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 agentmods add skills/antdigital-ai/agentic-ui/agentic-ui-developmentnpx skills add antdigital-ai/agentic-ui --skill agentic-ui-developmentgit clone --depth 1 https://github.com/antdigital-ai/agentic-uiWrote 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/antdigital-ai/agentic-ui/agentic-ui-development)<a href="https://agentmods.dev/skills/antdigital-ai/agentic-ui/agentic-ui-development"><img src="https://agentmods.dev/badge/skills/antdigital-ai/agentic-ui/agentic-ui-development.svg" alt="Measured on agentmods" 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 | $0.00088 | $0.00871 |
| Opus 5 | $0.00044 | $0.00436 |
| Sonnet 5 | $0.00018 | $0.00174 |
| Haiku 4.5 | $0.00009 | $0.00087 |
Grade A, and why
agentic-ui-development 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 4d 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
Agentic UI 项目开发
@ant-design/agentic-ui 整体开发流程、规范与组件清单。具体组件实现见各 component-xxx Skill。
规范入口
- 编码与仓库规范:仓库根目录 AGENTS.md(命名、TypeScript、样式、测试、Git/PR、Changelog)。
- 组件级约定:各
.cursor/skills/component-xxx/SKILL.md与 AGENTS.md 一致。
常用命令
| 用途 | 命令 |
|---|---|
| 文档站点 | pnpm start(http://localhost:8000) |
| 构建 | pnpm run build |
| 单元测试 | 日常 pnpm test(精简);全量 pnpm run test:full(--mode full);覆盖率 pnpm run test:coverage / 全量 pnpm run test:coverage:full(同全量 exclude + --coverage) |
| E2E | pnpm run test:e2e,调试 pnpm run test:e2e:debug |
| 检查 | pnpm run lint、pnpm tsc |
| 格式化 | pnpm run prettier |
项目与组件结构
- 源码:
src/,单组件目录含ComponentName.tsx、style.ts、types.ts、index.tsx,子组件/hooks/utils按需。 - 导出入口:
src/index.ts按功能分区导出;新增组件需在此处与对应组件index中声明。 - 文档:
docs/,Dumi 配置.dumirc.ts。 - 测试:
tests/(Vitest)、e2e/(Playwright)。 - 脚本:
scripts/(如checkDemoFiles.js、bumpVersion.js、generateDemoReport.js)。
组件清单(与 src/index.ts 对应)
- 布局:AgenticLayout、Workspace、ChatLayout、ChatBootPage
- 聊天气泡:Bubble(AIBubble、UserBubble、List)
- 思维链/工具:ThoughtChainList、ToolUseBar、ToolUseBarThink
- 任务/运行:AgentRunBar、TaskList
- 历史:History
- 编辑器/输入:MarkdownEditor、MarkdownInputField
- Schema:SchemaForm、SchemaEditor、SchemaRenderer、validator
- 插件:Plugins(chart、code、formatter、mermaid)
- 基础 UI:AILabel、AnswerAlert、BackTo、Quote、WelcomeMessage
- 通用子组件:ActionIconBox、ActionItemBox、Button、GradientText、LayoutHeader、Loading、Robot、SuggestionList、TextAnimate、TypingAnimation、VisualList、lotties
新组件/新功能时
- 遵循 AGENTS.md 的命名、Props/事件、Ref、样式(createStyles + token)、文件组织。
- 在
src/index.ts增加导出;如有新组件 Skill,在.cursor/skills/README.md中补充一览。 - 补全类型、测试(覆盖率 ≥80%)与文档/Changelog(中英文)。
开发或排查时优先查 AGENTS.md 与对应 component-xxx Skill,再改源码与入口。
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.
- 4d ago First seen · 54 lines · 88 tokens per session scan A e854ec74fb8d
agentic-ui-development is a skill published in the GitHub repository antdigital-ai/agentic-ui (224 stars, last pushed 22d ago), licensed MIT. It adds 88 tokens to every session and 871 once invoked, about $0.0004 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.
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