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.
npx skills add damionrashford/media-os --skill ffmpeg-docsgit clone --depth 1 https://github.com/damionrashford/media-osWrote 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.
[](https://agentmods.dev/skills/damionrashford/media-os/ffmpeg-docs)<a href="https://agentmods.dev/skills/damionrashford/media-os/ffmpeg-docs"><img src="https://agentmods.dev/badge/skills/damionrashford/media-os/ffmpeg-docs/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.
<a href="https://agentmods.dev/skills/damionrashford/media-os/ffmpeg-docs"><img src="https://agentmods.dev/badge/skills/damionrashford/media-os/ffmpeg-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00147 | $0.02402 |
| Opus 5 | $0.00073 | $0.01201 |
| Sonnet 5 | $0.00029 | $0.00480 |
| Haiku 4.5 | $0.00015 | $0.00240 |
Grade A, and why
ffmpeg-docs 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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FFmpeg Docs
Context: $ARGUMENTS
Quick start
- Find a filter / option: → Step 2 (
search --query <term>) - Read the full section for a filter: → Step 3 (
section --page ffmpeg-filters --id <anchor>) - Grab an entire doc page: → Step 4 (
fetch --page <name>) - Prime cache for offline use: → Step 5 (
index)
When to use
- User asks "what does
-Xdo in ffmpeg?" or "what are the parameters for filter Y?" - Need to verify a flag name exists before recommending it (prevents hallucinated options).
- Need the exact option table for a muxer / demuxer / protocol / device.
- Need to cite the canonical ffmpeg.org URL in a response.
- Before writing any non-trivial ffmpeg command, check the current doc for the filter/option you're about to use.
Step 1 — Know the page catalog
The script only works against a fixed list of known ffmpeg.org doc pages. Get the list:
uv run ${CLAUDE_SKILL_DIR}/scripts/ffdocs.py list-pages
Common picks:
| Question | Page |
|---|---|
| "What does filter X do?" | ffmpeg-filters |
"What are the options for -c:v libx264?" |
ffmpeg-codecs |
| "What HLS muxer options exist?" | ffmpeg-formats |
"What does srt:// accept?" |
ffmpeg-protocols |
| "How do I capture with avfoundation?" | ffmpeg-devices |
| "What bitstream filters are there?" | ffmpeg-bitstream-filters |
| "ffprobe output fields?" | ffprobe-all |
"Expression syntax (eval, if, gt)?" |
ffmpeg-utils |
| "Scaler flags?" | ffmpeg-scaler |
| "Resampler options?" | ffmpeg-resampler |
Read references/pages.md for the full catalog with descriptions.
Step 2 — Search first (this is the default)
When the user names a filter, option, muxer, or codec, search across all pages:
uv run ${CLAUDE_SKILL_DIR}/scripts/ffdocs.py search --query "tonemap" --limit 5
When you already know which page, scope the search to it (faster, less noise):
uv run ${CLAUDE_SKILL_DIR}/scripts/ffdocs.py search --query "hls_time" --page ffmpeg-formats
What ships with it
2 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.
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.
- 9d ago First seen · 214 lines · 147 tokens per session scan A 3fd21ad680c1
ffmpeg-docs is a skill published in the GitHub repository damionrashford/media-os (18 stars, last pushed 3mo ago), licensed MIT. It adds 147 tokens to every session and 2,402 once invoked, about $0.0007 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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