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Agent Skill · 开发

worldmonitor-intelligence-dashboard(世界监测情报仪表板)

worldmonitor-intelligence-dashboard 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

worldmonitor-intelligence-dashboard 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 1,544。

总安装 27,192周安装 1,054GitHub Stars 39下载 8,536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
unknown

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:worldmonitor-intelligence-dashboard(世界监测情报仪表板)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/worldmonitor-intelligence-dashboard
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-intelligence-dashboard
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-intelligence-dashboard

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

worldmonitor-intelligence-dashboard 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在开发协作环境中整理项目状态。它主要服务于 GitHub 生态的自动化处理和信息汇总。通过 npx skills add 命令安装,具体用法需结合原始文档确认。

安装前建议核实权限和维护状态。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/worldmonitor-intelligence-dashboard

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-…;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

worldmonitor-intelligence-dashboard 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-intelligen…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

worldmonitor-intelligence-dashboard 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

worldmonitor-intelligence-dashboard 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。

worldmonitor-intelligence-dashboard 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

worldmonitor-intelligence-dashboard 用的人多吗?

公开数据是累计安装 27,192 次,近一周安装 1,054 次,下载 8,536 次,GitHub 39 星。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。

worldmonitor-intelligence-dashboard 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

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。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

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。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
worldmonitor-intelligence-dashboard

世界监测情报仪表板 · 本页

27,19239接触敏感数据未明确未通过

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

World Monitor Intelligence Dashboard

Skill by ara.so — Daily 2026 Skills collection.

World Monitor is a real-time global intelligence dashboard combining AI-powered news aggregation (435+ feeds, 15 categories), dual map engine (3D globe + WebGL flat map with 45 data layers), geopolitical risk scoring, finance radar (92 exchanges), and cross-stream signal correlation — all from a single TypeScript/Vite codebase deployable as web, PWA, or native desktop (Tauri 2).


Installation & Quick Start

git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev          # Opens http://localhost:5173

No environment variables required for basic operation. All features work with local Ollama by default.

Site Variants

npm run dev:tech       # tech.worldmonitor.app variant
npm run dev:finance    # finance.worldmonitor.app variant
npm run dev:commodity  # commodity.worldmonitor.app variant
npm run dev:happy      # happy.worldmonitor.app variant

Production Build

npm run typecheck        # TypeScript validation
npm run build:full       # Build all variants
npm run build            # Build default (world) variant

Project Structure

worldmonitor/
├── src/
│   ├── components/       # UI components (TypeScript)
│   ├── feeds/            # 435+ RSS/API feed definitions
│   ├── layers/           # Map data layers (deck.gl)
│   ├── ai/               # AI synthesis pipeline
│   ├── signals/          # Cross-stream correlation engine
│   ├── finance/          # Market data (92 exchanges)
│   ├── variants/         # Site variant configs (world/tech/finance/commodity/happy)
│   └── protos/           # Protocol Buffer definitions (92 protos, 22 services)
├── api/                  # Vercel Edge Functions (60+)
├── src-tauri/            # Tauri 2 desktop app (Rust)
├── docs/                 # Documentation source
└── vite.config.ts

Environment Variables

Create a .env.local file (never commit secrets):

# AI Providers (all optional — Ollama works with no keys)
VITE_OLLAMA_BASE_URL=http://localhost:11434       # Local Ollama instance
VITE_GROQ_API_KEY=$GROQ_API_KEY                  # Groq cloud inference
VITE_OPENROUTER_API_KEY=$OPENROUTER_API_KEY      # OpenRouter multi-model

# Caching (optional, improves performance)
UPSTASH_REDIS_REST_URL=$UPSTASH_REDIS_REST_URL
UPSTASH_REDIS_REST_TOKEN=$UPSTASH_REDIS_REST_TOKEN

# Map tiles (optional, MapLibre GL)
VITE_MAPTILER_API_KEY=$MAPTILER_API_KEY

# Variant selection
VITE_SITE_VARIANT=world   # world | tech | finance | commodity | happy

Core Concepts

Feed Categories

World Monitor aggregates 435+ feeds across 15 categories:

// src/feeds/categories.ts pattern
import type { FeedCategory } from './types';

const FEED_CATEGORIES: FeedCategory[] = [
  'geopolitics',
  'military',
  'economics',
  'technology',
  'climate',
  'energy',
  'health',
  'finance',
  'commodities',
  'infrastructure',
  'cyber',
  'space',
  'diplomacy',
  'disasters',
  'society',
];

