Collect subdomains, DNS records, WHOIS data, and TLS details for domains.
npx skills add https://github.com/MarbleSodas/Mavis --skill domain-intel-marblesodas
Please help me install this Agent Skill. Skill: domain-intel Source: https://github.com/MarbleSodas/Mavis/tree/main/optional-skills/research/domain-intel Command: npx skills add https://github.com/MarbleSodas/Mavis --skill domain-intel-marblesodas
It helps you quickly gather actionable intelligence about a domain (and its ecosystem) without manually hopping between tools or requiring API keys.
Ask the AI: run the domain-intel skill in bulk mode for example.com, github.com, and google.com and return JSON containing subdomains, TLS details, WHOIS fields, DNS records, and availability verdicts.
High-intent search queries and answers about installing and using this skill.
Passive domain reconnaissance without external APIs is executed using Python stdlib to collect subdomains, DNS records, WHOIS data, and TLS certificate details by querying system DNS, Google DoH, port-43 WHOIS, and crt.sh.
Domain availability is checked by combining passive DNS resolution, port-43 WHOIS registration signals, and port-443 SSL reachability to estimate whether a target domain is currently registered.
Subdomains are discovered by querying Certificate Transparency logs via crt.sh to map likely related hosts and infrastructure for a given target domain.
Yes, DNS records including MX, NS, TXT, and CNAME are retrieved via system DNS and Google DoH, while TLS certificate issuer, SANs, and expiry details are inspected by connecting to port 443, all using Python stdlib.
WHOIS registration signals are gathered by connecting to port-43 WHOIS services to collect registration data for infrastructure due diligence and pre-onboarding risk assessment.
Bulk domain reconnaissance is run by passing multiple target domains to the skill, which returns a single JSON structure containing subdomains, TLS details, WHOIS fields, DNS records, and availability verdicts.
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