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Agent Skill · 研究检索

claw2ui(claw2ui 表格)

claw2ui 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

claw2ui 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 11,002。

总安装 11,832周安装 493GitHub Stars 公开资料未说明下载 3,944核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:claw2ui(claw2ui 表格)
来源仓库:https://github.com/0xsegfaulted/claw2ui
安装命令:
openclaw skills install claw2ui
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install claw2ui

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

claw2ui 用于生成交互式网页仪表板并通过 URL 对外提供。适合需要将数据分析结果转化为可视化报告或实时监控面板时调用。通过 clawhub 安装,支持图表、表格等多种组件渲染。使用前需确认输出内容敏感性、URL 访问权限及是否需要公网暴露。建议设置访问鉴权并定期清理临时生成的公共链接。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install claw2ui;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

claw2ui 怎么安装?

在终端执行 openclaw skills install claw2ui。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claw2ui 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

claw2ui 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

claw2ui 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claw2ui 用的人多吗?

公开数据是累计安装 11,832 次,近一周安装 493 次,下载 3,944 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

claw2ui 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
claw2ui

claw2ui 表格 · 本页

11,832—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
claw2ui
description
Generate interactive web pages (dashboards, charts, tables, reports) and serve them via public URL. Use this skill when the user explicitly asks for data visualization, dashboards, analytics reports, comparison tables, status pages, or web-based content. Also triggers for: "draw me a chart", "make a dashboard", "show me a table", "generate a report", "visualize this data", "render this as a page", "publish a page", "claw2ui". If the response would benefit from charts, sortable tables, or rich layout, suggest using Claw2UI and wait for user confirmation before publishing. Chinese triggers: "做个仪表盘", "画个图表", "做个报表", "生成一个页面", "做个dashboard", "数据可视化", "做个网页", "展示数据", "做个表格", "做个图", "发布一个页面", "做个看板". Additional English triggers: "create a webpage", "show analytics", "build a status page", "make a chart", "data overview", "show me stats", "create a board", "render a page", "comparison chart", "trend analysis", "pie chart", "bar chart", "line chart", "KPI dashboard", "metrics overview", "weekly report", "monthly report".
license
MIT
metadata
openclaw
emoji
📊
requires
bins
optionalBins
install
kind
npm
package
claw2ui
bins
["claw2ui"]
label
Install Claw2UI CLI (npm install -g claw2ui)
verify
https://github.com/0xsegfaulted/claw2ui
kind
brew
formula
cloudflared
bins
["cloudflared"]
label
Install cloudflared (optional, for self-hosted tunnels)
sideEffects
permissions

Claw2UI - Agent-to-UI Bridge

Generate interactive web pages from TypeScript DSL specs and serve them via a public URL. Pages include Tailwind CSS, Alpine.js, and Chart.js out of the box, with pluggable themes, type checking, and mobile-responsive layouts.

Source: GitHub · npm · HF Space · License: MIT

Data Safety & User Confirmation

Every published page is accessible via a public URL. Never publish without explicit user approval.

  • Always confirm with the user before publishing — describe what will be published and wait for explicit "yes"/"go ahead". Silent publishing is never acceptable
  • Never include secrets, credentials, API keys, tokens, PII, or internal endpoints in page content
  • Sanitize all user-provided data before embedding — the html component is sanitized server-side, but avoid passing raw untrusted input to other components
  • Use TTL for ephemeral or sensitive data so pages auto-expire: --ttl 3600000 (1 hour)
  • Review content before publishing — check that no sensitive information leaks through table rows, stat values, or chart labels

Setup

Claw2UI uses the public server at https://0xsegfaulted-claw2ui.hf.space by default. No local server needed.

npm install -g claw2ui
claw2ui register --server https://0xsegfaulted-claw2ui.hf.space
# Done! Token saved to ~/.claw2ui.json automatically.
Self-hosting: To run your own Claw2UI server (local, Docker, or HF Space), see the self-hosting guide.

Workflow

Step 1: Ensure Connection

# Register once (token saved to ~/.claw2ui.json)
claw2ui register --server https://0xsegfaulted-claw2ui.hf.space

Step 2: Write a TypeScript DSL Spec

Write a .ts file. Always wrap content in a container. The file is type-checked automatically.

cat > /tmp/claw2ui_page.ts << 'SPECEOF'
import { page, container, header, row, stat, card, chart, dataset } from "claw2ui/dsl"

export default page("Page Title", [
  container(
    header("Title", "Description"),
    row(3,
      stat("Metric 1", "100", { change: 5.2, icon: "trending_up" }),
      stat("Metric 2", "200"),
      stat("Metric 3", "300"),
    ),
    card("Trend",
      chart("line", {
        labels: ["Jan", "Feb", "Mar"],
        datasets: [dataset("Value", [10, 20, 15], { borderColor: "#3b82f6", tension: 0.3 })],
      }),
    ),
  ),
], { style: "anthropic" })
SPECEOF

Step 3: Confirm with User

Before publishing, tell the user what will be published and confirm they want to proceed. The page will be accessible via a public URL. Example:

"I've prepared a dashboard with [summary of content]. Ready to publish it to a public URL? (Use --ttl 3600000 for auto-expiry in 1 hour.)"

