No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by koala73 · MCP Server · ★ 87.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is worldmonitor safe to install? View the security audit →
World Monitor Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. <img src="https://img.shields.io/badge/WebApp-worldmonitor.app-blue?style=for-the-badge&lo
| Stars | 87,731 |
| Forks | 13,377 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 63.9696963868754/100 |
| Open Issues | 347 |
| Last Updated | 2026-10-04 |
| Created | 2026-01-08 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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worldmonitor is Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. It is categorized as a MCP Server with 87.7k GitHub stars.
worldmonitor is primarily written in TypeScript. It covers topics such as agent, ai, dashboard.
You can find installation instructions and usage details in the worldmonitor GitHub repository at github.com/koala73/worldmonitor. The project has 87.7k stars and 13377 forks, indicating an active community.
worldmonitor is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to worldmonitor on Agent Skills Hub include TrendRadar, gpt-researcher, n8n. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: