ai-elements

审查 · 56
已收录

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

Verified installs0
Stars63
版本1.0.0
质量65/100 · 有潜力
信任56/100 · Do not auto-install
审计74/100 · 需审查

供给资产档案

编程与开发 Agent

代码审查、仓库分析、测试、CI、GitHub、DevOps 与开发工作流 Skill。

浏览赛道

场景

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

npx skills add oomol-lab/wanta --skill ai-elements

维护状态

新鲜

今天有推送

风险

需审查

Dependency or permission surface needs review

GitHub 质量

63

65/100 质量 · 64/100 信任

覆盖标签

编程GitHub automation设计与创意agent-skill

审查说明

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

有潜力
65

有用的候选项,但采用前应与替代方案比较。

信任

Do not auto-install
56

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

审计

需审查
74

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

安装前需人工审查

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

63 个 GitHub Stars

仓库活跃度

63 个 Star,11 个 Fork

维护状态

今天有推送

许可证

Apache-2.0

安装

npx skills add oomol-lab/wanta --skill ai-elements

安装安全性

标准软件包或运行时安装路径

权限范围

secrets or environment access, shell or command execution

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

生产前审查

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 63 GitHub stars

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 已声明许可证
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • GitHub automation 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects
  • Inspect repository metadata

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add oomol-lab/wanta --skill ai-elements
策略
阻止
人工审查

信任与风险

信任
56/100
审计
74/100
风险级别
需审查

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

npx skills add oomol-lab/wanta --skill ai-elements

不适用场景

  • 需要厂商支持 SLA 的团队
  • production agents without a repository review
  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • 暂未有 OpenAgentSkill 使用反馈数据
  • 高风险权限提示:Shell or command execution, Secrets or environment access

Agent 安全 v2

34/100 · 避免自动安装

Blocked for auto-install阻止

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

通过 API 解析

Shell 或命令执行

Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

文件系统访问

Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • 高风险权限提示:Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install oomol-lab-ai-elements

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

Task: Use ai-elements in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ai-elements%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/oomol-lab-ai-elements/install
Install command: npx skills add oomol-lab/wanta --skill ai-elements
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

Use ai-elements for this task. Review https://www.openagentskill.com/api/skills/oomol-lab-ai-elements/install, then install with: npx skills add oomol-lab/wanta --skill ai-elements

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

64/100

GitHub automation

平台

Claude Code

审计报告

需审查 · 74/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

Fallback candidate for GitHub automation

先用此 Skill 做原型验证,并保留备选方案。

64
就绪度
原型验证
阶段

栈中角色

备选候选

主要匹配

GitHub automation

信任标签

先做原型验证

安装路径

命令已就绪

适用场景

  • GitHub automation 工作流
  • Claude Code 团队
  • builders willing to evaluate younger projects

证据

  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 65/100 质量档案

先审查

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • 暂未有 OpenAgentSkill 使用反馈数据

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次GitHub automation任务。
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

信任档案

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

56
OpenAgentSkill 信任评分

GitHub 采用度

检查

63 个 GitHub Stars

Star/Fork 活跃度

检查

63 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

今天有推送

许可证清晰度

通过

Apache-2.0

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 63 GitHub stars
  • Stars/forks activity: 63 stars, 11 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

Choose a stronger alternative or inspect the source manually before any install attempt.

质量档案

有潜力 适用于 Agent 工作流的候选

有用的候选项,但采用前应与替代方案比较。

65
GitHub Stars
63
新鲜度
今天
安装就绪
许可证
Apache-2.0
安装前审查: SKILL.md does not explicitly list limitations or safe operating boundaries (e.g., when not to use this skill, potential pitfalls with component customization).

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- name: ai-elements description: Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface. ---

# AI Elements

[AI Elements](https://www.npmjs.com/package/ai-elements) is a component library and custom registry built on top of [shadcn/ui](https://ui.shadcn.com/) to help you build AI-native applications faster. It provides pre-built components like conversations, messages and more.

Installing AI Elements is straightforward and can be done in a couple of ways. You can use the dedicated CLI command for the fastest setup, or integrate via the standard shadcn/ui CLI if you've already adopted shadcn's workflow.

> **IMPORTANT:** Run all CLI commands using the project's package runner: `npx ai-elements@latest`, `pnpm dlx ai-elements@latest`, or `bunx --bun ai-elements@latest` — based on the project's `packageManager`. Examples below use `npx ai-elements@latest` but substitute the correct runner for the project.

## Prerequisites

Before installing AI Elements, make sure your environment meets the following requirements:

- [Node.js](https://nodejs.org/en/download/), version 18 or later - A [Next.js](https://nextjs.org/) project with the [AI SDK](https://ai-sdk.dev/) installed. - [shadcn/ui](https://ui.shadcn.com/) installed in your project. If you don't have it installed, running any install command will automatically install it for you. - We also highly recommend using the [AI Gateway](https://vercel.com/docs/ai-gateway) and adding `AI_GATEWAY_API_KEY` to your `env.local` so you don't have to use an API key from every provider. AI Gateway also gives $5 in usage per month so you can experiment with models. You can obtain an API key [here](https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%2Fapi-keys&title=Get%20your%20AI%20Gateway%20key).

## Installing Components

You can install AI Elements components using either the AI Elements CLI or the shadcn/ui CLI. Both achieve the same result: adding the selected component’s code and any needed dependencies to your project.

The CLI will download the component’s code and integrate it into your project’s directory (usually under your components folder). By default, AI Elements components are added to the `@/components/ai-elements/` directory (or whatever folder you’ve configured in your shadcn components settings).

