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 jykim/claude-obsidian-skills --skill video-full-processgit clone --depth 1 https://github.com/jykim/claude-obsidian-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/jykim/claude-obsidian-skills/video-full-process)<a href="https://agentmods.dev/skills/jykim/claude-obsidian-skills/video-full-process"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/video-full-process/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/jykim/claude-obsidian-skills/video-full-process"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/video-full-process.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00021 | $0.01566 |
| Opus 5 | $0.00010 | $0.00783 |
| Sonnet 5 | $0.00004 | $0.00313 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
video-full-process 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 11d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Full Process Skill
Combines video-clean and video-add-chapters into a single workflow that:
- Transcribes once (saving API costs)
- Removes pauses and filler words
- Detects and embeds chapters
- Remaps chapter timestamps to the cleaned video
- Generates YouTube chapter markers and documentation
When to Use This Skill
- Processing raw video recordings end-to-end
- Creating polished videos with embedded chapters
- Generating YouTube-ready content with chapter markers
- When you need both pause removal AND chapter organization
Quick Start
# Full processing with default settings
python process_video.py "video.mp4" --language ko
# Preview mode (see what will be changed)
python process_video.py "video.mp4" --preview
# Skip chapter embedding (only clean + generate docs)
python process_video.py "video.mp4" --no-embed-chapters
Workflow Overview
Input: raw_video.mp4
│
▼
┌─────────────────────────────────────┐
│ 1. Transcribe (once) │
│ - Uses chunked transcription │
│ - Handles long videos (15min+) │
│ - Output: transcript.json │
└─────────────────────────────────────┘
│
┌─────┴─────┐
▼ ▼
┌─────────┐ ┌─────────────┐
│ 2a. │ │ 2b. Detect │ ← Parallel
│ Clean │ │ Chapters │
└─────────┘ └─────────────┘
│ │
▼ ▼
┌─────────┐ ┌─────────────┐
│ cleaned │ │ chapters. │
│ .mp4 │ │ json │
│ + pauses│ │ │
│ .json │ │ │
└─────────┘ └─────────────┘
│
▼
┌─────────────────────────────────────┐
│ 3. Remap chapters to cleaned video │
│ - Calculate removed time │
│ - Adjust chapter timestamps │
└─────────────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ 4. Embed chapters + Generate docs │
│ - ffmpeg metadata embed │
│ - YouTube chapters txt │
│ - Chapter markdown files │
└─────────────────────────────────────┘
│
▼
Output: cleaned-chapters.mp4 + docs
What ships with it
2 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.
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.
- 11d ago First seen · 228 lines · 21 tokens per session scan A 3d7208250fb2
video-full-process is a skill published in the GitHub repository jykim/claude-obsidian-skills (50 stars, last pushed 19d ago), licensed MIT. It adds 21 tokens to every session and 1,566 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.
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