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 SnowBeatRain/skills --skill design-ui-gallerygit clone --depth 1 https://github.com/SnowBeatRain/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/snowbeatrain/skills/design-ui-gallery)<a href="https://agentmods.dev/skills/snowbeatrain/skills/design-ui-gallery"><img src="https://agentmods.dev/badge/skills/snowbeatrain/skills/design-ui-gallery/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/snowbeatrain/skills/design-ui-gallery"><img src="https://agentmods.dev/badge/skills/snowbeatrain/skills/design-ui-gallery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00132 | $0.00627 |
| Opus 5 | $0.00066 | $0.00313 |
| Sonnet 5 | $0.00026 | $0.00125 |
| Haiku 4.5 | $0.00013 | $0.00063 |
Grade A, and why
design-ui-gallery 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.
What it actually says
Design UI Gallery Skill
意图
帮助 Agent 快速定位视觉风格方向。当用户说"参考 XX 风格"或"给我几个风格方向"时，提供风格特征描述、适用场景和关键实现要素。
本 skill 负责视觉风格选型。设计系统基础（配色、字体、间距）用 design-system；具体组件实现用目标框架 skill。
触发场景
- 用户要求某种视觉风格（毛玻璃、粗野主义、极简等）。
- 需要探索多个风格方向做选择。
- 需要了解某种风格的关键实现要素。
- 落地页、后台、移动端 App 的整体视觉方向选择。
工作流
1. 确认需求
- 项目类型：落地页 / 后台 / 移动端 / 展示站。
- 品牌调性：专业 / 友好 / 科技 / 文艺 / 大胆。
- 目标用户群体。
- 参考风格关键词。
2. 风格探索
读取 references/style-catalog.md，找到匹配的风格方向。
每种风格包含：
- 特征描述
- 关键要素（色彩、形状、动效）
- 适用场景
- 代表案例
- Tailwind / CSS 关键属性
3. 应用场景参考
按项目类型读取对应参考：
| 场景 | 读取 |
|---|---|
| 落地页 | references/landing-page.md |
| 后台 / Dashboard | references/dashboard.md |
| 移动端 | references/mobile-app.md |
4. 实现方向
风格确定后，给出关键 CSS/Tailwind 属性方向。具体组件实现交给目标框架 skill。
References
| 场景 | 读取 |
|---|---|
| 风格目录（全部风格） | references/style-catalog.md |
| 落地页风格 | references/landing-page.md |
| Dashboard 风格 | references/dashboard.md |
| 移动端风格 | references/mobile-app.md |
What ships with it
4 files 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 · 63 lines · 132 tokens per session scan A 2652648952d7
design-ui-gallery is a skill published in the GitHub repository SnowBeatRain/skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 627 once invoked, about $0.0007 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 2026-08-31.
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