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 education-learninggit 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/education-learning)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/education-learning"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/education-learning/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/education-learning"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/education-learning.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 | $0.00021 | $0.00693 |
| Opus 5 | $0.00010 | $0.00347 |
| Sonnet 5 | $0.00004 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
education-learning 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 8d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Education & Learning Animation Principles
Apply Disney's 12 principles to create engaging, encouraging experiences that support comprehension and celebrate progress.
The 12 Principles Applied
1. Squash & Stretch
- Answer Buttons: Friendly squash on selection
- Mascots/Characters: Personality through stretch
- Achievement Badges: Bounce with character
2. Anticipation
- Quiz Reveal: Build-up before showing results
- Next Lesson: Preparation for new content
- Submit Answer: Moment before feedback
3. Staging
- Learning Content: Primary focus always
- Progress Indicators: Visible but not distracting
- Interactive Elements: Clear call to action
4. Straight Ahead & Pose to Pose
- Video Lessons: Continuous playback (straight ahead)
- Course Progress: Step-by-step modules (pose to pose)
- Interactive Exercises: Defined question states
5. Follow Through & Overlapping Action
- Correct Answer: Checkmark lands, then celebration
- Lesson Cards: Stack with natural follow-through
- Points Counter: Numbers settle after update
6. Slow In & Slow Out
- Gentle Transitions: Nothing jarring while learning
- Content Reveals: Comfortable pacing
- Modal Opens: Smooth 300-400ms
7. Arc
- Progress Paths: Curved learning journeys
- Drag Answers: Natural arc to drop zones
- Reward Animations: Confetti follows arcs
8. Secondary Action
- XP Gained: Sparkles while points update
- Streak Maintained: Fire animation with counter
- Level Up: Background effects with main celebration
9. Timing
- Feedback: Quick 150-200ms for responsiveness
- Celebrations: Longer 500-800ms for motivation
- Transitions: Moderate 300-400ms for clarity
10. Exaggeration
- Celebrate Success: Big positive reinforcement
- Gentle on Errors: Never discouraging
- Milestones: Mark achievements memorably
11. Solid Drawing
- Illustrations: Friendly, consistent art style
- Diagrams: Clear educational visuals
- Icons: Approachable, not intimidating
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.
- 8d ago First seen · 84 lines · 21 tokens per session scan A cefffbae199a
education-learning is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 21 tokens to every session and 693 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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