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 dynamic-archifygit 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/dynamic-archify)<a href="https://agentmods.dev/skills/unclecheng-li/ai_animation/dynamic-archify"><img src="https://agentmods.dev/badge/skills/unclecheng-li/ai_animation/dynamic-archify.svg" alt="Measured on agentmods" 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 | $0.00163 | $0.05947 |
| Opus 5 | $0.00081 | $0.02974 |
| Sonnet 5 | $0.00033 | $0.01189 |
| Haiku 4.5 | $0.00016 | $0.00595 |
Grade A, and why
dynamic-archify 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dynami-carchify Skill
Create professional technical diagrams as self-contained HTML files with inline SVG, a theme toggle, and a built-in image/SVG export menu.
Every diagram ships with a dark/light theme toggle (persists in localStorage, respects prefers-color-scheme), an export menu (copy PNG to clipboard; download PNG/JPEG/WebP rasterized natively at up to 4× resolution; download a dual-theme SVG that follows the embedding host's prefers-color-scheme — ideal for GitHub READMEs), and a CSS-variable color system that keeps both themes consistent.
Setup (one-time, renderer modes only)
The four typed renderers validate JSON against schemas via ajv. From this skill's folder:
npm install
Without it the renderers still run — they print a warning and skip schema validation, keeping their own layout checks. The generated HTML never has dependencies; only the renderers do.
If you have no shell access at all (e.g. the skill was added as project knowledge), fall back to architecture mode for every request: hand-place SVG into assets/template.html following the Design System below, and run the self-review checklist before delivering.
Choosing a Diagram Type
| Type | Use for | How |
|---|---|---|
architecture |
System components, cloud resources, services, security boundaries, infrastructure | renderers/architecture/render-architecture.mjs + JSON (or hand-place SVG when renderers can't run) |
workflow |
Technical flows, approval gates, tool calls, runbooks, CI/CD, incident response | renderers/workflow/render-workflow.mjs + JSON |
sequence |
API call chains, request lifecycles, cache fallback, async traces, return paths | renderers/sequence/render-sequence.mjs + JSON |
dataflow |
Pipelines, ETL/ELT, PII isolation, lineage, warehouse sync, consumers | renderers/dataflow/render-dataflow.mjs + JSON |
lifecycle |
State machines, status transitions, wait states, retries, terminal states | renderers/lifecycle/render-lifecycle.mjs + JSON |
What ships with it
54 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.
- assets/gif.js 13 KB runs code
- assets/gif.worker.js 16 KB runs code
- assets/template.html 101 KB
- examples/agent-run.lifecycle.json 3.4 KB
- examples/agent-tool-call.workflow.json 4.1 KB
- examples/ai-api-relay.json 6.2 KB
- examples/cache-miss-request.sequence.json 3.5 KB
- examples/product-analytics.dataflow.json 4.7 KB
- examples/qclaw-architecture.json 6.6 KB
- examples/web-app.architecture.json 2.9 KB
- LICENSE 1.1 KB
- output/ai-api-relay-test.html 57 KB
- output/ai-api-relay.html 53 KB
- output/qclaw-architecture-animated-v10.html 109 KB
- output/qclaw-architecture-animated-v11.html 109 KB
- output/qclaw-architecture-animated-v12.html 109 KB
- output/qclaw-architecture-animated-v2.html 68 KB
- output/qclaw-architecture-animated-v3.html 74 KB
- output/qclaw-architecture-animated-v4.html 74 KB
- output/qclaw-architecture-animated-v5.html 74 KB
- output/qclaw-architecture-animated-v6.html 74 KB
- output/qclaw-architecture-animated-v7.html 100 KB
- output/qclaw-architecture-animated-v8.html 103 KB
- output/qclaw-architecture-animated-v9.html 103 KB
- output/qclaw-architecture-animated.html 67 KB
- output/qclaw-architecture.html 59 KB
- package-lock.json 2.3 KB
- package.json 424 B
- README.md 4.4 KB
- renderers/architecture/render-architecture.mjs 14 KB runs code
- renderers/dataflow/README.md 3.0 KB
- renderers/dataflow/render-dataflow.mjs 13 KB runs code
- renderers/lifecycle/README.md 3.8 KB
- renderers/lifecycle/render-lifecycle.mjs 17 KB runs code
- renderers/sequence/README.md 3.0 KB
- renderers/sequence/render-sequence.mjs 14 KB runs code
- renderers/shared/cli.mjs 1.8 KB runs code
- renderers/shared/geometry.mjs 4.4 KB runs code
- renderers/shared/utils.mjs 3.8 KB runs code
- renderers/shared/validator.mjs 2.5 KB runs code
- renderers/workflow/README.md 3.0 KB
- renderers/workflow/render-workflow.mjs 14 KB runs code
- schemas/architecture.schema.json 3.2 KB
- schemas/common.schema.json 1.1 KB
- schemas/dataflow.schema.json 4.5 KB
- schemas/lifecycle.schema.json 5.0 KB
- schemas/README.md 3.2 KB
- schemas/sequence.schema.json 3.7 KB
- schemas/workflow.schema.json 4.6 KB
- test/degraded.test.mjs 6.3 KB runs code
- test/geometry.test.mjs 5.7 KB runs code
- test/golden.mjs 6.2 KB runs code
- test/layout-rules.test.mjs 6.6 KB runs code
- test/render-examples.mjs 1.1 KB runs code
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.
- 7d ago First seen · 366 lines · 163 tokens per session scan A 956ed4f4ca97
dynamic-archify is a skill published in the GitHub repository Unclecheng-li/AI_Animation (1,233 stars, last pushed 7d ago), licensed MIT. It adds 163 tokens to every session and 5,947 once invoked, about $0.0008 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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