short-form

short-form is a skill for Claude Code, Codex from AI-Answer/ContentRepurposeSystem. It costs 94 tokens per session (1,766 once invoked), scanned A, original, MIT.

A tool for turning one long YouTube video into short clips for Instagram Reels, YouTube Shorts, and TikTok. It uses the video's transcript to suggest moments, hooks, captions, hashtags, and editing timestamps.

In plain words
What is it for?
Use it to select clip-worthy sections from a video and prepare the accompanying opening lines, captions, hashtags, and timestamps.
Why use it?
It removes the need to watch the full video repeatedly to find usable excerpts and write separate text for each platform.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the content-repurpose-system plugin — 7 skills shipped together

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.

agentmods
npx agentmods add skills/ai-answer/contentrepurposesystem/short-form
Any agent
npx skills add AI-Answer/ContentRepurposeSystem --skill short-form
Clone the repo
git clone --depth 1 https://github.com/AI-Answer/ContentRepurposeSystem

Made for: Claude Code, Codex.

Or install content-repurpose-system, the plugin that ships this one along with the rest of its 7 skills.

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 short-form

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-answer/contentrepurposesystem/short-form.svg)](https://agentmods.dev/skills/ai-answer/contentrepurposesystem/short-form)
Your own site
<a href="https://agentmods.dev/skills/ai-answer/contentrepurposesystem/short-form"><img src="https://agentmods.dev/badge/skills/ai-answer/contentrepurposesystem/short-form.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,766 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00094 $0.01766
Opus 5 $0.00047 $0.00883
Sonnet 5 $0.00019 $0.00353
Haiku 4.5 $0.00009 $0.00177

Measured 4d ago against content hash 9e0f742cac04, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

short-form 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 4d 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.

skills/short-form/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Short-Form Repurposing Engine

Turn a long-form YouTube video into 3-5 short-form clips optimized for Reels, Shorts, and TikTok. Identifies the most clip-worthy moments, generates platform-specific hooks and captions, and provides timestamps for editing.

When This Skill Activates

Activate when the user wants to:

  • Create Reels, Shorts, or TikTok clips from a YouTube video
  • Repurpose long-form content into short-form
  • Identify the best clips from a video
  • Generate captions and hooks for short-form content

Example triggers:

  • "Create shorts from my latest video"
  • "Repurpose this for short-form"
  • "What are the best clips from this video?"
  • /short-form or /short-form <youtube-url>

Pipeline

Step 1 — Get the Transcript

If the user provided a YouTube URL, use it.

If the user said "latest video", auto-detect:

yt-dlp --flat-playlist --playlist-end 1 --print url --print title "https://www.youtube.com/channel/YOUR_CHANNEL_ID/videos"

Confirm with user: "Found your latest video: [TITLE]. Pulling clips from this one."

Fetch transcript using these methods in order:

Method 1 — Apify:

node "${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/scripts/fetch-transcript-apify.js" "<youtube-url>"

Method 2 — youtube-transcript:

node "${CLAUDE_PLUGIN_ROOT}/skills/content-cascade/scripts/fetch-transcript.js" "<youtube-url>"

Method 3 — yt-dlp subtitles:

yt-dlp --write-sub --sub-lang en-orig --skip-download --sub-format json3 -o "$TEMP/yt-transcript" "<youtube-url>"

Fall back to --write-auto-sub --sub-lang en if en-orig unavailable.

Parse json3:

node -e "
const fs = require('fs');
const path = require('path');
const dir = process.env.TEMP;
const file = fs.readdirSync(dir).find(f => f.startsWith('yt-transcript') && f.endsWith('.json3'));
if (!file) { console.error('No subtitle file found'); process.exit(1); }
const data = JSON.parse(fs.readFileSync(path.join(dir, file), 'utf8'));
const text = data.events.filter(e => e.segs).map(e => e.segs.map(s => s.utf8 || '').join('')).join(' ').replace(/\n/g, ' ').replace(/\\s+/g, ' ').trim();
console.log(text);
"

Read the full file on GitHub · 195 lines

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. 4d ago First seen · 195 lines · 94 tokens per session scan A 9e0f742cac04

Subscribe to this mod's changes

short-form is a skill published in the GitHub repository AI-Answer/ContentRepurposeSystem (12 stars, last pushed 2mo ago), licensed MIT. It adds 94 tokens to every session and 1,766 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 2026-08-30.

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