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 brand-marketinggit 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/brand-marketing)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/brand-marketing"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/brand-marketing/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/brand-marketing"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/brand-marketing.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 | $0.00025 | $0.01148 |
| Opus 5 | $0.00013 | $0.00574 |
| Sonnet 5 | $0.00005 | $0.00230 |
| Haiku 4.5 | $0.00003 | $0.00115 |
Grade A, and why
brand-marketing 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 13d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Marketing Animation
Apply Disney's 12 animation principles to commercials, advertisements, brand identity, and marketing content.
Quick Reference
| Principle | Brand/Marketing Implementation |
|---|---|
| Squash & Stretch | Product bounce, logo elasticity |
| Anticipation | Build-up to reveal, suspense |
| Staging | Product hero shots, focal control |
| Straight Ahead / Pose to Pose | Story flow vs key moments |
| Follow Through / Overlapping | Logo elements settle, tagline delay |
| Slow In / Slow Out | Dramatic reveals, smooth motion |
| Arc | Sweeping camera, product arcs |
| Secondary Action | Environment responds to product |
| Timing | Match brand energy, music sync |
| Exaggeration | Brand personality amplification |
| Solid Drawing | Consistent brand identity in motion |
| Appeal | Memorable, emotionally resonant |
Principle Applications
Squash & Stretch: Products can bounce on landing for energy. Logo elements stretch during reveals. Text can have elastic emphasis. Match brand personality—luxury minimal, playful bouncy.
Anticipation: Build suspense before product reveal. Pause before tagline appears. Sound design wind-up precedes visual payoff. Create expectation, then deliver.
Staging: Product is always the hero. Lighting directs to focal point. Background supports, never competes. Clear visual hierarchy every frame.
Straight Ahead vs Pose to Pose: Story-driven commercials flow naturally (straight ahead energy). Key reveal moments are precisely posed. Blend both—flow to moments of impact.
Follow Through & Overlapping: Logo elements settle at different rates. Tagline appears after logo lands. Product features animate in sequence. Creates natural, alive feeling.
Slow In / Slow Out: Dramatic reveals use long ease-in. Impact moments snap. Premium brands use slower, more deliberate timing. Energetic brands use faster, snappier easing.
Arc: Camera movements sweep in arcs. Products tumble naturally. Logo elements flow, don't snap. Text can follow curved paths for dynamism.
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.
- 13d ago First seen · 133 lines · 25 tokens per session scan A 37276be7c556
brand-marketing is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 25 tokens to every session and 1,148 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 2026-08-30.
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