What is video-to-article?

A workflow for turning a lecture, presentation, or talk video into text such as a transcript, outline, or article draft. It checks the video's metadata, extracts its audio, transcribes it, and refines the text.

Use it to process lecture and presentation recordings, create transcripts, produce outlines, or draft articles from spoken content.

It provides a repeatable path from a recorded talk to usable written material without manually handling each conversion step.

video-to-article — Skill for Claude Code by lttr

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 lttr/claude-marketplace --skill video-to-article

Clone the repo

git clone --depth 1 https://github.com/lttr/claude-marketplace

Made for: Claude Code.

Or install video-to-article, the plugin that ships this one along with the rest of its 1 skill, 1 command.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lttr/claude-marketplace/video-to-article/github.svg)](https://agentmods.dev/skills/lttr/claude-marketplace/video-to-article)

Your own site

<a href="https://agentmods.dev/skills/lttr/claude-marketplace/video-to-article"><img src="https://agentmods.dev/badge/skills/lttr/claude-marketplace/video-to-article/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lttr/claude-marketplace/video-to-article"><img src="https://agentmods.dev/badge/skills/lttr/claude-marketplace/video-to-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,664 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00054	$0.02664
Opus 5	$0.00027	$0.01332
Sonnet 5	$0.00011	$0.00533
Haiku 4.5	$0.00005	$0.00266

Measured 12d ago against content hash d2a135ee4d22, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

video-to-article 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 3 executable files (scripts/download-youtube.sh, scripts/extract-audio.sh, scripts/transcribe-audio.sh), 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.

- sudo apt install yt-dlp (Ubuntu/Debian)

plugins/video-to-article/skills/video-to-article/SKILL.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video to Article Conversion Workflow

This skill automates the conversion of lecture/presentation videos into various text formats including transcripts, outlines, and article drafts.

Workflow Overview

Setup Folder - Create properly named folder if needed
Validate Input Metadata - Check for README.md with required frontmatter
Extract Audio - Convert video to MP3 using ffmpeg
Transcribe - Generate text transcript using ElevenLabs API
Process Text - Create progressive text refinements

Step 0: Folder Setup (if starting from scratch)

If user is starting a new talk/lecture conversion and no folder exists yet:

Create folder using format: YYYY Title of Talk

After creating folder, navigate into it and proceed with workflow.

Step 1: Validate Metadata

Look for README.md in the current directory with these frontmatter fields:

title - Lecture/presentation title
speaker - Speaker name
date - Presentation date (YYYY-MM-DD)
lang - Presentation language (e.g., "english", "czech", "spanish")
abstract - Brief description
slides - Link to slides (or file path)
video - Optional: link to video

If README.md is Missing or Incomplete

Ask the user for the missing information:

- What is the lecture title?
- Who is the speaker?
- What date was this presented?
- What language is the presentation in?
- Brief description or abstract?
- Link to slides or presentation file?

Create or update README.md with collected information.

Step 2: Find or Download Video File

Check for Local Video

Look for video file in current directory:

Common patterns: *.mp4, *.mov, *.avi, *.mkv
If multiple found, ask user which to process

If No Local Video Found

Ask the user if they have a YouTube URL:

"Do you have a YouTube URL for this talk?"
If yes, collect the YouTube URL
If no, ask for local video file path

Download from YouTube (if URL provided)

bash ${CLAUDE_SKILL_DIR}/scripts/download-youtube.sh <youtube-url>

Read the full file on GitHub · 340 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.

12d ago First seen · 340 lines · 54 tokens per session scan B d2a135ee4d22

Subscribe to this mod's changes

video-to-article is a skill published in the GitHub repository lttr/claude-marketplace (2 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 2,664 once invoked, about $0.0003 per session on Opus 5. 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 2026-08-31.

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video-to-article