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 agentmods add skills/isaacsight/kernel/micro-interactionsnpx skills add isaacsight/kernel --skill micro-interactionsgit clone --depth 1 https://github.com/isaacsight/kernelWhat 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 | $0.00028 | $0.01069 |
| Opus 5 | $0.00014 | $0.00535 |
| Sonnet 5 | $0.00006 | $0.00214 |
| Haiku 4.5 | $0.00003 | $0.00107 |
Grade A, and why
micro-interactions 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 2d 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.
This is a copy
100% identical to micro-interactions — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Micro-interaction Animation
Apply Disney's 12 animation principles to small UI feedback moments and interface details.
Quick Reference
| Principle | Micro-interaction Implementation |
|---|---|
| Squash & Stretch | Button press compression, toggle bounce |
| Anticipation | Hover state hints, pre-click feedback |
| Staging | Focus attention on active element |
| Straight Ahead / Pose to Pose | Progress vs state changes |
| Follow Through / Overlapping | Ripple effects, settling motion |
| Slow In / Slow Out | Snappy but smooth transitions |
| Arc | Toggle switches, circular menus |
| Secondary Action | Icons respond to parent state |
| Timing | 100-300ms for most interactions |
| Exaggeration | Clear but not distracting |
| Solid Drawing | Consistent transform behavior |
| Appeal | Delightful, purposeful feedback |
Principle Applications
Squash & Stretch: Buttons compress slightly on press (scaleY: 0.95). Toggle thumbs squash when hitting bounds. Notification badges bounce on update. Keep subtle—this is UI, not cartoon.
Anticipation: Hover states prepare for click. Buttons lift/grow slightly before press animation. Draggable items elevate on grab start. Loading spinners wind up before spinning.
Staging: Active form field clearly distinguished. Error states demand attention. Success confirmations are unmistakable. One interaction feedback at a time.
Straight Ahead vs Pose to Pose: Progress indicators animate continuously (straight ahead). Checkboxes snap between states (pose to pose). Combine: loading indicator ends with state-change snap.
Follow Through & Overlapping: Ripple effects expand past tap point. Toggle switches overshoot then settle. Checkmarks draw with slight delay after box fills. Menu items stagger in.
Slow In / Slow Out: Quick ease-out for responsive feel. 100ms with ease-out feels instant. Avoid linear—looks broken. Snappy entrance, gentle settling.
Arc: Toggle switches travel in slight arc. Circular action buttons expand radially. Dropdown carets rotate smoothly. Menu items can follow curved path.
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.
- 2d ago First seen · 115 lines · 28 tokens per session scan A 9b43aaee901b
micro-interactions is a skill published in the GitHub repository isaacsight/kernel (16 stars, last pushed 3d ago), licensed MIT. It adds 28 tokens to every session and 1,069 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to micro-interactions, differing in 0 lines, and is treated as a copy.
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