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 agentmods add skills/floomhq/moto/video-editnpx skills add floomhq/moto --skill video-editgit clone --depth 1 https://github.com/floomhq/motoWrote 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/floomhq/moto/video-edit)<a href="https://agentmods.dev/skills/floomhq/moto/video-edit"><img src="https://agentmods.dev/badge/skills/floomhq/moto/video-edit.svg" alt="Measured on agentmods" 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 | $0.00117 | $0.02480 |
| Opus 5 | $0.00059 | $0.01240 |
| Sonnet 5 | $0.00023 | $0.00496 |
| Haiku 4.5 | $0.00012 | $0.00248 |
Grade A, and why
video-edit 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Edit Skill
AI-powered video editing with ffmpeg and Gemini intelligence.
Quick Reference
| Command | What it does |
|---|---|
video-edit trim |
Cut to time range |
video-edit concat |
Join clips or image sequences |
video-edit speed |
Change playback speed |
video-edit text |
Add text overlays with timing |
video-edit image |
Add image overlay (logo, watermark) |
video-edit audio-mix |
Mix multiple audio tracks |
video-edit voiceover |
Generate ElevenLabs voiceover |
video-edit transition |
Add fades/crossfades |
video-edit export |
Export with social media presets |
video-edit ai-review |
Gemini analyzes video, suggests edits |
video-edit ai-score |
Gemini scores video quality (0-10) |
Architecture
All editing uses ffmpeg under the hood. The Python scripts generate and execute ffmpeg commands, keeping edits non-destructive (original files untouched).
Input video/images --> Edit operations --> ffmpeg command --> Output video
^
Gemini AI review (optional)
Workflow
Step 1: Plan the edit
Either describe what you want, or use ai-review to get suggestions:
python3 ~/.claude/skills/video-edit/scripts/video_edit.py ai-review <video_path>
This extracts frames, sends to Gemini, and returns structured edit suggestions.
Step 2: Execute edits
Chain operations. Each produces a new file (non-destructive):
# Trim to 30 seconds
python3 ~/.claude/skills/video-edit/scripts/video_edit.py trim <input> -o <output> --start 0 --end 30
# Add text overlay
python3 ~/.claude/skills/video-edit/scripts/video_edit.py text <input> -o <output> \
--text "Your text here" --position bottom --start 0 --end 5 --style subtitle
# Mix audio
python3 ~/.claude/skills/video-edit/scripts/video_edit.py audio-mix <input> -o <output> \
--tracks '{"voiceover.mp3": {"volume": 1.0}, "music.mp3": {"volume": 0.15, "fade_out": 3}}'
# Generate voiceover
python3 ~/.claude/skills/video-edit/scripts/video_edit.py voiceover \
--text "Script here" --voice sarah --output voiceover.mp3
# Export for LinkedIn
python3 ~/.claude/skills/video-edit/scripts/video_edit.py export <input> -o <output> --preset linkedin
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.
- 6d ago First seen · 251 lines · 117 tokens per session scan A caa52ba49924
video-edit is a skill published in the GitHub repository floomhq/moto (32 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 2,480 once invoked, about $0.0006 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.
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