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Data-UnixData-Unix/MCP-MALTEGO/.claude/skills/identity-footprint/SKILL.md

identity-footprint

Skill1 starsChanged 14 days agoMITView on GitHub

Rastreo de identidad digital con el MCP maltego (PersonalFootprint y EmailRecon) - desde un correo o alias hasta alias, perfiles públicos, filtraciones conocidas (HIBP) y dominio y servidores de correo asociados, con salvaguardas legales y de privacidad. Úsala cuando el objetivo sea una persona o cuenta.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No publiques ni compartas datos personales fuera del caso.

    line 25

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Huella de identidad digital (PersonalFootprint / EmailRecon)

Antes de empezar: confirma base legítima (investigación autorizada, propia, o protección de la propia organización) y minimiza datos: no recojas más de lo necesario (RGPD).

  1. Correo → osint_run_machine(machine="EmailRecon"): dominio, alias, filtraciones (BreachSemanticPivot y HIBPEmailToBreaches), MX/NS/WHOIS del dominio y perfiles del alias.
  2. Alias, persona o perfil HUMINT → osint_run_machine(machine="PersonaFootprint", max_rounds=2) o PersonalFootprint: AliasToProfiles, GitHubAliasToDetails, GravatarEmailToProfile, BreachSemanticPivot y AnalyzeSubjectBehavior (genera rasgos humint.PsychologicalTrait etiquetados como [Hipótesis], humint.LocationHistory y humint.Organization).
  3. Correlación matemática de identidades → osint_link_entities(action="correlate") evalúa similitud de handle, metadatos, estilometría (3-gramas) y solapamiento de vecindario Jaccard; enlaza automáticamente si >= 85 %.
  4. Línea temporal del sujeto y desconflicción → osint_get_timeline(mode="subject") consolida fechas de creación, filtraciones y actividad detectando paradojas cronológicas, saltos de huso horario y rotación post-brecha.
  5. Coincidencia de alias ≠ misma persona: marca la confianza baja (osint_manage_entity confidence=0.3) hasta corroborarla con otra evidencia y anótalo en notes.
  6. Correlación entre casos: osint_search_entities con case_id vacío.
  7. Entrega: informe con hechos, hipótesis y fuentes; .mtgx con layout radial alrededor de la persona. No publiques ni compartas datos personales fuera del caso.

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