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 appeal-masterygit 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/appeal-mastery)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/appeal-mastery"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/appeal-mastery/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/appeal-mastery"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/appeal-mastery.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 | $0.00031 | $0.01056 |
| Opus 5 | $0.00015 | $0.00528 |
| Sonnet 5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
appeal-mastery 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Appeal Mastery
The Magnetism Principle
Appeal is the quality that makes audiences want to watch. It's not about prettiness—villains need appeal too. It's about charisma, clarity, and design excellence that draws the eye and holds attention. Without appeal, technically perfect animation falls flat. With appeal, even simple motion becomes captivating.
Core Theory
Appeal ≠ Attractiveness: Appeal means compelling, not beautiful. A well-designed monster is appealing. A poorly designed hero is not. Appeal is about magnetic presence.
Clarity creates appeal: Audiences are drawn to what they can easily read and understand. Confused design repels attention.
Personality creates appeal: Distinctive character—whether in characters, objects, or UI elements—creates memorability and affection.
The Appeal Formula
Clarity (readable design and motion) × Distinctiveness (unique, memorable qualities) × Consistency (reliable personality and behavior) × Polish (refined execution without roughness) = Appeal
Components of Appeal
Shape language: Appealing designs use deliberate shape vocabulary
- Circles/curves: Friendly, approachable, soft
- Squares/rectangles: Stable, trustworthy, grounded
- Triangles/angles: Dynamic, dangerous, exciting
Proportional interest: Varied proportions create visual interest
- Contrast in sizes (big head, small body)
- Asymmetry within balance
- Unexpected combinations
Simplicity: Appealingly designed elements are as simple as possible while maintaining distinctiveness
Motion Appeal
Animation adds temporal appeal through:
- Distinctive timing: Signature rhythms that feel characteristic
- Personality in movement: How something moves reveals what it is
- Satisfying arcs: Pleasing motion paths
- Confident execution: Decisive, not tentative motion
Interaction with Other Principles
Solid drawing enables appeal: Poorly constructed forms can't be appealing.
Staging presents appeal: Even appealing designs fail with poor staging.
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 · 116 lines · 31 tokens per session scan A d4cf24a4b20b
appeal-mastery is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 31 tokens to every session and 1,056 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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