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 guanyang/open-agent-hub --skill remotion-multimediagit clone --depth 1 https://github.com/guanyang/open-agent-hubWrote 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/guanyang/open-agent-hub/remotion-multimedia)<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/remotion-multimedia"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/remotion-multimedia/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/guanyang/open-agent-hub/remotion-multimedia"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/remotion-multimedia.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 | $0.00012 | $0.00168 |
| Opus 5 | $0.00006 | $0.00084 |
| Sonnet 5 | $0.00002 | $0.00034 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
remotion-multimedia 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 yesterday.
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.
This is a copy
89% identical to mediabunny — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Mediabunny is a multimedia library for dealing with audio and video in the browser. Here is a compact overview of its capabilities: https://mediabunny.dev/llms.txt
Getting audio duration
See get-audio-duration.md for getting the duration of an audio file in seconds with Mediabunny.
Getting video dimensions
See get-video-dimensions.md for getting the width and height of a video file with Mediabunny.
Getting video duration
See get-video-duration.md for getting the duration of a video file in seconds with Mediabunny.
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.
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.
- yesterday Changed 30ca3a5189a5
- 3d ago Changed 7e28322023ba
- 6d ago Changed ecab5b35f462
- 8d ago First seen · 21 lines · 12 tokens per session scan A 9eb13cb94cca
remotion-multimedia is a skill published in the GitHub repository guanyang/open-agent-hub (967 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 168 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to mediabunny, differing in 7 lines, and is treated as a copy.
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