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 emanueleielo/ciana-parrot --skill video-framesgit clone --depth 1 https://github.com/emanueleielo/ciana-parrotWrote 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/emanueleielo/ciana-parrot/video-frames)<a href="https://agentmods.dev/skills/emanueleielo/ciana-parrot/video-frames"><img src="https://agentmods.dev/badge/skills/emanueleielo/ciana-parrot/video-frames/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/emanueleielo/ciana-parrot/video-frames"><img src="https://agentmods.dev/badge/skills/emanueleielo/ciana-parrot/video-frames.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 | $0.00027 | $0.00456 |
| Opus 5 | $0.00014 | $0.00228 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
video-frames 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 10d 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
Video Frames
Extract frames, thumbnails, and clips from video files.
When to Use
- "Extract a frame from this video"
- "Create a thumbnail for this video"
- "Get frames at 1fps from this clip"
- "Cut a segment from this video"
- Analyzing video content by extracting key frames
Extract a Single Frame
ffmpeg -i input.mp4 -ss 00:00:05 -frames:v 1 frame.png
-ss 00:00:05 = seek to 5 seconds.
Extract Frames at Interval
ffmpeg -i input.mp4 -vf "fps=1" frames_%04d.png
fps=1 = one frame per second. Use fps=1/10 for one every 10 seconds.
Create a Contact Sheet (Grid of Frames)
ffmpeg -i input.mp4 -vf "fps=1/30,scale=320:-1,tile=4x4" contact_sheet.png
One frame every 30 seconds, 4x4 grid.
Cut a Video Segment
ffmpeg -i input.mp4 -ss 00:01:00 -to 00:02:00 -c copy clip.mp4
Get Video Info
ffprobe -v quiet -print_format json -show_format -show_streams input.mp4
Extract Audio
ffmpeg -i input.mp4 -vn -acodec mp3 audio.mp3
Convert Format
ffmpeg -i input.webm -c:v libx264 output.mp4
Notes
- ffmpeg and ffprobe are available as execute commands
- Always use
-yflag to overwrite output files without prompting - For large videos, use
-ssbefore-ifor faster seeking - Output files are saved in the workspace directory
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.
- 10d ago First seen · 69 lines · 27 tokens per session scan A f5e07cd33f02
video-frames is a skill published in the GitHub repository emanueleielo/ciana-parrot (77 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 456 once invoked, about $0.0001 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.
Other skills, from other repositories
skin-creator
Create and apply a two-asset LobsterAI visual skin from the user's style description. Use only when the AI Skin Designer kit supplies the structured skinpack workflow marker; do not use for ordinary theme or image requests.
music-search
Search cloud drives for downloadable music resources (songs, albums, lossless audio). Use this skill when the user wants to download a specific song or album. Do NOT use for general music information, lyrics, or recommendations.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
qwen-image
Generate images using Qwen Image API (Alibaba Cloud DashScope). Use when users request image generation with Chinese prompts or need high-quality AI-generated images from text descriptions.
screenshot-sender
Capture screenshots on macOS and optionally send them to Feishu chats. Use when the user asks to take a screenshot, capture the screen, send a screenshot, or needs visual evidence of something on screen. Supports full screen, window, and region capture modes.
video-subtitles
Generate SRT subtitles from video/audio with translation support. Transcribes Chinese (FunASR/Whisper), English (Whisper), Hebrew (ivrit.ai), translates between languages, burns subtitles into video. Use for creating captions, transcripts, or hardcoded subtitles.