Country Intelligence Index

Composite risk scoring across 12 signal categories per country:

// Example: accessing country risk scores
import { CountryIntelligence } from './signals/country-intelligence';

const intel = new CountryIntelligence();

// Get composite risk score for a country
const score = await intel.getCountryScore('UA');
console.log(score);
// {
//   composite: 0.82,
//   signals: {
//     military: 0.91,
//     economic: 0.74,
//     political: 0.88,
//     humanitarian: 0.79,
//     ...
//   },
//   trend: 'escalating',
//   updatedAt: '2026-03-17T08:00:00Z'
// }

// Subscribe to real-time updates
intel.subscribe('UA', (update) => {
  console.log('Risk update:', update);
});

AI Synthesis Pipeline

// src/ai/synthesize.ts pattern
import { AISynthesizer } from './ai/synthesizer';

const synth = new AISynthesizer({
  provider: 'ollama',           // 'ollama' | 'groq' | 'openrouter'
  model: 'llama3.2',            // any Ollama-compatible model
  baseUrl: process.env.VITE_OLLAMA_BASE_URL,
});

// Synthesize a news brief from multiple feed items
const brief = await synth.synthesize({
  items: feedItems,             // FeedItem[]
  category: 'geopolitics',
  region: 'Europe',
  maxTokens: 500,
  language: 'en',
});

console.log(brief.summary);    // AI-generated synthesis
console.log(brief.signals);    // Extracted signals array
console.log(brief.confidence); // 0-1 confidence score

Cross-Stream Signal Correlation

// src/signals/correlator.ts pattern
import { SignalCorrelator } from './signals/correlator';

const correlator = new SignalCorrelator();

// Detect convergence across military, economic, disaster signals
const convergence = await correlator.detectConvergence({
  streams: ['military', 'economic', 'disaster', 'escalation'],
  timeWindow: '6h',
  threshold: 0.7,
  region: 'Middle East',
});

if (convergence.detected) {
  console.log('Convergence signals:', convergence.signals);
  console.log('Escalation probability:', convergence.probability);
  console.log('Contributing events:', convergence.events);
}

Map Engine Integration

3D Globe (globe.gl)

// src/components/globe/GlobeView.ts
import Globe from 'globe.gl';
import { getCountryRiskData } from '../signals/country-intelligence';

export function initGlobe(container: HTMLElement) {
  const globe = Globe()(container)
    .globeImageUrl('//unpkg.com/three-globe/example/img/earth-dark.jpg')
    .backgroundImageUrl('//unpkg.com/three-globe/example/img/night-sky.png');

  // Load country risk layer
  const riskData = await getCountryRiskData();

  globe
    .polygonsData(riskData.features)
    .polygonCapColor(feat => riskToColor(feat.properties.riskScore))
    .polygonSideColor(() => 'rgba(0, 100, 0, 0.15)')
    .polygonLabel(({ properties: d }) =>
      `<b>${d.name}</b><br/>Risk: ${(d.riskScore * 100).toFixed(0)}%`
    );

  return globe;
}

function riskToColor(score: number): string {
  if (score > 0.8) return 'rgba(220, 38, 38, 0.8)';   // critical
  if (score > 0.6) return 'rgba(234, 88, 12, 0.7)';   // high
  if (score > 0.4) return 'rgba(202, 138, 4, 0.6)';   // elevated
  if (score > 0.2) return 'rgba(22, 163, 74, 0.5)';   // low
  return 'rgba(15, 118, 110, 0.4)';                    // minimal
}

WebGL Flat Map (deck.gl + MapLibre GL)

// src/components/map/DeckMap.ts
import { Deck } from '@deck.gl/core';
import { ScatterplotLayer, ArcLayer, HeatmapLayer } from '@deck.gl/layers';
import maplibregl from 'maplibre-gl';

export function initDeckMap(container: HTMLElement) {
  const map = new maplibregl.Map({
    container,
    style: 'https://basemaps.cartocdn.com/gl/dark-matter-gl-style/style.json',
    center: [0, 20],
    zoom: 2,
  });

