Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add kkunkunya/ai-frontend-design-kit/plugin install ai-frontend-design-kitWrote 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/kkunkunya/ai-frontend-design-kit/frontend-design-research)<a href="https://agentmods.dev/skills/kkunkunya/ai-frontend-design-kit/frontend-design-research"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-design-research/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/kkunkunya/ai-frontend-design-kit/frontend-design-research"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-design-research.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 | $0.00201 | $0.04676 |
| Opus 5 | $0.00101 | $0.02338 |
| Sonnet 5 | $0.00040 | $0.00935 |
| Haiku 4.5 | $0.00020 | $0.00468 |
Grade A, and why
frontend-design-research 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 12d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Packaged Knowledge Snapshot
This packaged copy includes local note snapshots for portability. When the original Obsidian absolute path is unavailable, use the packaged snapshot instead:
/Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/AI前端设计认知框架.md->references/packaged-knowledge/AI前端设计认知框架.md/Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/主语言是设计的第一原则.md->references/packaged-knowledge/主语言是设计的第一原则.md/Users/kunkun/note/01-AI工程/AI设计与前端/01-认知框架/六维:形色字构质动是网站试吃的机械骨架.md->references/packaged-knowledge/六维:形色字构质动是网站试吃的机械骨架.md/Users/kunkun/note/01-AI工程/AI设计与前端/02-执行方法/AI 前端动效盲区与采访补偿.md->references/packaged-knowledge/AI 前端动效盲区与采访补偿.md/Users/kunkun/note/01-AI工程/AI设计与前端/02-执行方法/从参考案例复刻高级感:量化工作流.md->references/packaged-knowledge/从参考案例复刻高级感:量化工作流.md
Frontend Design Research
这个 skill 在做什么
阶段 2 试吃的纯化执行器。输入是已锁定的主语言 + 初步目标,输出是本项目的 design.md 初稿(可能还包含参考站六维记录)。
核心方法论是六维机械骨架——AI 试吃参考站时常见失败是"偷懒只抄色板"或"感觉驱动说不清楚哪里好",六维(形 / 色 / 字 / 构 / 质 / 动)把感觉机械化成可量化的正交维度,避免靠"感觉"收敛。
在阶段化流程里的位置
本 skill 严格限定在阶段 2(见 [[AI前端设计认知框架]]):
阶段1 需求 + 前轮深度采访 ─→ 主语言 + 目标(← 前提)
↓
阶段2 试吃六维 × 4-5 站 ─→ design.md 初稿(← 本 skill 产出)
↓
阶段3 后轮深度采访 ─→ design.md 定稿
↓
阶段4 视觉锚定三件套
和老版的差异:老版 research 包含"主语言收敛 + 参考调研 + 动效采访 + 资源路由"四件事;2026-04-21 重构后:
- 主语言收敛:由
frontend-interview-dualround前轮产出,本 skill 只做验证(主语言必须已经是动词句式) - 参考调研:重组为六维骨架 × 4-5 站,一次一站保护上下文
- 动效采访:归到六维之动,作为六维之一,不再是独立步骤
- 资源路由:拆出——组件库 / 动效资产库选型由
frontend-design-writer写入 §11 Resources 段
何时进入本 skill
要进:
- 阶段 1 完成(主语言 + 目标已定),需要跑参考站调研
- 整个站点/单个关键页面重做
- 前端方向大迭代(主语言不变但视觉气质换)
- 用户说"帮我找几个参考学习"/"跑一下前端调研"/"做六维试吃"
不要进:
- 主语言还没定 →
frontend-interview-dualround前轮先拔出来 - 六维都调研完了要定稿 →
frontend-interview-dualround后轮 - 要派生 Moodboard / 示意图 / 动效帧序列 →
frontend-visual-reference(阶段 4) - 要写交付版 design.md kun 15 段 →
frontend-design-writer - 要生成某个动效的微观实现 prompt →
frontend-motion-prompt-writer - 纯后端/纯脚本/无 UI 任务
What ships with it
7 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.
- agents/openai.yaml 189 B
- references/packaged-knowledge/AI 前端动效盲区与采访补偿.md 14 KB
- references/packaged-knowledge/AI前端设计认知框架.md 25 KB
- references/packaged-knowledge/manifest.json 1.0 KB
- references/packaged-knowledge/主语言是设计的第一原则.md 10 KB
- references/packaged-knowledge/从参考案例复刻高级感:量化工作流.md 15 KB
- references/packaged-knowledge/六维:形色字构质动是网站试吃的机械骨架.md 8.5 KB
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.
- 12d ago First seen · 276 lines · 201 tokens per session scan A 2704e05a6c59
frontend-design-research is a skill published in the GitHub repository kkunkunya/ai-frontend-design-kit (7 stars, last pushed 3mo ago), licensed MIT. It adds 201 tokens to every session and 4,676 once invoked, about $0.0010 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.
Other skills, from other repositories
ux-design
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android-design
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Use when the user asks for SwiftUI, UIKit, AppKit, iOS, iPadOS, macOS, watchOS, visionOS, Liquid Glass, HIG, SF Symbols, App Store deliverables, Apple settings/forms, branded Apple apps, React Native iOS, Flutter Cupertino, or Electron/Tauri macOS shells. Builds Apple-platform apps across system-like SwiftUI, branded…
stark
Use for UI/UX design, product flows, frontend or native interface design, design audits, design translation, asset planning, motion direction, design tokens, or distinctive non-generic apps and websites. Covers web and React, Windows and WinUI/Mica, Apple and SwiftUI, Android and Jetpack Compose/Material…
cross-platform-design
Use when the user wants one codebase or one product design across web, iOS, Android, Windows, and Mac, asks for the same app on all platforms, asks to translate/port a UI between platforms, or names Compose Multiplatform, Tauri 2, Electron, React Native, Flutter, .NET MAUI, Avalonia, or Uno Platform. Builds…