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 fintech-bankinggit 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/fintech-banking)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/fintech-banking"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/fintech-banking/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/fintech-banking"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/fintech-banking.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 | $0.00739 |
| Opus 5 | $0.00011 | $0.00369 |
| Sonnet 5 | $0.00004 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
fintech-banking 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.
Fintech & Banking Animation Principles
Apply Disney's 12 principles to create trustworthy, secure-feeling experiences that handle money with appropriate gravitas.
The 12 Principles Applied
1. Squash & Stretch
- Restrained Use: Money is serious, avoid playful squash
- Number Counters: Subtle stretch as values update
- Card Flip: Slight flex when revealing card details
2. Anticipation
- Transaction Submit: Brief pause before processing
- Balance Updates: Moment of preparation before reveal
- Security Checks: Visual preparation for verification steps
3. Staging
- Balance First: Account balance is hero element
- Transaction Flow: Clear focus on current step
- Security Badges: Prominent but not distracting
4. Straight Ahead & Pose to Pose
- Money Transfers: Clear step-by-step (pose to pose)
- Live Prices: Continuous smooth updates (straight ahead)
- Transaction History: Sequential reveal on scroll
5. Follow Through & Overlapping Action
- Payment Success: Checkmark lands, then amount confirms
- Dashboard Load: Balance first, then cards, then transactions
- Charts: Axis appears, then data animates in
6. Slow In & Slow Out
- All Financial Actions: Smooth, deliberate easing
- Card Animations: Premium feel with ease-in-out
- Modal Transitions: Confident 300-400ms movements
7. Arc
- Money Flow: Visualize transfers with curved paths
- Spending Charts: Smooth arcs in pie/donut charts
- Card Selection: Arc motion between cards
8. Secondary Action
- Transfer Success: Subtle checkmark while balance updates
- Bill Paid: Confetti-lite while confirmation appears
- Investment Gain: Green glow during number update
9. Timing
- Standard Actions: 250-350ms for confident feel
- Security Verification: Deliberate 400-500ms
- Quick Feedback: 150ms for input validation
10. Exaggeration
- Very Minimal: Financial data requires accuracy
- Success Moments: Slight emphasis on positive outcomes
- Fraud Alerts: Appropriate urgency, not alarm
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 90962ecf9391
fintech-banking 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 739 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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