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 presentationsgit 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/presentations)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/presentations"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/presentations/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/presentations"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/presentations.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 | $0.00023 | $0.01005 |
| Opus 5.5 | $0.00009 | $0.00402 |
| Sonnet 5.5 | $0.00005 | $0.00201 |
| Haiku 4.5 | $0.00002 | $0.00101 |
Grade A, and why
presentations 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 1mo 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Presentation Animation
Apply Disney's 12 animation principles to Keynote, PowerPoint, Google Slides, and presentation software.
Quick Reference
| Principle | Presentation Implementation |
|---|---|
| Squash & Stretch | Bounce emphasis, elastic scaling |
| Anticipation | Build sequences, pre-reveal fades |
| Staging | Focal point management, dimming |
| Straight Ahead / Pose to Pose | Morph vs discrete transitions |
| Follow Through / Overlapping | Staggered builds, delayed elements |
| Slow In / Slow Out | Ease animations, avoid linear |
| Arc | Motion paths, curved entrances |
| Secondary Action | Supporting graphics follow primary |
| Timing | Builds 0.3-0.5s, transitions 0.5-0.8s |
| Exaggeration | Emphasis effects, attention draws |
| Solid Drawing | Consistent alignment, visual balance |
| Appeal | Professional polish, purposeful motion |
Principle Applications
Squash & Stretch: Use bounce effect sparingly for playful emphasis. Scale animations should feel elastic not mechanical. Key numbers can "pop" with slight overshoot.
Anticipation: Fade out previous content before new appears. Slight pause after slide transition before builds begin. Dim existing elements before highlighting new ones.
Staging: One focal point per moment. Dim completed content to 30-50% opacity. Use motion to direct eye path. Build complex diagrams piece by piece.
Straight Ahead vs Pose to Pose: Morph transitions (Keynote Magic Move, PowerPoint Morph) create fluid straight-ahead motion. Standard builds are pose to pose. Use morph for transformation stories.
Follow Through & Overlapping: Build related items with 0.1-0.2s delays. Supporting text follows primary graphic. Bullet points stagger naturally. Don't animate everything simultaneously.
Slow In / Slow Out: Always use ease-in-out or ease-out. Never linear—looks robotic. Keynote: "Ease In & Out". PowerPoint: use custom motion paths with curve handles.
Arc: Motion paths should curve naturally. Elements entering from sides arc inward. Exit animations arc toward edges. Straight lines feel mechanical.
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.
- 1mo ago First seen · 97 lines · 23 tokens per session scan A 873fe71fb258
presentations is a skill published in the GitHub repository dylantarre/animation-principles (117 stars, last pushed 9mo ago), licensed MIT. It adds 23 tokens to every session and 1,005 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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