h3-pop-art-split-screen-motion

h3-pop-art-split-screen-motion is a skill for Codex from linkprint/local-ai-movie-workspace. It costs 72 tokens per session (751 once invoked), scanned A, original, MIT.

A prompt-writing guide for MiniMax H3, a video-generation model, focused on energetic pop-art videos divided into moving panels. It covers product-focused scenes with painted textures, strong colors, and cuts timed to music.

In plain words
What is it for?
Use it for short promotional videos featuring products such as shoes, fashion accessories, packaging, or graphic campaign artwork.
Why use it?
It helps turn product images and style references into detailed motion prompts while keeping the product’s appearance consistent. It also clarifies when to write prompts and when to render video.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it for short promotional videos featuring products such as shoes, fashion accessories, packaging, or graphic campaign artwork.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion
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 linkprint/local-ai-movie-workspace --skill h3-pop-art-split-screen-motion
Clone the repo
git clone --depth 1 https://github.com/linkprint/local-ai-movie-workspace

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 h3-pop-art-split-screen-motion

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion/github.svg)](https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion)
Your own site
<a href="https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion/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 h3-pop-art-split-screen-motion

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/h3-pop-art-split-screen-motion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 751 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 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 $0.00072 $0.00751
Opus 5 $0.00036 $0.00376
Sonnet 5 $0.00014 $0.00150
Haiku 4.5 $0.00007 $0.00075

Measured 12d ago against content hash 1eaf3b2bba91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

h3-pop-art-split-screen-motion 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.

images/workspace/admin-skills/h3-pop-art-split-screen-motion/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

H3 Pop Art Split Screen Motion

Use a dense living panel grid as the motion system while keeping every product silhouette, colorway, detail crop, and authorized brand element stable.

Route the Request

  • For prompt writing or refinement, return text only.
  • Read references/style-blueprint.md and use $h3-prompt-writing.
  • Invoke $h3-video-generation only when the user explicitly asks to render.
  • A product reference plus separate style references requires native Ref2VA. Put the product first, add style references in deterministic order, and bind every <Picture N> to product or graphic-treatment authority.
  • For the selected five-image impasto sneaker campaign, use the exact reference-role map and 15-second act structure in the reference file. Do not collapse the five images into one generic style reference.

Build the Motion System

  1. Assign each reference one independent role: hero silhouette/style, walking ensemble, alternate profile colorway, worn ankle detail, or glossy macro material detail. Ignore every unassigned property.
  2. Lock product construction, stripe or panel placement, sole, laces, colorway, crop, and painterly treatment before designing movement.
  3. For the selected recipe, use one coherent gouache/acrylic impasto system: flat saturated cobalt, marigold, coral, and cream fields; visible dry brush texture; thick painted outlines; no photorealism, gradients, or CGI sheen.
  4. Favor two-up and three-up simultaneous panels. Every product crop must snap, rotate, stride, flash, or reconfigure; no static full-frame hold longer than one second except the final lockup.
  5. Follow the act density from the reference file: flash grid, panel slam, freeze-stutter, razor slice, two-up swaps, radial panel spin, frame-in-frame, three-panel montage, final single-color lockup.
  6. Keep every panel's view compatible with its assigned reference. Never replace the hero with the alternate shell-toe silhouette or invent an extra colorway.
  7. Synchronize every split, slam, spin, swap, and freeze to an original retro-funk commercial cue plus restrained whooshes and impacts.
  8. If an exact brand wordmark or logo is requested, use it only when the user supplied or authorized that asset. Show it once in the final lockup, perfectly stable and separate from the product. Otherwise use an original unbranded lockup.

Read the full file on GitHub · 38 lines

Files

What ships with it

2 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 · 38 lines · 72 tokens per session scan A 1eaf3b2bba91

Subscribe to this mod's changes

h3-pop-art-split-screen-motion is a skill published in the GitHub repository linkprint/local-ai-movie-workspace (1 stars, last pushed 14d ago), licensed MIT. It adds 72 tokens to every session and 751 once invoked, about $0.0004 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 2026-08-31.

Related

Other skills, from other repositories

tape-opens

Stack-unwind review of this conversation - a tree of main tasks done (struck through) and every open left behind at the depth it was abandoned, sized by the thread's measured shape, never by feel. Optional argument - a .jsonl path or session id to review a different session.

enricoros/big-AGI · 60 tokens

higgsfield

Use this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Sora 2, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema…

OSideMedia/higgsfield-ai-prompt-skill · 147 tokens

higgsfield-troubleshoot

Use when a Higgsfield generation fails, produces poor quality, looks wrong, doesn't match the prompt, or the user needs to fix or improve an output.

OSideMedia/higgsfield-ai-prompt-skill · 39 tokens

higgsfield-mixed-media

Use when the user asks about Mixed Media, wants to apply artistic preset styles to an image (Noir, Sketch, Paper, Canvas, Particles, Neon, etc.), combine multiple artistic treatments, or create stylized non-photorealistic outputs.

OSideMedia/higgsfield-ai-prompt-skill · 59 tokens

higgsfield-motion-design

End-to-end motion-design / animated-ad creation flow on Higgsfield via the MCP connector. Use when the user wants to create motion design, animate a logo, make a video from an image, build an animated ad or brand promo, turn a product into motion, or says 'make a motion', 'motion design', 'animate this', 'make a video…

OSideMedia/higgsfield-ai-prompt-skill · 199 tokens

higgsfield-vibe-motion

Use when the user asks about Vibe Motion, motion graphics, kinetic typography, animated text, brand animations, logo animations, infographic animation, presentation animation, data-driven video, or prompt-to-motion-graphic workflows. Vibe Motion is fundamentally different from video generation — it creates…

OSideMedia/higgsfield-ai-prompt-skill · 120 tokens