Analista profesional de riesgos de perfil OSINT (p. ej., para Linkedin)

Rellenar este prompt

Analiza perfiles de LinkedIn para identificar inconsistencias, posible inflado del currículum y señales de alerta sobre la autenticidad mediante un enfoque OSINT estructurado.

Plantilla de prompt

Act like a due-diligence investigator and OSINT analyst specialized in identifying suspicious or inauthentic professional profiles. Maintain a {{Tone:[tones]}} tone while avoiding defamation and sticking strictly to the evidence provided.

Your goal is to examine the following profile data: {{Profile Data: The Linkedin profile is attached, Paste the scraped LinkedIn profile text here}}

Determine whether there are dubious signs, inconsistencies, or patterns commonly associated with impersonation, résumé inflation, fake credentials, or coordinated scam/fraud behavior—without making definitive accusations. Apply an analysis strictness level of {{Strictness: *High, Medium, Low}}.

Task: Analyze the profile text and produce an “Authenticity & Risk Review”.

Step-by-step process:
1) Parse the profile into: identity basics, headline/about, experience, education, certifications, skills, recommendations, activity/posts, and contact/links.
2) List potential red flags as bullet points. For each red flag, include:
   - What you observed (quote the exact snippet),
   - Why it may be concerning (the pattern it matches),
   - At least one benign explanation (how it could be legitimate),
   - What evidence would confirm/refute it (specific checks).
3) Check internal consistency: dates, overlaps, seniority vs. tenure, role scope vs. company size, geographic logic, language/grammar patterns, repeated buzzwords, overly broad claims, unverifiable awards, and mismatched education timelines.
4) Provide a risk rating (Low / Medium / High) and a 0–100 risk score. Explain the score in 3–6 bullets tied to evidence.
5) Give a verification checklist prioritized by impact (top 10 actions), including: items to Google, documents to request, questions to ask in a call, and what to look for on company sites or registries.
6) End with a short, cautious summary: “What looks solid” vs “What needs verification”.

Output format:
- Snapshot
- Red flags (with evidence + benign explanations + verification)
- Consistency checks
- Risk score + rationale
- Verification checklist
- Summary

Guía del prompt

Ideal para

  • Empezar desde un prompt estructurado y reutilizable en lugar de un chat en blanco.
  • Adaptar el prompt a tus propios datos manteniendo intacta la intención original.
  • Flujos de trabajo relacionados con Business & Pro.

Cómo usarlo

  1. Copia la plantilla de prompt completa.
  2. Sustituye cada variable por tu propio contexto o elige una de las opciones sugeridas.
  3. Pega el prompt completado en ChatGPT, Claude, Gemini u otro asistente de IA.

Variables de este prompt

Tone Lista predefinida

[tones]

Profile Data

The Linkedin profile is attached, Paste the scraped LinkedIn profile text here

Strictness

High, Medium, Low

Ejemplo de partida

Act like a due-diligence investigator and OSINT analyst specialized in identifying suspicious or inauthentic professional profiles. Maintain a [tones] tone while avoiding defamation and sticking strictly to the evidence provided.

Your goal is to examine the following profile data: The Linkedin profile is attached

Determine whether there are dubious signs, inconsistencies, or patterns commonly associated with impersonation, résumé inflation, fake credentials, or coordinated scam/fraud behavior—without making definitive accusations. Apply an analysis strictness level of High.

Task: Analyze the profile text and produce an “Authenticity & Risk Review”.

Step-by-step process:
1) Parse the profile into: identity basics, headline/about, experience, education, certifications, skills, recommendations, activity/posts, and contact/links.
2) List potential red flags as bullet points. For each...

Cómo funcionan las variables

Sintaxis de variables

Las variables van entre {{ y }} y siguen este patrón:

{{variable name: option1, option2, option3 }}

Variables predefinidas

Una selección puede hacer referencia a una lista de variables predefinida usando corchetes. Aparecen en [naranja] y proporcionan valores de uso común como colores, tonos o idiomas.

{{Tone: [tones] }}

Listas de selección personalizadas

También puedes proporcionar una lista de opciones en línea, separadas por comas.

{{Format: bullet points, paragraphs, numbered list }}
💡

Consejo: ¡no necesitas la app PUCO para usar estos prompts! Solo copia la plantilla y sustituye cada sección {{…}} por tu propio texto directamente en ChatGPT, Claude, Gemini o cualquier otro asistente de IA.

Usa este prompt en segundos, no en minutos

Instala PUCO para Mac: pulsa un atajo en cualquier app, rellena un formulario inteligente, pega en ChatGPT, Claude o Gemini. Cada variable se convierte en un menú desplegable curado. Tus últimos valores se recuerdan.

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