kinocut-repurpose

kinocut-repurpose is a skill for Codex from KyaniteLabs/kinocut. It costs 37 tokens per session (977 once invoked), scanned A, original, Apache-2.0.

A workflow for turning one local video file into a short clip package for platforms such as YouTube Shorts, Instagram Reels, and TikTok. It uses the available Kinocut tools and produces review materials and manifests.

In plain words
What is it for?
Use it to inspect a video, plan and create a short clip, generate subtitles or thumbnails, resize or normalize the media, and review the resulting package before approval.
Why use it?
It organizes the clip-making process into a plan, production step, quality checks, and human approval. This helps prevent unsupported publishing or processing steps from being assumed.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit Use it to inspect a video, plan and create a short clip, generate subtitles or thumbnails, resize or normalize the media, and review the resulting package before approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kyanitelabs/kinocut/kinocut-repurpose
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 KyaniteLabs/kinocut --skill kinocut-repurpose
Clone the repo
git clone --depth 1 https://github.com/KyaniteLabs/kinocut

Made for: 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 kinocut-repurpose

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/kyanitelabs/kinocut/kinocut-repurpose"><img src="https://agentmods.dev/badge/skills/kyanitelabs/kinocut/kinocut-repurpose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 977 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 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 Agent Snooping · line 18
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium MCP Rug Pull · line 24
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
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 $0.00037 $0.00977
Opus 5 $0.00018 $0.00489
Sonnet 5 $0.00007 $0.00195
Haiku 4.5 $0.00004 $0.00098

Measured 12d ago against content hash 49a901a9c79b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

kinocut-repurpose 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.

skills/kinocut-repurpose/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kinocut Repurpose

This is a pre-kernel, path-based v1 skill. It guides an agent to produce a good short clip from one local video using only shipped Kinocut tools. Do not invent commands, providers, kernels, schedulers, uploaders, or publishing steps.

Install

From a checkout of this repository, install the skill into a Claude Code-compatible host that discovers local path skills:

mkdir -p .claude/skills && cp -R skills/kinocut-repurpose .claude/skills/kinocut-repurpose

Configure the Kinocut MCP server separately when MCP tools are available:

claude mcp add kinocut -- uvx --from kinocut kino

For CLI-only hosts, install and verify Kinocut:

pip install kinocut
kino doctor

Current Tools

Use these shipped surfaces only:

  • MCP: video_repurpose_plan, then video_repurpose.
  • CLI: repurpose-plan, then repurpose.
  • Optional support tools when needed: info, video-ai-transcribe, generate-subtitles, subtitles, resize, normalize-audio, thumbnail, storyboard, video-quality-check.

Useful CLI shape:

kino --format json info input.mp4
kino repurpose-plan input.mp4 --platforms youtube-shorts instagram-reel tiktok -o repurpose-out
kino repurpose input.mp4 --platforms youtube-shorts instagram-reel tiktok -o repurpose-out --min-score 0
kino video-quality-check repurpose-out/youtube_shorts.mp4

Required Flow

  1. Inspect the source path first with info or video_info. Confirm duration, resolution, aspect, and audio presence.
  2. Choose one short-clip intent and two or three platforms. Prefer youtube-shorts, instagram-reel, and tiktok for vertical clips unless the user explicitly asks for horizontal or square.
  3. Run repurpose-plan / video_repurpose_plan before rendering. Review the repurpose_manifest.json for platform outputs, aspect ratios, target LUFS, max duration, and planned review artifacts.
  4. Render with repurpose / video_repurpose only after the plan is plausible.
  5. Inspect the rendered manifest, thumbnails, storyboards, and release checkpoint output.
  6. Stop at human review. Do not publish, schedule, upload, or claim final approval.

Read the full file on GitHub · 101 lines

Files

What ships with it

1 file 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 · 101 lines · 37 tokens per session scan A 49a901a9c79b

Subscribe to this mod's changes

kinocut-repurpose is a skill published in the GitHub repository KyaniteLabs/kinocut (144 stars, last pushed 3d ago), licensed Apache-2.0. It adds 37 tokens to every session and 977 once invoked, about $0.0002 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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