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 curiositech/some_claude_skills --skill video-processing-editinggit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/curiositech/some_claude_skills/video-processing-editing)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/video-processing-editing"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/video-processing-editing/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/curiositech/some_claude_skills/video-processing-editing"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/video-processing-editing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00102 | $0.05283 |
| Opus 5 | $0.00051 | $0.02642 |
| Sonnet 5 | $0.00020 | $0.01057 |
| Haiku 4.5 | $0.00010 | $0.00528 |
Grade A, and why
video-processing-editing 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 8d 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 — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Processing & Editing
Expert in FFmpeg-based video editing, processing automation, and export optimization for modern content creation workflows.
When to Use
✅ Use for:
- Automated video editing pipelines (script-to-video)
- Cutting, trimming, concatenating clips
- Adding transitions, effects, overlays
- Audio mixing and normalization
- Subtitle/caption handling
- Export optimization for platforms
- Batch video processing
- Color grading and correction
❌ NOT for:
- Real-time video editing UI (use DaVinci Resolve/Premiere)
- 3D compositing (use After Effects/Blender)
- Motion graphics animation (use After Effects)
- Basic screen recording (use OBS)
Technology Selection
Video Editing Tools
| Tool | Speed | Features | Use Case |
|---|---|---|---|
| FFmpeg | Very Fast | CLI automation | Production pipelines |
| MoviePy | Medium | Python API | Programmatic editing |
| PyAV | Fast | Low-level control | Custom processing |
| DaVinci Resolve | Slow | Full NLE | Manual editing |
Decision tree:
Need automation? → FFmpeg
Need Python API? → MoviePy
Need frame-level control? → PyAV
Need manual editing? → DaVinci Resolve
Common Anti-Patterns
Anti-Pattern 1: Not Using Keyframe-Aligned Cuts
Novice thinking: "Just cut the video at any timestamp"
Problem: Causes artifacts, black frames, and playback issues.
Wrong approach:
# ❌ Cut at arbitrary timestamp (not keyframe-aligned)
ffmpeg -i input.mp4 -ss 00:01:23.456 -to 00:02:45.678 -c copy output.mp4
# Result: Black frames, artifacts, sync issues
Why wrong:
- Video codecs use keyframes (I-frames) every 2-10 seconds
- Non-keyframe cuts require re-encoding
- Using
-c copy(stream copy) without keyframe alignment breaks playback - GOP (Group of Pictures) structure depends on keyframes
Correct approach 1: Re-encode for precise cuts
# ✅ Re-encode for frame-accurate cutting
ffmpeg -i input.mp4 -ss 00:01:23.456 -to 00:02:45.678 \
-c:v libx264 -crf 18 -preset medium \
-c:a aac -b:a 192k \
output.mp4
# Frame-accurate, but slower (re-encoding)
What ships with it
11 files 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.
- demo/index.html 36 KB
- references/export-optimization.md 10 KB
- references/ffmpeg-guide.md 14 KB
- references/timeline-editing.md 8.5 KB
- scripts/audio_mixer.py 23 KB runs code
- scripts/batch_processor.py 16 KB runs code
- scripts/motion_graphics.py 21 KB runs code
- scripts/quality_assessment.py 26 KB runs code
- scripts/thumbnail_generator.py 17 KB runs code
- scripts/timelapse_creator.py 19 KB runs code
- scripts/video_editor.py 22 KB runs code
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.
- 8d ago First seen · 582 lines · 102 tokens per session scan A 09a6aeb1c512
video-processing-editing is a skill published in the GitHub repository curiositech/some_claude_skills (221 stars, last pushed 6d ago), licensed MIT. It adds 102 tokens to every session and 5,283 once invoked, about $0.0005 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 2026-09-03.
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