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 deepgram/dglabs-deepclaw --skill video-framesgit clone --depth 1 https://github.com/deepgram/dglabs-deepclawWrote 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/deepgram/dglabs-deepclaw/video-frames)<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/video-frames"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/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/deepgram/dglabs-deepclaw/video-frames"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/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 | $0.00015 | $0.00251 |
| Opus 5 | $0.00008 | $0.00125 |
| Sonnet 5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
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 5d 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
89% identical to video-frames — 4 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
Video Frames (ffmpeg)
Extract a single frame from a video, or create quick thumbnails for inspection.
Quick start
First frame:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg
At a timestamp:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg
Notes
- Prefer
--timefor “what is happening around here?”. - Use a
.jpgfor quick share; use.pngfor crisp UI frames.
What ships with it
1 file 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.
- 5d ago First seen · 47 lines · 15 tokens per session scan A f5cb2b9e7755
video-frames is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 251 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 video-frames, differing in 4 lines, and is treated as a copy.
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