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get-started

get-started is a skill for Claude Code, Codex from mutonby/openshorts. It costs 85 tokens per session (658 once invoked), scanned A, original, from a forked repository, MIT.

A video-editing workflow that turns a long video into short, vertical clips with captions and titles, then can publish them to TikTok, Instagram Reels, and YouTube Shorts.

In plain words
What is it for?
It helps make clips from podcasts, interviews, or other owned videos. The user must own the video or have permission to use it.
Why use it?
It removes the manual work of finding moments, formatting them for phone screens, adding captions, and preparing short-video posts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 6.7krepo +319 today A scan 85 tokens fork MIT

Good fit It helps make clips from podcasts, interviews, or other owned videos. The user must own the video or have permission to use it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mutonby/openshorts/get-started
View source ↗ mutonby/openshorts openshorts.app
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 mutonby/openshorts --skill get-started
Clone the repo
git clone --depth 1 https://github.com/mutonby/openshorts

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 get-started

README.md
[![agentmods](https://agentmods.dev/badge/skills/mutonby/openshorts/get-started/github.svg)](https://agentmods.dev/skills/mutonby/openshorts/get-started)
Your own site
<a href="https://agentmods.dev/skills/mutonby/openshorts/get-started"><img src="https://agentmods.dev/badge/skills/mutonby/openshorts/get-started/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 get-started

Your own site · 80×15
<a href="https://agentmods.dev/skills/mutonby/openshorts/get-started"><img src="https://agentmods.dev/badge/skills/mutonby/openshorts/get-started.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 658 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin fork From a forked repository.
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 $0.00085 $0.00658
Opus 5.5 $0.00034 $0.00263
Sonnet 5.5 $0.00017 $0.00132
Haiku 4.5 $0.00009 $0.00066

Measured today against content hash 4451fc220c4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

get-started 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 today.

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.

integrations/chatgpt-app/plugin/skills/get-started/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenShorts: long video to vertical clips

OpenShorts downloads, transcribes and analyses the video on its own servers, picks the strongest moments and renders 15-60 s vertical clips with word-by-word captions and an AI-written title. A job takes minutes.

The flow

  1. Rights first. The user must own the video or hold the rights. Ask once, then pass confirm_rights=true to process_video.
  2. Submit. Give process_video the link exactly as the user wrote it. Do not open, search, summarise or transcribe the URL yourself: you cannot reach the video and it is not needed. For a file the user shares, call create_upload and follow its instructions, then pass upload_id.
  3. Wait. Poll get_job_status every 30-60 s until completed or failed. Tell the user it takes a few minutes; do not invent progress.
  4. Show. Call list_clips and present each clip with its title.

Options worth setting only when asked

  • target_clips (1-15): a target, not a guarantee. Leave it unset by default.
  • clip_min_seconds / clip_max_seconds: default 15 and 60; the max must be at least 5 s above the min.
  • auto_hook=false removes the title burned over the first seconds.
  • captions=false when the source already has burned-in subtitles.

After the clips exist

  • Captions: add_subtitles with a preset or a style (karaoke, one word at a time, highlight colour, font, size).
  • Re-cut: recut_clip with segments in seconds of the ORIGINAL video. It replaces the clip's current render, so confirm with the user first.
  • Publish: publish_clip only when the user explicitly asks, to the platforms they name. TikTok lands as a draft in the TikTok app; Instagram and YouTube publish directly. Use scheduled_date (ISO-8601) to schedule.

Minutes and limits

Processing uses minutes from the user's OpenShorts account. Call get_quota before long videos. If a tool returns quota_exceeded or no_plan, tell the user and give them the upgrade_url it returns; never retry in a loop.

Read the full file on GitHub · 52 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. today First seen · 52 lines · 85 tokens per session scan A 4451fc220c4e

Subscribe to this mod's changes

get-started is a skill published in the GitHub repository mutonby/openshorts (6,713 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 658 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It comes from a forked repository.

Creative and mediaclip-generatoropen-sourceshortstiktokugc-platformvideo-editing
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