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 emotional-disconnectgit 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/emotional-disconnect)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/emotional-disconnect"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/emotional-disconnect/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/emotional-disconnect"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/emotional-disconnect.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 | $0.00020 | $0.00685 |
| Opus 5 | $0.00010 | $0.00342 |
| Sonnet 5 | $0.00004 | $0.00137 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
emotional-disconnect 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Emotional Disconnect
Align animation emotion with context using Disney's principles.
Problem Indicators
- Animation feels "off" but hard to articulate
- Playful motion on serious content
- Sterile motion on warm content
- Users describe UI as cold/robotic or chaotic/annoying
- Mismatch between animation and message
Diagnosis by Principle
Appeal
Issue: Animation lacks emotional resonance Fix: Define the emotional goal. Warm = soft easing, overshoot. Professional = crisp, linear. Match motion to message.
Exaggeration
Issue: Wrong intensity for emotional context Fix: Serious contexts need restraint. Joyful contexts can be bouncy. Match exaggeration to emotional stakes.
Timing
Issue: Speed conflicts with emotional tone Fix: Calm emotions = slower. Excitement = faster. Tension = variable speed. Timing IS emotion.
Squash and Stretch
Issue: Elastic effects on rigid contexts Fix: Squash/stretch implies playfulness and life. Remove for serious, clinical, or professional contexts.
Follow Through
Issue: Endings don't match emotional intent Fix: Abrupt endings feel harsh. Soft landings feel gentle. Bouncy endings feel playful. Choose consciously.
Quick Fixes
- Name the target emotion - "This should feel calm"
- Match easing to emotion - Bouncy = playful, smooth = calm
- Adjust timing to context - Slow down serious moments
- Remove mismatch sources - Cut animations that fight the tone
- Test with emotional vocabulary - Ask users "how does this feel?"
Troubleshooting Checklist
- What emotion should this moment evoke?
- Does animation easing match that emotion?
- Is timing appropriate for emotional context?
- Would removing animation feel better?
- Do similar products use different motion here?
- Ask users: "What 3 words describe this animation?"
- Does animation match content gravity?
- Test: Cover content, does motion emotion match?
Emotion-to-Motion Map
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 · 81 lines · 20 tokens per session scan A a0bf0ad2073f
emotional-disconnect is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 20 tokens to every session and 685 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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