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 daxaur/openpaw --skill c-videogit clone --depth 1 https://github.com/daxaur/openpawWrote 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/daxaur/openpaw/c-video)<a href="https://agentmods.dev/skills/daxaur/openpaw/c-video"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-video/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/daxaur/openpaw/c-video"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-video.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 | $0.00038 | $0.00426 |
| Opus 5.5 | $0.00015 | $0.00170 |
| Sonnet 5.5 | $0.00008 | $0.00085 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
c-video 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 1mo 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.
What it actually says
What This Skill Does
Enables Claude to download online videos, extract audio tracks, convert between formats, and cut/clip video segments using yt-dlp and ffmpeg.
Available CLI Tools
yt-dlp — Video Downloading
# Download a video (best quality)
yt-dlp "https://youtube.com/watch?v=ID"
# Download audio only as MP3
yt-dlp -x --audio-format mp3 "https://youtube.com/watch?v=ID"
# Download specific format/resolution
yt-dlp -f "bestvideo[height<=1080]+bestaudio" "URL"
# Download to specific output path
yt-dlp -o "~/Downloads/%(title)s.%(ext)s" "URL"
# List available formats
yt-dlp -F "URL"
ffmpeg — Processing & Conversion
# Convert video format
ffmpeg -i input.mp4 output.webm
# Extract audio from video
ffmpeg -i input.mp4 -vn -acodec mp3 output.mp3
# Clip a segment (start time, duration)
ffmpeg -i input.mp4 -ss 00:01:30 -t 00:00:45 -c copy clip.mp4
# Resize video
ffmpeg -i input.mp4 -vf scale=1280:720 output.mp4
Usage Guidelines
- Confirm the output directory before downloading large files
- Use
-xwithyt-dlpfor audio-only extraction instead of downloading video first
Notes
- Only download content you have rights to use
yt-dlpmay need periodic updates:pip install -U yt-dlp
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.
- 1mo ago First seen · 57 lines · 38 tokens per session scan A 36a0156ad15f
c-video is a skill published in the GitHub repository daxaur/openpaw (173 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 426 once invoked, about $0.0002 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.
Other skills, from other repositories
media-download
Download video (or audio) from YouTube, Rumble, and other yt-dlp-supported sites via the media-downloader MCP server, and natively store the downloaded media into the epistemic-graph knowledge graph as a content-addressed blob + :MediaAsset. Use when the agent must fetch a video by URL and optionally persist the raw…
media-audio
Extract audio as MP3 from a video/media URL via the media-downloader MCP server, natively storing the resulting audio into epistemic-graph as a content-addressed blob + :MediaAsset. Use when the agent needs the audio track (podcast, music, lecture) rather than the full video. Do NOT use for full-video download…
ffmpeg-video-editor
A complete FFmpeg-powered video editing agent. Use this skill whenever the user wants to do anything with video or audio files — trimming, cutting, transcoding, resizing, concatenating, adding subtitles, overlaying images or text, applying color grades or LUTs, normalizing audio levels, creating transitions…
youtube-transcribe
Transcribe YouTube videos and playlists. Extract audio to text with visual context, generate summaries and detailed notes.
ffmpeg-audio-processing
A collection of practical FFmpeg commands for processing audio. FFmpeg is a command-line program that converts and edits media files.
ffmpeg-video-processing
A video-processing skill built around FFmpeg, a command-line program for converting and editing video and audio files.