recut-directing-platform

recut-directing-platform is a skill for Claude Code, Codex from 6174/recut. It costs 52 tokens per session (3,872 once invoked), scanned A, original, GPL-3.0.

A distribution framework for deciding who a video is for and what requirements apply on each platform. It covers aspect ratio, duration, safe areas, review restrictions, and publishing rules.

In plain words
What is it for?
Use it to prepare videos for multiple platforms and check their dimensions, length, protected screen areas, and publishing risks.
Why use it?
It reduces problems caused by using the wrong format or breaking a platform's content and review requirements.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to prepare videos for multiple platforms and check their dimensions, length, protected screen areas, and publishing risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/6174/recut/recut-directing-platform
View source ↗ 6174/recut
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 6174/recut --skill recut-directing-platform
Clone the repo
git clone --depth 1 https://github.com/6174/recut

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 recut-directing-platform

README.md
[![agentmods](https://agentmods.dev/badge/skills/6174/recut/recut-directing-platform/github.svg)](https://agentmods.dev/skills/6174/recut/recut-directing-platform)
Your own site
<a href="https://agentmods.dev/skills/6174/recut/recut-directing-platform"><img src="https://agentmods.dev/badge/skills/6174/recut/recut-directing-platform/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 recut-directing-platform

Your own site · 80×15
<a href="https://agentmods.dev/skills/6174/recut/recut-directing-platform"><img src="https://agentmods.dev/badge/skills/6174/recut/recut-directing-platform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,872 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 unknown 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 $0.00052 $0.03872
Opus 5 $0.00026 $0.01936
Sonnet 5 $0.00010 $0.00774
Haiku 4.5 $0.00005 $0.00387

Measured 12d ago against content hash 7f6dc7f2de73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

recut-directing-platform 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 12d 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.

service/skills/recut-directing-platform/SKILL.md · 130 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

5 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 · 130 lines · 52 tokens per session scan A 7f6dc7f2de73

Subscribe to this mod's changes

recut-directing-platform is a skill published in the GitHub repository 6174/recut (33 stars, last pushed 2d ago), licensed GPL-3.0. It adds 52 tokens to every session and 3,872 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

video-recap

An end-to-end workflow for turning a video into a Chinese narrated recap. It coordinates video analysis, story planning, editing, voice generation, and final audio and subtitle assembly.

zenstory-ai/video-recap-skills · 128 tokens

video-script

A Chinese-language video editing and narration workflow that plans the story, selects clips, assigns visuals and sound, writes timestamped narration, and validates the result.

zenstory-ai/video-recap-skills · 154 tokens

video-assemble

A video finishing tool that combines a source video with recorded narration, adjusted original sound, and subtitles. It can create subtitle files, burn them into the video, and optionally standardise loudness.

zenstory-ai/video-recap-skills · 109 tokens

video-cut

A video-editing skill that turns selected time ranges from a long source video into a shorter video. It follows decisions recorded in a clip plan and can also map an existing narration timeline to the edited result.

zenstory-ai/video-recap-skills · 119 tokens

video-understanding

A video analysis tool that turns a video into a structured index of scenes, spoken words, visual observations, quiet sections, and a writing brief. ASR means automatic speech recognition, which converts speech in the video into timestamped text.

zenstory-ai/video-recap-skills · 126 tokens

video-voiceover

A text-to-speech tool that turns a timestamped narration script into separate Chinese voice clips and places them within the video's timeline. Text-to-speech means generating spoken audio from written words.

zenstory-ai/video-recap-skills · 136 tokens