Clearfront OSINT: AI-Powered Digital Footprint Scanner
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Clearfront OSINT: AI-Powered Digital Footprint Scanner
Clearfront OSINT is a free, open-source tool designed to scan and analyse a digital footprint. It reviews public information related to emails, usernames, phone numbers, names, domains, or IP addresses. It examines exposure, breached or leaked credentials, accounts reused across platforms, data broker listings, GPS tagged photos, and provides authorised reconnaissance for targets as permitted. Results are compiled into a comprehensive report, highlighting the source, confidence, and severity of each finding. All operations are executed locally.
What this skill does
Utilises approximately 30 collection tools across more than 3,400 public data sources.
Checks username presence across thousands of sites, and monitors databases like Have I Been Pwned, Hudson Rock, Shodan, Censys, VirusTotal, crt.sh, and Wayback Machine.
Generates an evidence graph linking findings from diverse sources.
Employs an AI security analyst to draft reports detailing each finding with source references, confidence ratings, and severity levels.
Ensures operations are localised, using user-provided API keys, maintaining privacy and control without sending data back to any external server.
Who it is for
This tool is intended for developers and teams utilising AI coding agents like Claude Code, Cursor, and Codex, who require comprehensive digital footprint analysis either for security purposes, research, or other investigative needs.
Use cases
Individuals wanting to assess their own digital exposure through a comprehensive scan of public data available related to personal identifiers.
Security teams conducting authorised security assessments on their systems or entities they have clearance to scan.
Analysts requiring detailed reports on public information distribution across multiple platforms for risk evaluation.
Technical details
Integrates with public databases and search tools including Have I Been Pwned, Shodan, and GreyNoise.
Operates entirely locally with user-supplied API keys using environment variables, ensuring control over sensitive data.
Can utilise AI services via `--provider anthropic` or an OpenAI-compatible endpoint for enhanced analysis through user-managed keys.
Data collection pertains strictly to publicly accessible information, adhering to the respective sites' terms of use without bypassing authentication or CAPTCHA.
For authorised security testing, defensive research and educational use only.
Source & Licence
This package is built on open-source work published by scottmartinanderson (scottmartinanderson/clearfront) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.