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 dylantarre/animation-principles --skill friendliness-approachabilitygit clone --depth 1 https://github.com/dylantarre/animation-principlesWrote 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/dylantarre/animation-principles/friendliness-approachability)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/friendliness-approachability"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/friendliness-approachability/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/dylantarre/animation-principles/friendliness-approachability"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/friendliness-approachability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00024 | $0.00788 |
| Opus 5 | $0.00012 | $0.00394 |
| Sonnet 5 | $0.00005 | $0.00158 |
| Haiku 4.5 | $0.00002 | $0.00079 |
Grade A, and why
friendliness-approachability 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Friendliness & Approachability Animation
Create animations that welcome users and make interfaces feel warm and inviting.
Emotional Goal
Friendliness comes from gentle, welcoming motion that doesn't intimidate. Approachability means animations that invite interaction and make users feel comfortable.
Disney Principles for Friendliness
Squash & Stretch
Moderate, soft deformation (10-20%). Enough to feel alive without being cartoonish. Like a friendly handshake—warm but appropriate.
Anticipation
Gentle preparation (100-150ms). Friendly motion telegraphs intention without startling. A small "hello" before action.
Staging
Open, inviting compositions. Elements arranged to welcome, not confront. Clear pathways into the interface.
Straight Ahead Action
Light spontaneity for personality. Subtle variations that feel human and approachable rather than mechanical.
Follow Through & Overlapping Action
Soft, natural settling. A gentle bounce or two. Like a friend sitting down beside you—relaxed, not rigid.
Slow In & Slow Out
Smooth, approachable curves. No sharp accelerations. ease-out for welcoming entrances that arrive gently.
Arc
Natural, relaxed curves. Motion that feels human—not robotic straight lines, not exaggerated bounces.
Secondary Action
Warm supporting gestures. A subtle wave, a gentle nod. Elements acknowledge user presence.
Timing
Moderate, comfortable (200-350ms). Not rushed, not sluggish. Conversational pacing that feels natural.
Exaggeration
Mild (10-20%). Enough personality to feel warm without being overwhelming. Relatable, not theatrical.
Solid Drawing
Soft, rounded forms. Approachable proportions. Nothing sharp or intimidating.
Appeal
Warm colors, rounded corners. Friendly faces when appropriate. Inviting, accessible aesthetics.
Timing Recommendations
| Element | Duration | Easing |
|---|---|---|
| Welcome fade | 250-350ms | ease-out |
| Slide in | 300-400ms | ease-out |
| Hover response | 150-200ms | ease-out |
| Expand/reveal | 250-350ms | ease-in-out |
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 · 110 lines · 24 tokens per session scan A 627611e3c9b2
friendliness-approachability is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 788 once invoked, about $0.0001 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 2026-09-03.
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