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.