  const deck = new Deck({
    canvas: 'deck-canvas',
    initialViewState: { longitude: 0, latitude: 20, zoom: 2 },
    controller: true,
    layers: [
      // Event scatter layer
      new ScatterplotLayer({
        id: 'events',
        data: getActiveEvents(),
        getPosition: d => [d.lng, d.lat],
        getRadius: d => d.severity * 50000,
        getFillColor: d => severityToRGBA(d.severity),
        pickable: true,
      }),
      // Supply chain arc layer
      new ArcLayer({
        id: 'supply-chains',
        data: getSupplyChainData(),
        getSourcePosition: d => d.source,
        getTargetPosition: d => d.target,
        getSourceColor: [0, 128, 200],
        getTargetColor: [200, 0, 80],
        getWidth: 2,
      }),
    ],
  });

  return { map, deck };
}

Finance Radar

// src/finance/radar.ts pattern
import { FinanceRadar } from './finance/radar';

const radar = new FinanceRadar();

// Get market composite (7-signal)
const composite = await radar.getMarketComposite();
console.log(composite);
// {
//   score: 0.62,
//   signals: {
//     volatility: 0.71,
//     momentum: 0.58,
//     sentiment: 0.65,
//     liquidity: 0.44,
//     correlation: 0.78,
//     macro: 0.61,
//     geopolitical: 0.82
//   },
//   exchanges: 92,
//   timestamp: '2026-03-17T08:00:00Z'
// }

// Watch specific exchange
const exchange = await radar.getExchange('NYSE');
const crypto = await radar.getCrypto(['BTC', 'ETH', 'SOL']);
const commodities = await radar.getCommodities(['GOLD', 'OIL', 'WHEAT']);

Language & RTL Support

World Monitor supports 21 languages with native-language feeds:

// src/i18n/config.ts pattern
import { setLanguage, getAvailableLanguages } from './i18n';

const languages = getAvailableLanguages();
// ['en', 'ar', 'zh', 'ru', 'fr', 'es', 'de', 'ja', 'ko', 'pt',
//  'hi', 'fa', 'tr', 'pl', 'uk', 'nl', 'sv', 'he', 'it', 'vi', 'id']

// Switch language (handles RTL automatically)
await setLanguage('ar');  // Arabic — triggers RTL layout
await setLanguage('he');  // Hebrew — triggers RTL layout
await setLanguage('fa');  // Farsi — triggers RTL layout

// Configure feed language filtering
import { FeedManager } from './feeds/manager';
const feeds = new FeedManager({ language: 'ar', includeEnglish: true });

Protocol Buffers (API Contracts)

// src/protos — 92 proto definitions, 22 services
// Example generated client usage:

import { IntelligenceServiceClient } from './protos/generated/intelligence_grpc_web_pb';
import { CountryRequest } from './protos/generated/intelligence_pb';

const client = new IntelligenceServiceClient(
  process.env.VITE_API_BASE_URL || 'http://localhost:8080'
);

const request = new CountryRequest();
request.setCountryCode('DE');
request.setTimeRange('24h');
request.setSignalTypes(['military', 'economic', 'political']);

client.getCountryIntelligence(request, {}, (err, response) => {
  if (err) console.error(err);
  else console.log(response.toObject());
});

Vercel Edge Function Pattern

// api/feeds/aggregate.ts — Edge Function example
import type { VercelRequest, VercelResponse } from '@vercel/node';
import { aggregateFeeds } from '../../src/feeds/aggregator';
import { getCachedData, setCachedData } from '../../src/cache/redis';

export const config = { runtime: 'edge' };

export default async function handler(req: VercelRequest, res: VercelResponse) {
  const { category, region, limit = '20' } = req.query as Record<string, string>;

  const cacheKey = `feeds:${category}:${region}:${limit}`;
  const cached = await getCachedData(cacheKey);
  if (cached) return res.json(cached);

  const items = await aggregateFeeds({
    categories: category ? [category] : undefined,
    region,
    limit: parseInt(limit),
  });

  await setCachedData(cacheKey, items, { ttl: 300 }); // 5 min TTL
  return res.json(items);
}

Desktop App (Tauri 2)

# Install Tauri CLI
cargo install tauri-cli

# Development
npm run tauri:dev

# Build native app
npm run tauri:build
# Outputs: .exe (Windows), .dmg/.app (macOS), .AppImage (Linux)
// src-tauri/src/main.rs — IPC command example
#[tauri::command]
async fn fetch_intelligence(country: String) -> Result<CountryData, String> {
    // Sidecar Node.js process handles feed aggregation
    // Tauri handles secure IPC between renderer and backend
    Ok(CountryData::default())
}

fn main() {
    tauri::Builder::default()
        .invoke_handler(tauri::generate_handler![fetch_intelligence])
        .run(tauri::generate_context!())
        .expect("error while running tauri application");
}

