video-cleaning

video-cleaning is a skill for Claude Code, Codex from jykim/claude-obsidian-skills. It costs 0 tokens per session (5,061 once invoked), scanned B, original, MIT.

A workflow that transcribes Korean videos with Whisper, a speech-to-text service, then edits them with MoviePy, a video-processing library.

In plain words
What is it for?
Use it to clean Korean presentations, lectures, podcasts, interviews, and other videos containing spoken audio.
Why use it?
It removes pauses, filler words such as “uh” and “um,” and unused silence from recordings, reducing manual editing work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to clean Korean presentations, lectures, podcasts, interviews, and other videos containing spoken audio.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jykim/claude-obsidian-skills/video-cleaning
Install

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.

Any agent
npx skills add jykim/claude-obsidian-skills --skill video-cleaning
Clone the repo
git clone --depth 1 https://github.com/jykim/claude-obsidian-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for video-cleaning

README.md
[![agentmods](https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/video-cleaning/github.svg)](https://agentmods.dev/skills/jykim/claude-obsidian-skills/video-cleaning)
Your own site
<a href="https://agentmods.dev/skills/jykim/claude-obsidian-skills/video-cleaning"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/video-cleaning/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.

agentmods 80×15 button for video-cleaning

Your own site · 80×15
<a href="https://agentmods.dev/skills/jykim/claude-obsidian-skills/video-cleaning"><img src="https://agentmods.dev/badge/skills/jykim/claude-obsidian-skills/video-cleaning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 27
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 385
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Rogue Agent · line 396
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.05061
Opus 5 $0.00000 $0.02531
Sonnet 5 $0.00000 $0.01012
Haiku 4.5 $0.00000 $0.00506

Measured 12d ago against content hash 862d13874bb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

video-cleaning scanned grade B with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (edit_video_remove_pauses.py, transcribe_video.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Linux: `sudo apt install ffmpeg`
video-cleaning/SKILL.md · 625 lines

How it starts

The opening of the file, as written. The whole thing — 625 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Cleaning Skill

Automated video transcription and editing workflow that removes pauses and filler words from Korean videos using OpenAI Whisper API and MoviePy for frame-accurate cuts.

When to Use This Skill

Use this skill when you need to:

  • Clean up recorded presentations or talks
  • Remove awkward pauses and "uh/um" sounds from videos
  • Reduce video length by removing dead air
  • Create polished videos from raw recordings
  • Process Korean language videos with natural speech patterns

Perfect for: Presentation recordings, lecture videos, podcast recordings, interview footage, or any speaking video that needs cleaning.

Example Results

See the before/after comparison:

Requirements

System Requirements

  • FFmpeg: Video processing tool (must be installed)
    • macOS: brew install ffmpeg
    • Linux: sudo apt install ffmpeg
    • Windows: Download from ffmpeg.org

Python Requirements

  • OpenAI Python SDK: pip install openai
  • MoviePy: pip install moviepy (video editing with frame accuracy)
  • OpenAI API Key: Set environment variable OPENAI_API_KEY
    • Get your API key from platform.openai.com
    • Cost: ~$0.15 per 25-minute video (Whisper transcription)

Python Version

  • Python 3.7 or higher

How It Works

This skill uses a two-step workflow:

Step 1: Transcription (transcribe_video.py)

  1. Extracts audio from video using FFmpeg
  2. Sends audio to OpenAI Whisper API for transcription
  3. Receives word-level timestamps (precise timing for each word)
  4. Generates three output files:
    • {video_name} - transcript.json (complete API response)
    • {video_name} - transcript.md (formatted markdown)
    • {video_name} - word_timings.txt (simple text reference)

Step 2: Video Editing (edit_video_remove_pauses.py)

  1. Loads word-level transcript from Step 1
  2. Identifies long pauses between words (> 1.0 seconds by default)
  3. Identifies Korean filler words (어, 음, 아, 이, 오, 저)
  4. Calculates which video segments to keep
  5. Uses MoviePy for frame-accurate cutting and reassembly
  6. Generates edited video and detailed report

Read the full file on GitHub · 625 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 625 lines · 0 tokens per session scan B 862d13874bb3

Subscribe to this mod's changes

video-cleaning is a skill published in the GitHub repository jykim/claude-obsidian-skills (50 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,061 tokens. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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