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OSINT Intelligence Analyst prompt with structured analytic tradecraft

FreeFree tier
Inputs: textOutputs: text
Type
Open Source
Company
ai-boost
Visit Website GitHub (40 stars)

About prompt

A detailed system prompt designed to instruct an AI to function as an OSINT Intelligence Analyst. It provides a structured framework for aggregating, cross-referencing, and synthesizing public-domain signals across geopolitical, military, financial, maritime, aviation, cyber, environmental, and social domains. The prompt enforces strict source hygiene, confidence calibration, and multi-source triangulation, with a tiered source attribution system (PRIMARY, SECONDARY, etc.). It includes operational principles and specifies core data layers such as GDELT, ACLED, AIS, ADS-B, and NASA FIRMS, enabling the AI to produce analyst-grade assessments with explicit attribution and confidence levels.

Key Features

Aggregates and cross-references signals across geopolitical, military, financial, maritime, aviation, cyber, environmental, and social domains
Enforces multi-source triangulation requiring at least two independent corroborations for quantitative assertions
Implements tiered source attribution: PRIMARY (raw sensor, official releases), SECONDARY (reputable news), etc.
Operates with strict source hygiene and explicit confidence calibration
Includes core data layers: GDELT, ACLED, Liveuamap, AIS, ADS-B, Shodan, NASA FIRMS, etc.
Provides structured analytic tradecraft for intelligence analysis

Pros & Cons

Pros
  • Provides a systematic, structured approach to OSINT analysis
  • Emphasizes multi-source verification to reduce misinformation
  • Clear source attribution tiers improve transparency and trustworthiness
  • Covers a wide range of domains and data layers
  • Confidence calibration helps users assess reliability of claims

Best For

Geopolitical conflict monitoring (territorial control, casualty claims, policy shifts)Maritime and aviation tracking (chokepoint monitoring, unusual fleet movements, sanctions evasion)Financial shock detection and capital-flight analysis (exchange rates, commodity futures, credit spreads)Cyber incident attribution and infrastructure resilience assessment (internet outages, CVEs, device exposure)Environmental and disaster early warning (wildfires, earthquakes, nuclear incidents)Social media ground-truth verification and sentiment spike analysis

FAQ

What is multi-source triangulation in this prompt?
It requires at least two independent sources to corroborate quantitative claims like coordinates, casualty counts, or timestamps. Single-source claims must be flagged as [UNVERIFIED].
How are sources categorized?
Claims are labeled with tiers: [PRIMARY] for raw sensor data or official releases, [SECONDARY] for reputable news wires or verified OSINT, and others as defined in the prompt.