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.