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.
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.
npx skills add Unclecheng-li/AI_Animation --skill hero-deploy-pipelinegit clone --depth 1 https://github.com/Unclecheng-li/AI_AnimationWrote 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.
[](https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-deploy-pipeline)<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-deploy-pipeline"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/hero-deploy-pipeline/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.
<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/hero-deploy-pipeline"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/hero-deploy-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00140 |
| Opus 5.5 | $0.00000 | $0.00056 |
| Sonnet 5.5 | $0.00000 | $0.00028 |
| Haiku 4.5 | $0.00000 | $0.00014 |
Grade A, and why
hero-deploy-pipeline 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.
What it actually says
Hero Deploy Pipeline
Four CI stages (Lint → Test → Build → Deploy) turn green with connecting rails. Function: ship / CI success / release.
Purpose
- DevOps, release, and platform reliability heroes
- Sequential stage pass + connector fills
- Night ops chrome with emerald success
Specs
- Each stage: queued → running → passed
- Connectors fill after each pass
- Entry:
index.html
Usage
npx hyperframes preview
ui2v motion publish . --version 1.0.0
Notes
Keep stage copy short — long status lines wrap inside the 280px cards.
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.
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.
- 16d ago First seen · 27 lines · 0 tokens per session scan A cbc688a2534c
hero-deploy-pipeline 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 140 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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