Step 4: Publish

Only after user confirmation:

claw2ui publish --spec-file /tmp/claw2ui_page.ts --title "Dashboard"
# For sensitive/temporary data, always set a TTL:
claw2ui publish --spec-file /tmp/claw2ui_page.ts --title "Dashboard" --ttl 3600000
# Skip type checking for faster publish (not recommended):
claw2ui publish --spec-file /tmp/claw2ui_page.ts --title "Dashboard" --no-check

Outputs the public URL.

Step 5: Share the URL

Include the URL in your response to the user.

CLI Commands

# Connection
claw2ui register --server <url>         # Self-service registration
claw2ui init --server <url> --token <t> # Manual config

# Publish
claw2ui publish --spec-file <file.ts> --title "Title"    # From TS DSL (type-checked)
claw2ui publish --spec-file <file.ts> --no-check         # Skip type checking
claw2ui publish --spec-file <file.json> --title "Title"  # From JSON spec (legacy)
claw2ui publish --html "<h1>Hi</h1>" --title "Test"      # Raw HTML
claw2ui publish --spec-file <file> --style anthropic     # With theme
claw2ui publish --spec-file <file> --ttl 3600000         # With TTL (ms)

# Themes
claw2ui themes                          # List available themes

# Manage pages
claw2ui list                            # List all pages
claw2ui delete <page-id>               # Delete a page
claw2ui status                          # Check server status

DSL Function Reference

All functions are imported from "claw2ui/dsl".

Page Entry

page(title, components[], opts?)  // opts: { theme?: "light"|"dark"|"auto", style?: "anthropic"|"classic" }

Layout (accept ...children)

container(...children)              // Outermost wrapper, always use this
row(cols, ...children)              // Grid row: row(3, stat(...), stat(...), stat(...))
column(span, ...children)           // Grid column within a row
card(title, ...children)            // Card with border/shadow
list(direction, ...children)        // "vertical" or "horizontal"
modal(title, ...children)           // Dialog popup

Special Containers

tabs(                               // Tabbed sections
  tab("id", "Label", ...children),
  tab("id2", "Label 2", ...children),
)

accordion(                          // Collapsible sections
  section("Title", ...children),
  section("Title 2", ...children),
)

Data Display

stat(label, value, opts?)           // opts: { change?: number, icon?: string }
chart(chartType, data, opts?)       // opts: { height?, options?, legendPosition?, title? }
table(columns, rows, opts?)         // opts: { searchable?, perPage? }

Helpers (for chart/table)

dataset(label, data[], opts?)       // Chart.js dataset: dataset("Rev", [1,2,3], { borderColor: "red" })
col(key, label?, format?)           // Column def: col("name", "Name", "currency")
badge(key, label, badgeMap)         // Badge column: badge("status", "Status", { Active: "success" })
months(n)                           // Month labels: months(6) → ["Jan","Feb","Mar","Apr","May","Jun"]

Input

button(label, variant?)             // variant: "primary"|"secondary"|"danger"|"outline"
textField(label?, opts?)            // opts: { placeholder?, value?, inputType? }
select(label, options)              // options: [{ value: "a", label: "Option A" }]
checkbox(label, value?)
choicePicker(label, options, opts?) // opts: { value?, variant?, displayStyle? }
slider(label, opts?)                // opts: { min?, max?, value? }
dateTimeInput(label, opts?)         // opts: { value?, enableDate?, enableTime?, min?, max? }

Media & Text

markdown(content)                   // Renders markdown to styled HTML (preferred for rich text)
text(content, opts?)                // opts: { size?, bold?, class? }
code(content, language?)            // Code block with syntax highlighting
html(content)                       // Raw HTML (sanitized server-side)
icon(name, size?)                   // Material Icon: icon("settings", 24)
image(src, alt?)
video(url, poster?)
audioPlayer(url, description?)
divider()
spacer(size?)

Navigation

header(title, subtitle?)            // Page header
link(href, label?, target?)         // Hyperlink

Available Themes (style field)

ThemeDescription
anthropic(default) Warm editorial aesthetic — Newsreader serif headings, terracotta accents, cream backgrounds
classicOriginal Tailwind look — blue accents, system fonts, gray surfaces

Best Practices

Always use TypeScript DSL, not JSON

The DSL is type-checked, uses ~60% fewer tokens, and supports logic. JSON specs are still supported but considered legacy.