After running the command, you should see a confirmation in your terminal that the files were added. You can then proceed to use the component in your code.

## Usage

Once an AI Elements component is installed, you can import it and use it in your application like any other React component. The components are added as part of your codebase (not hidden in a library), so the usage feels very natural.

## Example

After installing AI Elements components, you can use them in your application like any other React component. For example:

```tsx title="conversation.tsx" "use client";

import { Message, MessageContent, MessageResponse, } from "@/components/ai-elements/message"; import { useChat } from "@ai-sdk/react";

const Example = () => { const { messages } = useChat();

return ( <> {messages.map(({ role, parts }, index) => ( <Message from={role} key={index}> <MessageContent> {parts.map((part, i) => { switch (part.type) { case "text": return ( <MessageResponse key={`${role}-${i}`}> {part.text} </MessageResponse> ); } })} </MessageContent> </Message> ))} </> ); };

export default Example; ```

In the example above, we import the `Message` component from our AI Elements directory and include it in our JSX. Then, we compose the component with the `MessageContent` and `MessageResponse` subcomponents. You can style or configure the component just as you would if you wrote it yourself – since the code lives in your project, you can even open the component file to see how it works or make custom modifications.

## Extensibility

All AI Elements components take as many primitive attributes as possible. For example, the `Message` component extends `HTMLAttributes<HTMLDivElement>`, so you can pass any props that a `div` supports. This makes it easy to extend the component with your own styles or functionality.

## Customization

After installation, no additional setup is needed. The component’s styles (Tailwind CSS classes) and scripts are already integrated. You can start interacting with the component in your app immediately.

For example, if you'd like to remove the rounding on `Message`, you can go to `components/ai-elements/message.tsx` and remove `rounded-lg` as follows:

```tsx title="components/ai-elements/message.tsx" highlight="8" export const MessageContent = ({ children, className, ...props }: MessageContentProps) => ( <div className={cn( "flex flex-col gap-2 text-sm text-foreground", "group-[.is-user]:bg-primary group-[.is-user]:text-primary-foreground group-[.is-user]:px-4 group-[.is-user]:py-3", className )} {...props} > <div className="is-user:dark">{children}</div> </div> ); ```

## Troubleshooting

### Why are my components not styled?

Make sure your project is configured correctly for shadcn/ui in Tailwind 4 - this means having a `globals.css` file that imports Tailwind and includes the shadcn/ui base styles.

### I ran the AI Elements CLI but nothing was added to my project

Double-check that:

- Your current working directory is the root of your project (where `package.json` lives). - Your components.json file (if using shadcn-style config) is set up correctly. - You’re using the latest version of the AI Elements CLI:

```bash title="Terminal" npx ai-elements@latest ```

If all else fails, feel free to open an [issue on GitHub](https://github.com/vercel/ai-elements/issues).

### Theme switching doesn’t work — my app stays in light mode

Ensure your app is using the same data-theme system that shadcn/ui and AI Elements expect. The default implementation toggles a data-theme attribute on the `<html>` element. Make sure your tailwind.config.js is using class or data- selectors accordingly.

### The component imports fail with “module not found”

Check the file exists. If it does, make sure your `tsconfig.json` has a proper paths alias for `@/` i.e.

```json title="tsconfig.json" { "compilerOptions": { "baseUrl": ".", "paths": { "@/*": ["./*"] } } } ```

### My AI coding assistant can't access AI Elements components

1. Verify your config file syntax is valid JSON. 2. Check that the file path is correct for your AI tool. 3. Restart your coding assistant after making changes. 4. Ensure you have a stable internet connection.

### Still stuck?

If none of these answers help, open an [issue on GitHub](https://github.com/vercel/ai-elements/issues) and someone will be happy to assist.

## Available Components

See the `references/` folder for detailed documentation on each component.

技术详情

版本
1.0.0
许可证
Apache-2.0
最近更新
2026年8月22日
发布时间
2026年8月22日

决策摘要

备选候选

64
就绪
原型验证
阶段

仓库近期活跃

审计

安装审查

安装与采用审查

74
需审查
安全性
71/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 ai-elements 准备的场景化草稿,可手动发布到 X。

策展说明
A practical pick for design or creative work:

ai-elements: Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Us...

63 stars

https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=x
打开 X 草稿
可选:带安装命令的回复
Listing + install path for ai-elements:
https://www.openagentskill.com/skills/oomol-lab-ai-elements?ref=x

Install: npx skills add oomol-lab/wanta --skill ai-elements
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
oomol-lab
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 oomol-lab,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=listed&label=Listed)](https://www.openagentskill.com/skills/oomol-lab-ai-elements)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=trust&label=Trust)](https://www.openagentskill.com/skills/oomol-lab-ai-elements)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=audit&label=Audit)](https://www.openagentskill.com/skills/oomol-lab-ai-elements/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/oomol-lab-ai-elements?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/oomol-lab-ai-elements)

作者

O

oomol-lab

@oomol-lab

平台适配

健康信号

GitHub Stars
63
质量评分
36/100
最近 GitHub 推送
2026年8月22日
框架提示
未知
OpenAgentSkill 浏览量
0
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

Do not auto-install

56
  • GitHub 采用度63 个 GitHub Stars检查
  • Star/Fork 活跃度63 个 Star,11 个 Fork; 当前元数据中没有议题活跃度信息检查
  • 近期维护今天有推送通过
  • 许可证清晰度Apache-2.0通过
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险command execution surface, credential or environment access检查