Docker / Self-Hosting

# Docker single-container
docker build -t worldmonitor .
docker run -p 3000:3000 \
  -e VITE_SITE_VARIANT=world \
  -e UPSTASH_REDIS_REST_URL=$UPSTASH_REDIS_REST_URL \
  -e UPSTASH_REDIS_REST_TOKEN=$UPSTASH_REDIS_REST_TOKEN \
  worldmonitor

# Docker Compose with Redis
docker compose up -d
# docker-compose.yml
version: '3.9'
services:
  app:
    build: .
    ports: ['3000:3000']
    environment:
      - VITE_SITE_VARIANT=world
      - REDIS_URL=redis://redis:6379
    depends_on: [redis]
  redis:
    image: redis:7-alpine
    volumes: ['redis_data:/data']
volumes:
  redis_data:

Vercel Deployment

npm i -g vercel
vercel --prod
# Set env vars in Vercel dashboard or via CLI:
vercel env add GROQ_API_KEY production
vercel env add UPSTASH_REDIS_REST_URL production
vercel env add UPSTASH_REDIS_REST_TOKEN production

Common Patterns

Custom Feed Integration

// Add a custom RSS feed to the aggregation pipeline
import { FeedRegistry } from './src/feeds/registry';

FeedRegistry.register({
  id: 'my-custom-feed',
  name: 'My Intelligence Source',
  url: 'https://example.com/feed.xml',
  category: 'geopolitics',
  region: 'Asia',
  language: 'en',
  weight: 0.8,           // 0-1, affects signal weighting
  refreshInterval: 300,  // seconds
  parser: 'rss2',        // 'rss2' | 'atom' | 'json'
});

Custom Map Layer

// Register a custom deck.gl layer in the 45-layer system
import { LayerRegistry } from './src/layers/registry';
import { IconLayer } from '@deck.gl/layers';

LayerRegistry.register({
  id: 'my-custom-layer',
  name: 'Custom Events',
  category: 'infrastructure',
  defaultVisible: false,
  factory: (data) => new IconLayer({
    id: 'my-custom-layer-deck',
    data,
    getPosition: d => [d.lng, d.lat],
    getIcon: d => 'marker',
    getSize: 32,
    pickable: true,
  }),
});

Site Variant Configuration

// src/variants/my-variant.ts
import type { SiteVariant } from './types';

export const myVariant: SiteVariant = {
  id: 'my-variant',
  name: 'My Monitor',
  title: 'My Custom Monitor',
  defaultCategories: ['geopolitics', 'economics', 'military'],
  defaultRegion: 'Europe',
  defaultLanguage: 'en',
  mapStyle: 'dark',
  enabledLayers: ['country-risk', 'events', 'supply-chains'],
  aiProvider: 'ollama',
  theme: {
    primary: '#0891b2',
    background: '#0f172a',
    surface: '#1e293b',
  },
};

Troubleshooting

ProblemSolution
Map not renderingCheck VITE_MAPTILER_API_KEY or use free CartoBasemap style
AI synthesis slow/failingEnsure Ollama is running: ollama serve && ollama pull llama3.2
Feeds returning 429 errorsEnable Redis caching via UPSTASH_REDIS_REST_* env vars
Desktop app won't buildEnsure Rust + cargo install tauri-cli + platform build tools
RTL layout brokenConfirm lang attribute set on <html> by setLanguage()
TypeScript errors on buildRun npm run typecheck — proto generated files must exist
Redis connection refusedCheck REDIS_URL or use Upstash REST API instead of TCP
npm run build:full fails mid-variantBuild individually: npm run build -- --mode finance

Ollama Setup for Local AI

# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# Pull recommended model
ollama pull llama3.2          # Fast, good quality
ollama pull mistral           # Alternative
ollama pull gemma2:9b         # Larger, higher quality

# Verify Ollama is accessible
curl http://localhost:11434/api/tags

Verify Installation

npm run typecheck   # Should exit 0
npm run dev         # Should open localhost:5173
# Navigate to /api/health for API status
curl http://localhost:5173/api/health

Resources

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

Codex

33.23%
按下载量换算2,837

Claude

29.12%
按下载量换算2,486

Cursor

18.54%
按下载量换算1,583

Gemini CLI

9.31%
按下载量换算795

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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