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 vladmdgolam/agent-skills --skill fluid-interfacesgit clone --depth 1 https://github.com/vladmdgolam/agent-skillsWrote 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/vladmdgolam/agent-skills/fluid-interfaces)<a href="https://agentmods.dev/skills/vladmdgolam/agent-skills/fluid-interfaces"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/fluid-interfaces/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/vladmdgolam/agent-skills/fluid-interfaces"><img src="https://agentmods.dev/badge/skills/vladmdgolam/agent-skills/fluid-interfaces.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00171 | $0.02479 |
| Opus 5 | $0.00086 | $0.01239 |
| Sonnet 5 | $0.00034 | $0.00496 |
| Haiku 4.5 | $0.00017 | $0.00248 |
Grade A, and why
fluid-interfaces 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 10d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fluid Interfaces
Source: Apple WWDC 2018 session 803, "Designing Fluid Interfaces" (Chan Karunamuni,
Nathan de Vries, Marcos Alonso — Human Interface team, built the iPhone X gestural UI).
Full transcript in references/transcript.md.
Core thesis: an interface feels fluid when it feels like an extension of the user's mind and body, not a computer being operated. This isn't about frame rate — a 60fps interface can still feel "off." It comes from matching the interface's behavior to how our bodies and minds actually move: continuously, redirectably, and in response to real physical momentum.
Use this skill to audit existing gesture/motion code (find file:line violations of the principles below) or to design new interactions from scratch.
The 8 core principles
-
Respond instantly. Any perceptible delay between touch and reaction breaks the illusion of directness. Audit every tap, press, and drag start for latency — not just swipes. Delays creep in via debounce timers,
setTimeout, animation queues, or waiting for a gesture to fully end before giving feedback. -
Allow constant redirection and interruption. Users should be able to change their mind mid-gesture without waiting for the current animation/gesture to finish. Detect direction changes via acceleration spikes, not velocity thresholds + timers — a sudden deceleration/reversal in finger motion is detectable faster than "wait until velocity drops below X for Y ms." If a new gesture can't interrupt an in-flight one, that's a violation.
-
Maintain spatial consistency. Objects should enter and exit the screen via symmetric, consistent paths (mimics real-world object permanence). If something enters from the right, it should exit to the right — not to the bottom. Broken symmetry (e.g. push-in from right, pop-out downward) reads as "sending it away" rather than "going back," and is disorienting.
-
Hint in the direction of the gesture. Intermediate/pressed states should visually grow toward the final state along the same trajectory (e.g. Control Center modules bulge toward the finger before popping open). This lets users predict the outcome before completing the gesture.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 190 lines · 171 tokens per session scan A 5cc02f9d3b8c
fluid-interfaces is a skill published in the GitHub repository vladmdgolam/agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 171 tokens to every session and 2,479 once invoked, about $0.0009 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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