Borrowing it
Nothing to install: this file belongs to Aixbox/DesktopGo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Aixbox/DesktopGo/desktop/.agents/skills/animate/SKILL.mdgit clone --depth 1 https://github.com/Aixbox/DesktopGoWrote 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/aixbox/desktopgo/animate)<a href="https://agentmods.dev/skills/aixbox/desktopgo/animate"><img src="https://agentmods.dev/badge/skills/aixbox/desktopgo/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/aixbox/desktopgo/animate"><img src="https://agentmods.dev/badge/skills/aixbox/desktopgo/animate.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 | $0.00053 | $0.01759 |
| Opus 5.5 | $0.00021 | $0.00704 |
| Sonnet 5.5 | $0.00011 | $0.00352 |
| Haiku 4.5 | $0.00005 | $0.00176 |
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 today.
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.
This is a copy
95% identical to animate — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze a feature and strategically add animations and micro-interactions that enhance understanding, provide feedback, and create delight.
MANDATORY PREPARATION
Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: performance constraints.
Assess Animation Opportunities
Analyze where motion would improve the experience:
-
Identify static areas:
- Missing feedback: Actions without visual acknowledgment (button clicks, form submission, etc.)
- Jarring transitions: Instant state changes that feel abrupt (show/hide, page loads, route changes)
- Unclear relationships: Spatial or hierarchical relationships that aren't obvious
- Lack of delight: Functional but joyless interactions
- Missed guidance: Opportunities to direct attention or explain behavior
-
Understand the context:
- What's the personality? (Playful vs serious, energetic vs calm)
- What's the performance budget? (Mobile-first? Complex page?)
- Who's the audience? (Motion-sensitive users? Power users who want speed?)
- What matters most? (One hero animation vs many micro-interactions?)
If any of these are unclear from the codebase, ask the user directly to clarify what you cannot infer.
CRITICAL: Respect prefers-reduced-motion. Always provide non-animated alternatives for users who need them.
Plan Animation Strategy
Create a purposeful animation plan:
- Hero moment: What's the ONE signature animation? (Page load? Hero section? Key interaction?)
- Feedback layer: Which interactions need acknowledgment?
- Transition layer: Which state changes need smoothing?
- Delight layer: Where can we surprise and delight?
IMPORTANT: One well-orchestrated experience beats scattered animations everywhere. Focus on high-impact moments.
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.
- today First seen · 174 lines · 53 tokens per session scan A 70b6be1e085b
animate is a skill published in the GitHub repository Aixbox/DesktopGo (63 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 1,759 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to animate, differing in 7 lines, and is treated as a copy.
animate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| animateAixbox/DesktopGo | Skill | 63 | 2d ago | MIT | A | 53 | Claude Code, Codex |
| OpenSourceManagementdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 212 | Claude Code, Codex |
| Simplifydanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 196 | Claude Code, Codex |
| ratchet-filesdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 118 | Claude Code, Codex |
| recipe-front-reviewshinpr/claude-code-workflows | Skill | 711 | 4d ago | MIT | A | 29 | Claude Code |
| pr-description-writermohitagw15856/pm-claude-skills | Skill | 1.5k | yesterday | MIT | A | 80 | Claude Code, Codex |
| output-eval-error-analysisgrowthxai/output | Skill | 444 | 4d ago | Apache-2.0 | A | 38 | Claude Code |