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Open Source Intelligence Collector
Plan, collect, and synthesize lawful defensive intelligence into structured exposure reports and investigation briefs.
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See it in action
You say
Analyse these passive DNS records, certificate transparency log exports, and repository search results for my company domain example.com and produce an external exposure report. This is an authorised assessment on our own infrastructure. I need key findings, a source log with timestamps, confidence assessments, and recommended defensive actions.
Your agent does
The skill confirms the objective, scope, and collection authority, then analyses the supplied evidence to identify subdomains, certificate patterns, repository exposures, and associated infrastructure. It produces an exposure report covering key findings, an evidence table with source, timestamp, and confidence rating for each finding, a defensive implications section, and recommended remediation actions. Unvalidated findings are marked as requiring further evidence rather than stated as confirmed. A source log and validation questions are included for traceability.
What you get
About this skill
Professional Defensive Intelligence Analysis
The Open Source Intelligence (OSINT) Collector is a specialized skill designed for cybersecurity professionals, threat intelligence analysts, and incident responders. It bridges the gap between raw data collection and actionable defensive intelligence by providing a structured framework for investigating domains, infrastructure, and digital exposure.
What it does
This skill automates the rigorous process of intelligence gathering. It helps you define intelligence requirements, analyze public metadata (DNS, certificates, repositories), and synthesize findings into high-confidence reports. It acts as a digital investigator that ensures every finding is backed by evidence, timestamped, and assessed for reliability.
- Requirement Mapping: Defines Priority Intelligence Questions (PIQs) to focus your investigation.
- Evidence Synthesis: Converts raw tool outputs (e.g., DNSDB, Censys, Shodan) into structured findings.
- Defensive Reporting: Generates exposure registers, investigation briefs, and remediation trackers.
- Confidence Scoring: Separates confirmed facts from inferences using standard intelligence models.
Why use this skill?
Instead of manually correlating infrastructure or prompting an AI with unstructured data, this skill enforces strict "quality gates." It prevents common AI hallucinations in intelligence work by requiring source provenance for every claim and refusing to speculate on attribution without multi-source corroboration. It ensures your OSINT activities remain lawful, defensive, and ready for executive review.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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