shadowbroker

Automate real-time geospatial OSINT collection across flights, ships, satellites, and news.

10.7k|1.7k|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/BigBodyCobain/Shadowbroker --skill shadowbroker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: shadowbroker
Source: https://github.com/BigBodyCobain/Shadowbroker/tree/main/openclaw-skills/shadowbroker
Command: npx skills add https://github.com/BigBodyCobain/Shadowbroker --skill shadowbroker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx>=0.25.0.

What problem does it solve?

Automates real-time geospatial OSINT collection and analysis across multiple data layers for rapid situational awareness.

Core Features & Use Cases

  • Live telemetry across flights, ships, satellites, SIGINT, earthquakes, and news—plus proximity alerts and map pins for AI intel.
  • On-demand satellite imagery, news aggregation, and anomaly detection with Wormhole/InfoNet participation and data injections into native ShadowBroker layers.
  • Time-machine snapshots, geofencing, and cross-layer correlations to support investigations and decision-making.

Quick Start

Instantiate a ShadowBrokerClient and connect to ShadowBroker at localhost:8000 to begin querying real-time intelligence.

Frequently Asked Questions about shadowbroker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate real-time OSINT collection for geospatial intelligence?▼

Geospatial OSINT analysis aggregates telemetry, imagery, and news across layers like flights, ships, and satellites. It applies cross-layer correlations, anomaly detection, and geofencing to support rapid situational awareness and investigations.

Can I track ships, flights, and satellites simultaneously for situational awareness?▼

Yes, tracking ships, flights, and satellites simultaneously is supported through per-layer live telemetry. The system aggregates this real-time data alongside news and earthquake events, applying proximity alerts and cross-layer correlations for investigations.

How do I generate time-machine snapshots for historical geospatial analysis?▼

Time-machine snapshots are generated by querying the geospatial layers to capture historical telemetry and map pins. This allows you to review past events, apply geofencing, and perform cross-layer correlations to support retrospective investigations.

Do I need a local service running to query real-time telemetry and satellite imagery?▼

Yes, you need a local service running to query real-time telemetry and satellite imagery. You must instantiate a client and connect to the service at localhost:8000 to begin requesting data and enforcing secure HMAC-signed API requests.

What is the best way to correlate news aggregation and anomaly detection in geospatial investigations?▼

The best way to correlate news aggregation and anomaly detection is by applying cross-layer correlations across the native data layers. This approach combines live telemetry, on-demand satellite imagery, and news data to identify anomalies and support decision-making.

Does this OSINT approach support data injections into native telemetry layers?▼

Yes, this OSINT approach supports data injections into native telemetry layers through Wormhole and InfoNet participation. This enables you to supplement automated collection with custom data while maintaining per-layer incremental telemetry tracking.