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 power-confidencegit 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/power-confidence)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/power-confidence"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/power-confidence/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/power-confidence"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/power-confidence.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 | $0.00732 |
| Opus 5 | $0.00010 | $0.00366 |
| Sonnet 5 | $0.00004 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
power-confidence 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power & Confidence Animation
Create animations that convey strength, authority, and commanding presence.
Emotional Goal
Power comes from deliberate, controlled, weighty motion. Confidence means animations that know exactly where they're going and arrive with certainty.
Disney Principles for Power
Squash & Stretch
Minimal stretch, impactful squash. Heavy objects don't stretch—they compress on impact (10-15%). Weight and solidity over flexibility.
Anticipation
Deliberate, confident preparation (100-200ms). Not hesitation—gathering power. Like a predator before striking.
Staging
Dominant positioning. Large scale, center stage. Powerful elements command attention through presence, not motion.
Straight Ahead Action
Avoid. Power requires intention and control. Every movement should be deliberate, not spontaneous.
Follow Through & Overlapping Action
Controlled deceleration. Heavy elements don't bounce—they settle with authority. Short, decisive follow-through.
Slow In & Slow Out
Strong ease-out with sudden stops. Fast acceleration, decisive landing. cubic-bezier(0.0, 0, 0.2, 1) for powerful arrivals.
Arc
Direct paths preferred. Power takes the straightest route. When arced, low and driving—like a charging bull.
Secondary Action
Impactful ripples or shockwaves. When power lands, the environment responds. Subtle screen shake, radiating force.
Timing
Medium-fast with decisive endpoints (150-300ms). Not rushed, not leisurely. Purposeful velocity.
Exaggeration
Moderate (15-25%). Amplify impact, not movement. The landing matters more than the journey.
Solid Drawing
Heavy, grounded forms. Strong geometric shapes. Stability and mass in every frame.
Appeal
Bold, angular design. High contrast. Dark, saturated colors. Commanding presence.
Timing Recommendations
| Element | Duration | Easing |
|---|---|---|
| Entrance | 200-300ms | ease-out |
| Impact | 100-150ms | ease-out |
| Settle | 150-200ms | ease-out |
| Transition | 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 · 104 lines · 21 tokens per session scan A 8d230415b3b5
power-confidence 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 732 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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