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 Owl-Listener/designpowers --skill adaptive-interfacesgit clone --depth 1 https://github.com/Owl-Listener/designpowersWrote 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/owl-listener/designpowers/adaptive-interfaces)<a href="https://agentmods.dev/skills/owl-listener/designpowers/adaptive-interfaces"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/adaptive-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/owl-listener/designpowers/adaptive-interfaces"><img src="https://agentmods.dev/badge/skills/owl-listener/designpowers/adaptive-interfaces.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 93 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
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 | $0.00036 | $0.00964 |
| Opus 5.5 | $0.00014 | $0.00386 |
| Sonnet 5.5 | $0.00007 | $0.00193 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
adaptive-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 1mo 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adaptive Interfaces
Good design does not force everyone through the same experience. It adapts. This skill ensures interfaces respect user preferences, system settings, and individual needs — not as optional extras, but as fundamental design requirements.
When to Use
- Designing themes (dark mode, high contrast, custom colour schemes)
- Implementing motion or animation
- Building flexible typography or layout systems
- Designing for varying information density needs
- Any time the interface could benefit from adapting to the user
Process
Step 1: Identify Adaptable Properties
Review the design and map what should adapt:
| Property | User Preference | CSS/System Signal |
|---|---|---|
| Colour scheme | Light/dark/custom | prefers-color-scheme |
| Contrast | Standard/high | prefers-contrast |
| Motion | Full/reduced/none | prefers-reduced-motion |
| Text size | System font size settings | rem/em units, viewport scaling |
| Information density | Compact/comfortable/spacious | User setting or breakpoint |
| Transparency | Standard/reduced | prefers-reduced-transparency |
Step 2: Motion Sensitivity
Motion is the most commonly harmful interface property. Handle it rigorously:
Default behaviour:
- All animations and transitions are wrapped in a motion preference check
prefers-reduced-motion: reducedisables non-essential animation- Essential motion (e.g., a progress bar filling) uses reduced, simpler alternatives
Implementation pattern:
/* Full motion (default) */
.element { transition: transform 300ms ease-out; }
/* Reduced motion */
@media (prefers-reduced-motion: reduce) {
.element { transition: none; }
}
Never autoplay:
- Video, carousel, or animated content must not play automatically
- If autoplay is a business requirement, provide immediate pause/stop controls AND respect prefers-reduced-motion
Step 3: Colour Scheme Adaptation
Dark mode is not "invert the colours." It is a separate design exercise:
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.
- 1mo ago First seen · 110 lines · 36 tokens per session scan A e4bc911dd3b9
adaptive-interfaces is a skill published in the GitHub repository Owl-Listener/designpowers (254 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 964 once invoked, about $0.0001 per session on Opus 5.5. 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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