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 deliberate-1200-2000msgit 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/deliberate-1200-2000ms)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/deliberate-1200-2000ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/deliberate-1200-2000ms/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/deliberate-1200-2000ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/deliberate-1200-2000ms.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 | $0.00038 | $0.00818 |
| Opus 5 | $0.00019 | $0.00409 |
| Sonnet 5 | $0.00008 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
deliberate-1200-2000ms 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 9d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deliberate Animations (1200-2000ms)
At 1200-2000ms, you're creating experiences, not interfaces. This duration is for moments of genuine storytelling where animation itself is the content.
Disney Principles at Deliberate Speed
Full Narrative Expression
Squash & Stretch: Character-defining - 30-40% deformation creates personality. Objects become characters.
Anticipation: Full dramatic preparation - 300-400ms wind-up creates tension and expectation.
Staging: Scene direction - think cinematography. Establish shot, then detail. Clear narrative flow.
Straight Ahead/Pose to Pose: Pose to pose mandatory - 6-10 key poses define the narrative arc.
Follow Through: Extended settling - 300-500ms of secondary motion after primary completes.
Slow In/Slow Out: Narrative pacing - ease curves tell emotional stories. Sharp starts mean urgency, soft ends mean resolution.
Arcs: Orchestrated paths - motion paths are designed, not default. Each element's trajectory contributes to composition.
Secondary Action: Full ecosystem - primary, secondary, tertiary, ambient all working together.
Timing: 72-120 frames at 60fps. Animation-quality frame counts.
Exaggeration: Emotional amplification - push for feeling, not just movement.
Solid Drawing: Dimensional storytelling - parallax, depth, perspective shifts create space.
Appeal: Deep emotional engagement - users feel something during these animations.
Easing Recommendations
/* Narrative arc - beginning, middle, end */
animation-timing-function: cubic-bezier(0.34, 0, 0.14, 1);
/* Graceful, considered motion */
transition: all 1500ms cubic-bezier(0.16, 1, 0.3, 1);
/* Building momentum */
transition: all 1800ms cubic-bezier(0.65, 0, 0.35, 1);
/* Elastic storytelling */
transition: transform 1600ms cubic-bezier(0.68, -0.6, 0.32, 1.6);
Best Use Cases
- App splash/launch sequences
- Brand moments
- Tutorial narratives
- Achievement celebrations
- Milestone animations
- Emotional state changes (error to success)
- Story-driven onboarding
- Feature announcements
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.
- 9d ago First seen · 106 lines · 38 tokens per session scan A 3d5144873bfa
deliberate-1200-2000ms is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 38 tokens to every session and 818 once invoked, about $0.0002 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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