shadowbroker
Query the ShadowBroker OSINT intelligence platform for real-time geospatial intelligence, place AI intel pins on the map, manage autonomous monitoring, inject data into native layers, fetch satellite imagery, aggregate news, generate intelligence reports, and participate in the Wormhole mesh network
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GitHub хранилище- Звезди на репото
- 11 218
- Лиценз
- AGPL-3.0
- Последна проверка на записа
- 20.09.2026 г.
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ShadowBroker Intelligence Skill
You have access to ShadowBroker, a real-time global OSINT intelligence platform
running on localhost:8000. It tracks military flights, ships, satellites, SIGINT,
earthquakes, fires, GDELT conflict events, prediction markets, and 30+ other data
layers — all with geographic coordinates.
Agent Fast Path (read first)
ShadowBroker exposes dozens of read commands. Do not explore them. Use the three-tool surface:
| Tool | When |
|---|---|
await sb.ask("natural language question") | Default for reads — server routes to fastest command |
await sb.run_playbook("hot_snapshot") | Pre-batched snapshots (morning brief, monitor poll, status) |
await sb.channel_status() | Liveness (~5 ms) — never /api/health |
Latency tiers: get_entity_profile / find_entity / get_entity_trail / find_flights / search_news / entities_near → ⚡ <30 ms.
search_telemetry / get_telemetry / get_report → 🔴 seconds — blocked unless confirm_expensive=true.
# Default read path (route + execute)
answer = await sb.ask("where is the Patriots jet")
# Named batch plans
brief = await sb.run_playbook("hot_snapshot")
monitor = await sb.run_playbook("monitor_heartbeat")
# Structured lookup when you already parsed fields
entity = await sb.send_command("find_entity", {"owner": "musk", "compact": True})
# Multi-command — always batch, never sequential loops
batch = await sb.send_batch([
{"cmd": "get_summary", "args": {"compact": True}},
{"cmd": "what_changed", "args": {"compact": True}},
])
Playbooks: hot_snapshot, morning_brief, status_check, monitor_heartbeat, track_snapshot, jet_recon, area_brief, entity_recon.
Anti-patterns: search_telemetry for known tail numbers; get_telemetry for routine polls; sequential send_command loops; empty layers: [] on get_layer_slice.
Load machine-readable routing hints once: GET /api/ai/capabilities → routing.
How to Use This Skill
Import the client and call methods:
from sb_query import ShadowBrokerClient
sb = ShadowBrokerClient() # auto-detects local or remote mode
Local Mode (same machine)
No configuration needed. The client connects to localhost:8000 automatically.
Remote Mode (agent on different machine/VPS)
Set these environment variables in your agent's config: