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 OneWave-AI/claude-skills --skill animategit clone --depth 1 https://github.com/OneWave-AI/claude-skillsWrote 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/onewave-ai/claude-skills/animate)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/animate"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/animate/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/onewave-ai/claude-skills/animate"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/animate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 37 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00055 | $0.01357 |
| Opus 5 | $0.00028 | $0.00678 |
| Sonnet 5 | $0.00011 | $0.00271 |
| Haiku 4.5 | $0.00006 | $0.00136 |
Grade A, and why
animate 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 11d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animation Generator
Create animated videos and motion graphics from a natural language description. Outputs a standalone Vite + React + Framer Motion project that plays in the browser.
Workflow
Step 1: Parse the Request
Break the user's description into a scene plan:
- 3-7 scenes, each 3-5 seconds long
- Identify the story arc: hero/intro, problem, solution, features, CTA/outro
- Pick a color palette and typography that fits the brand/mood
- Use
$ARGUMENTSfor the user's animation description
Step 2: Choose the Animation Stack
Auto-detect the best approach based on the request:
| Request Type | Stack | When to Use |
|---|---|---|
| Product intro, presentation, marketing | Framer Motion (default) | Scene-based with text, icons, transitions |
| Generative art, particles, patterns | p5.js | Creative/algorithmic visuals |
| 3D objects, environments, product renders | Three.js + react-three-fiber | 3D scenes needed |
| Simple text/logo animation | CSS animations only | Minimal, no heavy deps |
Default to Framer Motion unless the request clearly needs something else.
Step 3: Scaffold the Project
- Create a directory:
~/animations/[project-name]/ - Run the scaffold script:
bash ~/.claude/skills/animate/scripts/scaffold.sh [project-name] [stack] - Copy template files from
~/.claude/skills/animate/assets/template-files/into the project
Step 4: Generate Scene Components
Read the references for animation presets and scene patterns:
references/animation-presets.md— all available transitions, springs, easingsreferences/scene-patterns.md— example scene code patterns
For each scene, create a React component in client/src/components/video/video_scenes/:
- Use
motion.divwith scene transition presets (fadeBlur, scaleFade, slideLeft, splitHorizontal, morphExpand, etc.) - Use
containerVariantsanditemVariantsfor staggered content reveals - Use
vwunits for responsive sizing (works at any resolution) - Use CSS variables for theming (
var(--color-accent),var(--color-bg-dark), etc.) - Use Lucide icons for visual elements
- Use
.glass-panelclass for frosted glass cards - Use
.text-gradientand.text-gradient-accentfor gradient text
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.
- 11d ago First seen · 131 lines · 55 tokens per session scan A 5ee89ccea9d9
animate is a skill published in the GitHub repository OneWave-AI/claude-skills (288 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,357 once invoked, about $0.0003 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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