hero-pixel-rain

hero-pixel-rain is a skill for Claude Code, Codex from Unclecheng-li/AI_Animation. It costs 0 tokens per session (121 once invoked), scanned A, original, MIT.

An animated field of square pixels falling in columns on one side of a frame, leaving room for a title on the other side.

In plain words
What is it for?
Use it in developer or AI product hero sections and in examples that teach multi-track animation.
Why use it?
It adds a controlled technology-themed background without distracting particle noise or covering the text.

Skill for Claude CodeCodex

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

Good fit Use it in developer or AI product hero sections and in examples that teach multi-track animation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/unclecheng-li/ai_animation/hero-pixel-rain
About the project

AI Animation Skills is a collection of agent instructions and templates for generating single-file HTML animations, including presentations, diagrams, protocol visualizations, phone interfaces, and video-style scenes. People use the skills with AI coding agents to create animated web pages from descriptions or templates. The catalogue entries are the collection's individual generation workflows.

Unclecheng-li/AI_Animation · 1,596 stars · on GitHub

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 Unclecheng-li/AI_Animation --skill hero-pixel-rain
Clone the repo
git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation

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 hero-pixel-rain

README.md
[![agentmods](https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/hero-pixel-rain/github.svg)](https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-pixel-rain)
Your own site
<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-pixel-rain"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/hero-pixel-rain/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 hero-pixel-rain

Your own site · 80×15
<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-pixel-rain"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/hero-pixel-rain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 121 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 $0.00000 $0.00121
Opus 5.5 $0.00000 $0.00048
Sonnet 5.5 $0.00000 $0.00024
Haiku 4.5 $0.00000 $0.00012

Measured 16d ago against content hash 9b2304c38fd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hero-pixel-rain 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 16d 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/ui2v-motions/01_动效库/itelmn/hero-pixel-rain/SKILL.md · 23 lines

What it actually says

Hero Pixel Rain

Columns of square pixels fall on the right half of the frame while the title holds the left. It is a matrix-inspired atmosphere piece without noisy particles.

Purpose

  • Developer and AI product heroes
  • Teaching multi-track column animation
  • Registry content with strong silhouette

Specs

  • Ten columns, deterministic fall distances
  • 1920x1080, 4.5 seconds

Usage

npx ui2v@latest install hero-pixel-rain then preview.

Notes

Columns stay on the right so type never collides with the rain field.

Files

What ships with it

6 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. 16d ago First seen · 23 lines · 0 tokens per session scan A 9b2304c38fd5

Subscribe to this mod's changes

hero-pixel-rain is a skill published in the GitHub repository Unclecheng-li/AI_Animation (1,596 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 121 tokens. 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 2026-10-06.

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