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 fitness-wellnessgit 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/fitness-wellness)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/fitness-wellness"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/fitness-wellness/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/fitness-wellness"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/fitness-wellness.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 | $0.00022 | $0.00705 |
| Opus 5 | $0.00011 | $0.00352 |
| Sonnet 5 | $0.00004 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
fitness-wellness 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.
Fitness & Wellness Animation Principles
Apply Disney's 12 principles to create motivating, energizing experiences that celebrate achievement and support healthy habits.
The 12 Principles Applied
1. Squash & Stretch
- Workout Buttons: Energetic squash on tap
- Progress Rings: Pulse with achievement
- Activity Icons: Bounce with completion
2. Anticipation
- Workout Start: Countdown builds energy
- Timer Begin: Ready-set-go sequence
- Goal Completion: Suspenseful approach
3. Staging
- Current Exercise: Full focus on active movement
- Stats Display: Supporting role during workout
- Rest Periods: Recovery metrics highlighted
4. Straight Ahead & Pose to Pose
- Live Workouts: Continuous timer flow (straight ahead)
- Exercise Sequence: Move-by-move progression (pose to pose)
- Meditation Guides: Defined breathing phases
5. Follow Through & Overlapping Action
- Workout Complete: Badge lands, then stats appear
- Calorie Counter: Numbers settle with follow-through
- Activity Rings: Animate sequentially with overlap
6. Slow In & Slow Out
- High Energy Moments: Quick, punchy timing
- Recovery/Meditation: Slow, calming easing
- Transitions: Match current activity intensity
7. Arc
- Progress Circles: Smooth arc completion
- Running Routes: Curved path visualization
- Gesture Controls: Natural arced movements
8. Secondary Action
- Goal Hit: Fireworks while achievement saves
- Personal Record: Crown appears with celebration
- Streak Maintained: Fire burns while counter updates
9. Timing
- Intense Moments: Fast 100-150ms for energy
- Mindfulness: Slow 500-700ms for calm
- Standard UI: Moderate 200-300ms
10. Exaggeration
- Celebrate Big: Fitness thrives on motivation
- Personal Records: Dramatic achievement reveals
- Streak Milestones: Memorable celebrations
11. Solid Drawing
- Body Mechanics: Accurate movement demonstrations
- Data Visualization: Clear, readable metrics
- Exercise Illustrations: Proper form representation
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 · 22 tokens per session scan A ee3501dc1e1c
fitness-wellness is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 22 tokens to every session and 705 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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