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-interview-dualround)<a href="https://agentmods.dev/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround/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-interview-dualround"><img src="https://agentmods.dev/badge/skills/kkunkunya/ai-frontend-design-kit/frontend-interview-dualround.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 | $0.00252 | $0.04175 |
| Opus 5 | $0.00126 | $0.02087 |
| Sonnet 5 | $0.00050 | $0.00835 |
| Haiku 4.5 | $0.00025 | $0.00417 |
Grade A, and why
frontend-interview-dualround 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 — 279 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/02-执行方法/审美是隐性认知,追问是唯一的解压工具.md->references/packaged-knowledge/审美是隐性认知,追问是唯一的解压工具.md/Users/kunkun/note/01-AI工程/AI设计与前端/02-执行方法/深度采访双轮:产品设计师视角的横切机制.md->references/packaged-knowledge/深度采访双轮:产品设计师视角的横切机制.md
Frontend Interview Dualround
这个 skill 在做什么
用产品设计师视角做双轮深度采访,把用户脑子里隐性的"架构 + 文案 + 交互"主动拔出来。前轮建立目标边界,后轮结合视觉参考拔细节,两轮共同防止代码阶段走偏。
AI 默认只扮演"前端设计师"——接"做个官网"就直奔视觉,导致架构错或文案像 GPT 生成的营销话术。产品设计师视角是本 skill 的关键差异化:不仅解决"长什么样",先解决"讲什么 + 怎么组织"。
在阶段化流程里的位置
本 skill 是横切机制(见 [[AI前端设计认知框架]]),贯穿阶段 1 和阶段 3:
阶段1 需求定义 ← ★ 前轮采访(本 skill)
↓ → 主语言 + 目标 + 产品边界
阶段2 试吃六维
↓
阶段3 Moodboard 生成 + 选定 ← ★ 后轮采访(本 skill)
↓ → 架构 + section + 文案调性 + 交互 + 反向细节
design.md 定稿
↓
阶段4 视觉锚定三件套
↓
阶段6 代码实现
↓
阶段7 迭代微调 ← 用 frontend-design-review 做三段式追问(代码后)
和 frontend-design-review 的关键分工:
| 机制 | 阶段 | 目的 | 隐性来源 |
|---|---|---|---|
| 本 skill(深度采访双轮) | 代码前(阶段 1 + 阶段 3) | 建立目标 / 架构 / 文案的边界 | 用户脑子里的产品愿景 |
| frontend-design-review(三段式追问) | 代码后(阶段 7) | 纠正"感觉不对"的评审反馈 | 用户看完代码后才涌现的审美直觉 |
两者都依赖"用户脑子里有隐性认知,Agent 必须主动问"的前提,但阶段严格分离。
何时进入本 skill
要进:
- 阶段 1:新项目启动,用户给了一句"做个 X"的 brief 但细节含糊 → 跑前轮
- 阶段 3:六维试吃完成 + Moodboard 生成后、design.md 定稿前 → 跑后轮
- 用户说"帮我把这个产品想清楚""我有个想法但说不清""帮我定架构"
- 前端设计剧本阶段 1/阶段 3 路由到本 skill
不要进:
- 代码已跑起来,用户看实现说"感觉不对" →
frontend-design-review(阶段 7) - 用户要的是机械判定的需求澄清(产品 brief 质量门禁) →
req-suite:requirement-clarifier - 用户已明确给出架构和文案,不需要采访 → 直接进 writer
- 纯视觉方向选择(Moodboard 选一张) →
frontend-visual-reference
What ships with it
5 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 · 279 lines · 252 tokens per session scan A b75895e53347
frontend-interview-dualround is a skill published in the GitHub repository kkunkunya/ai-frontend-design-kit (7 stars, last pushed 3mo ago), licensed MIT. It adds 252 tokens to every session and 4,175 once invoked, about $0.0013 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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