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 xuansenpa1/skillrevise --skill ffmpeg-video-filtersgit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote 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/xuansenpa1/skillrevise/ffmpeg-video-filters)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/ffmpeg-video-filters"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/ffmpeg-video-filters/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/xuansenpa1/skillrevise/ffmpeg-video-filters"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/ffmpeg-video-filters.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 | $0.00022 | $0.01151 |
| Opus 5 | $0.00011 | $0.00575 |
| Sonnet 5 | $0.00004 | $0.00230 |
| Haiku 4.5 | $0.00002 | $0.00115 |
Grade A, and why
FFmpeg Video Filters 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.
This is a copy
100% identical to ffmpeg-video-filters — 2 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FFmpeg Video Filters Skill
Apply video filters for scaling, cropping, watermarks, speed changes, and visual effects.
When to Use
- Resize videos
- Crop video frames
- Add watermarks or overlays
- Change playback speed
- Apply blur or other effects
- Adjust brightness/contrast
Scaling
# Scale to 720p (maintain aspect ratio)
ffmpeg -i input.mp4 -vf scale=-2:720 output.mp4
# Scale to specific width (maintain aspect ratio)
ffmpeg -i input.mp4 -vf scale=1280:-2 output.mp4
# Scale to exact dimensions (may distort)
ffmpeg -i input.mp4 -vf scale=1920:1080 output.mp4
# Scale with algorithm
ffmpeg -i input.mp4 -vf scale=1280:720:flags=lanczos output.mp4
Cropping
# Crop to 16:9 from center
ffmpeg -i input.mp4 -vf "crop=1920:1080" output.mp4
# Crop with offset (x:y:width:height)
ffmpeg -i input.mp4 -vf "crop=1920:1080:0:0" output.mp4
# Crop from specific position
ffmpeg -i input.mp4 -vf "crop=800:600:100:50" output.mp4
Watermarks and Overlays
# Add image watermark (top-left)
ffmpeg -i input.mp4 -i logo.png \
-filter_complex "overlay=10:10" output.mp4
# Bottom-right watermark
ffmpeg -i input.mp4 -i logo.png \
-filter_complex "overlay=W-w-10:H-h-10" output.mp4
# Center watermark
ffmpeg -i input.mp4 -i logo.png \
-filter_complex "overlay=(W-w)/2:(H-h)/2" output.mp4
Speed Changes
# Speed up 2x
ffmpeg -i input.mp4 -vf "setpts=0.5*PTS" -af "atempo=2.0" output.mp4
# Slow down 0.5x
ffmpeg -i input.mp4 -vf "setpts=2.0*PTS" -af "atempo=0.5" output.mp4
# Speed up video only (no audio)
ffmpeg -i input.mp4 -vf "setpts=0.5*PTS" -an output.mp4
Blur Effects
# Blur entire video
ffmpeg -i input.mp4 -vf "boxblur=10:5" output.mp4
# Blur specific region (coordinates x:y:w:h)
ffmpeg -i input.mp4 -vf "boxblur=10:5:x=100:y=100:w=200:h=200" output.mp4
# Gaussian blur
ffmpeg -i input.mp4 -vf "gblur=sigma=5" output.mp4
Brightness and Contrast
# Adjust brightness and contrast
ffmpeg -i input.mp4 -vf "eq=brightness=0.1:contrast=1.2" output.mp4
# Increase brightness
ffmpeg -i input.mp4 -vf "eq=brightness=0.2" output.mp4
# Adjust saturation
ffmpeg -i input.mp4 -vf "eq=saturation=1.5" output.mp4
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 · 148 lines · 22 tokens per session scan A 55e9d3a099a5
FFmpeg Video Filters is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 7d ago), licensed MIT. It adds 22 tokens to every session and 1,151 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ffmpeg-video-filters, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…