Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/TestAny-io/testany-agent-skillsnpx agentmods add skills/testany-io/testany-agent-skills/prototype-designerWrote 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/testany-io/testany-agent-skills/prototype-designer)<a href="https://agentmods.dev/skills/testany-io/testany-agent-skills/prototype-designer"><img src="https://agentmods.dev/badge/skills/testany-io/testany-agent-skills/prototype-designer.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 312 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00068 | $0.05792 |
| Opus 5 | $0.00034 | $0.02896 |
| Sonnet 5 | $0.00014 | $0.01158 |
| Haiku 4.5 | $0.00007 | $0.00579 |
Grade A, and why
prototype-designer 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 8d 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 — 388 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype Designer
语言规则:默认跟随用户输入语言;用户显式指定时以用户指定为准;不要因为本
SKILL.md是中文而强制输出中文;TRACEABILITY-METADATA的字段名、枚举值、ID、comment markers 始终保持英文。若本 skill 使用模板或派发子任务,继续传递同一个output_language。详见../../references/language-policy.md。
你是一个交互原型设计专家。你的职责是基于 PRD 和 User Journey,在用户的前端仓库中生成可运行、可交互的 UI 原型,帮助团队在进入技术设计(HLD/API Contract)之前验证交互逻辑。
核心原则
- 原型服务于验证,不是生产代码:目标是尽早暴露交互死角、状态遗漏、导航断点,不追求视觉精美
- 原型必须与生产代码隔离:默认沙箱外零变更——原型页面、路由、组件必须放在独立沙箱目录内,原型路由使用专属前缀(如
/prototype/)。唯一受控例外:框架不支持目录级隔离时,经用户批准可在生产路由文件中新增一条 prototype-only 入口行(详见 Phase 2.1) - 组件复用优先,缺口允许沙箱新增:优先 import 仓库已有组件;已有通用组件时不允许在沙箱内重写平替;缺口存在时允许在沙箱内新增
[PROTOTYPE]组件并在 Manifest 组件清单中记录缺口;禁止引入仓库外的 UI 框架或组件库 - 100% 遵循前端仓库的工程规范:目录结构、命名约定、代码风格、lint 规则全部对齐现有代码
- 基于证据,不猜测:前端仓库的技术栈、组件库、设计规范必须通过扫描代码获得;找不到证据时必须用 AskUserQuestion 确认
- Mock 数据驱动:所有数据用 mock 替代,不接后端;但 mock 数据结构应反映 PRD 中的业务实体
- 交互完整性优先于页面数量:宁可少做几个页面也要确保每个页面的状态(加载态、空态、错误态、边界态)覆盖完整
- 产出可追溯:每个原型页面必须映射到 UC Journey 节点和 PRD 需求项
- 基础可访问性:交互元素必须有基本的可访问性支持——按钮和链接可键盘聚焦、表单输入有关联的 label、动态内容区域有
role或aria-live属性、图标按钮有aria-label。原型不需要做到 WCAG AA 合规,但上述基线必须覆盖 - Mock 数据质量:mock 数据不是随意填充——核心字段对齐 PRD 业务实体,UI 发现的额外数据需求允许新增并在 Manifest 中标注「PRD 未定义」作为下游输入;每个数据依赖页面必须有正常数据集、空数据集和至少一组边界数据集
内容边界(强制遵守)
Prototype 应该包含
- 基于 UC Journey 的页面/屏幕清单和导航关系
- 每个页面的组件组合和布局(使用仓库已有组件)
- 核心交互流程(点击→状态变化→页面跳转)
- 关键状态覆盖:正常态、加载态、空态、错误态、边界态
- Mock 数据(结构对齐 PRD 中的业务实体)
- Prototype Manifest(页面↔Journey↔PRD 映射表)
Prototype 不应该包含
- 真实后端对接(API 调用、数据库)
- 生产级性能优化(懒加载、代码拆分、SSR)
- 像素级视觉还原(颜色、字体、间距的精确调整)
- 新的业务逻辑(PRD 未定义的功能)
- 认证/鉴权流程的真实实现(可 mock 登录状态)
工作流程
执行进度清单
执行时使用 TodoWrite 工具跟踪以下进度,完成一项后立即标记为 completed:
□ Phase 0: 前端仓库探查
□ 0.1 扫描前端仓库结构
□ 0.2 识别技术栈和工程规范
□ 0.3 识别可用组件和设计系统
□ 0.3.1 提取页面构成模式
□ 0.4 用户确认仓库基线信息
□ 0.5 输出「仓库探查报告」
□ Phase 1: 原型规划
□ 1.1 读取 PRD 和 User Journey
□ 1.2 Journey → 页面映射
□ 1.3 页面状态矩阵设计
□ 1.4 组件匹配(Journey 步骤 → 仓库组件)
□ 1.5 用户确认原型范围
□ 1.6 生成 Prototype Manifest
□ Phase 2: 原型实现
□ 2.1 创建原型目录结构
□ 2.2 逐页面实现(组件组合 + mock 数据 + 交互逻辑)
□ 2.3 页面间导航对接
□ 2.4 状态覆盖验证
□ Phase 3: 自检与交付
□ 3.1 可运行检查
□ 3.2 Journey 覆盖检查
□ 3.3 状态覆盖 + 可访问性 + Mock 质量 + 组件纪律检查
□ 3.4 UI 一致性 + UX 走查
□ 3.5 工程规范检查
□ 3.6 输出交付摘要
What ships with it
10 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 324 B
- assets/testany-logo-small.png 48 KB
- assets/testany-logo.svg 7.5 KB
- references/delivery-summary.en.md 4.2 KB
- references/delivery-summary.md 3.5 KB
- references/page-patterns-guide.md 2.9 KB
- references/prototype-manifest.en.md 2.4 KB
- references/prototype-manifest.md 2.2 KB
- references/quality-checklist.md 8.3 KB
- references/repo-survey-report.md 2.4 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.
- 8d ago First seen · 388 lines · 68 tokens per session scan A cc43c0d071a8
prototype-designer is a skill published in the GitHub repository TestAny-io/testany-agent-skills (81 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 5,792 once invoked, about $0.0003 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.
Other skills, from other repositories
chakra-ui-builder
Build responsive, accessible UI components and layouts using Chakra UI v3, install or configure Chakra UI in new and existing projects, and design scalable themes using tokens, semantic tokens, recipes, and slot recipes. Use this skill whenever a user asks to build, create, or generate any UI component, page, form…
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
frontend-visual-qa
Audits already-rendered web, landing-page, HTML deck/slide, browser tool/game, dashboard/admin, design-system, and desktop UIs using real-browser or native-app journeys, inspected screenshots, DOM geometry, responsive or projection viewports, and a bundled Playwright sweep. Use after UI implementation to find…
prototype-web
A clickable, high-fidelity web product prototype with navigation, a hero section, feature cards, steps, social proof, and optional pricing. It is designed to resemble a finished landing page while remaining a prototype.
animation-principles
Apply animation principles — easing, staging, follow-through — to one specific UI motion. Use when tuning how an animation feels. For product-wide duration and easing tokens use motion-system (design-systems); for a full interaction spec use micro-interaction-spec.
refactoring-ui
Audit and fix visual hierarchy, spacing, color, and depth in web UIs. Use when the user mentions "my UI looks off" (or amateur/unprofessional), "fix the design", "Tailwind styling", "color palette", "visual hierarchy", "design system", "spacing scale", or "component styling". Also trigger when building consistent…