Use loops and conditionals

// Generate stats from data
const metrics = [
  { label: "CPU", value: "42%", icon: "monitor" },
  { label: "Memory", value: "6.2 GB", icon: "memory" },
  { label: "Disk", value: "120 MB/s", icon: "storage" },
]
row(3, ...metrics.map(m => stat(m.label, m.value, { icon: m.icon })))

// Conditional rendering
container(
  header("Report"),
  data.length > 0
    ? card("Trend", chart("line", chartData))
    : text("No data available"),
)

// Filter falsy values
container(
  header("Dashboard"),
  showMetrics && row(3, stat("A", "1"), stat("B", "2"), stat("C", "3")),
  card("Details", table(cols, rows)),
)

Prefer col() / badge() / dataset() helpers

// Good — concise and readable
table(
  [col("name", "Name"), col("rev", "Revenue", "currency"), badge("status", "Status", { Active: "success" })],
  rows,
)

// Avoid — verbose raw objects
table(
  [{ key: "name", label: "Name" }, { key: "rev", label: "Revenue", format: "currency" }, { key: "status", label: "Status", format: "badge", badgeMap: { Active: "success" } }],
  rows,
)

Use markdown() for rich text

card("About",
  markdown(`
## Features
- **Fast** — sub-second rendering
- **Secure** — sanitized HTML output
- **Responsive** — mobile-first layouts

> Built with Claw2UI
  `),
)

Use months() for chart labels

chart("bar", {
  labels: months(6),
  datasets: [dataset("Revenue", [100, 200, 150, 300, 250, 400])],
})

Design Patterns

Dashboard

import { page, container, header, row, stat, card, chart, table, col, badge, dataset } from "claw2ui/dsl"

export default page("Dashboard", [
  container(
    header("Dashboard", "Overview"),
    row(3,
      stat("Revenue", "$1.2M", { change: 15.3, icon: "payments" }),
      stat("Orders", "8,432", { change: 8.1, icon: "shopping_cart" }),
      stat("Customers", "2,847", { change: -2.5, icon: "group" }),
    ),
    card("Trend",
      chart("line", {
        labels: months(6),
        datasets: [dataset("Revenue", [320, 410, 380, 450, 480, 520], {
          borderColor: "#3b82f6", tension: 0.3, fill: true,
          backgroundColor: "rgba(59,130,246,0.1)",
        })],
      }, { height: 280 }),
    ),
    card("Details",
      table(
        [col("name", "Name"), col("value", "Value", "currency"), badge("status", "Status", { Active: "success", Inactive: "error" })],
        [
          { name: "Product A", value: 450000, status: "Active" },
          { name: "Product B", value: 320000, status: "Active" },
          { name: "Product C", value: 0, status: "Inactive" },
        ],
      ),
    ),
  ),
], { style: "anthropic" })

Report with Tabs

import { page, container, header, row, stat, card, chart, table, tabs, tab, text, markdown, col, dataset, months } from "claw2ui/dsl"

export default page("Monthly Report", [
  container(
    header("Monthly Report", "March 2026"),
    tabs(
      tab("overview", "Overview",
        row(3,
          stat("Users", "12,847", { change: 18.5, icon: "group" }),
          stat("Revenue", "$89K", { change: 24.3, icon: "payments" }),
          stat("Churn", "3.2%", { change: -1.1, icon: "trending_down" }),
        ),
        card("Growth",
          chart("line", {
            labels: months(6),
            datasets: [
              dataset("Users", [8000, 9200, 10100, 11000, 11800, 12847], { borderColor: "#3b82f6" }),
              dataset("Revenue", [52, 58, 65, 72, 81, 89], { borderColor: "#10b981", yAxisID: "y1" }),
            ],
          }),
        ),
      ),
      tab("details", "Details",
        table(
          [col("page", "Page"), col("views", "Views"), col("bounce", "Bounce", "percent")],
          [
            { page: "/", views: "23,456", bounce: 28 },
            { page: "/pricing", views: "12,567", bounce: 22 },
            { page: "/docs", views: "9,876", bounce: 18 },
          ],
        ),
      ),
      tab("notes", "Notes",
        markdown("## Key Takeaways\
\
- Revenue up **24.3%** MoM\
- Churn improved by 1.1pp\
- `/pricing` page has lowest bounce rate"),
      ),
    ),
  ),
], { style: "anthropic" })

Comparison

import { page, container, header, row, card, stat, text, table, col } from "claw2ui/dsl"

export default page("Plan Comparison", [
  container(
    header("Plan Comparison", "Choose the right plan"),
    row(3,
      card("Starter",
        stat("Price", "$9/mo"),
        text("5 users, 10 GB storage"),
      ),
      card("Pro",
        stat("Price", "$29/mo", { icon: "star" }),
        text("25 users, 100 GB storage"),
      ),
      card("Enterprise",
        stat("Price", "Custom", { icon: "business" }),
        text("Unlimited users, 1 TB storage"),
      ),
    ),
    card("Feature Matrix",
      table(
        [col("feature", "Feature"), col("starter", "Starter"), col("pro", "Pro"), col("enterprise", "Enterprise")],
        [
          { feature: "Users", starter: "5", pro: "25", enterprise: "Unlimited" },
          { feature: "Storage", starter: "10 GB", pro: "100 GB", enterprise: "1 TB" },
          { feature: "Support", starter: "Email", pro: "Priority", enterprise: "Dedicated" },
        ],
      ),
    ),
  ),
], { style: "anthropic" })

平台分布

OpenClaw

87.37%
按下载量换算3,446

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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