine self-enforcing: VFR, HDR transfer, rotation metadata, interlacing, non-yuv420p delivery, and moov-at-EOF each come back as a finding with the exact fix command, and exit 10 means "fix before processing". The --keyframes-near form answers "can I stream-copy a cut at 92.5s?" — it reports the nearest keyframes so you know whether a copy cut will snap (see Footguns). When a command fails with a cryptic message, decode it: references/error-decoder.md.

Before recommending an encoder, verify the build has it. Installed ffmpeg builds vary wildly (especially hardware encoders — listed ≠ working):

bash skills/ffmpeg-ops/scripts/capability-scan.sh           # full: proof-encodes each hw encoder
bash skills/ffmpeg-ops/scripts/capability-scan.sh --quick   # list-only, no GPU touch

Cookbook

Copy-paste recipes, each with the trap it avoids in its comments: references/cookbook.md. Commands are bash-form (see Windows notes); always pass -y or -n so no agent-run command goes interactive.

Read the full file on GitHub · 252 lines

Files

What ships with it

35 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.

18d ago Changed · -259 lines 6a8c44a89df2
1mo ago First seen · 511 lines · 78 tokens per session scan A c0b2b847b6b0

Subscribe to this mod's changes

ffmpeg-ops is a skill published in the GitHub repository 0xDarkMatter/claude-mods (74 stars, last pushed 9d ago), licensed MIT. It adds 78 tokens to every session and 4,523 once invoked, about $0.0003 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.

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