专业 OSINT 个人资料风险分析师(例如适用于 Linkedin)

填写此提示词

通过结构化的 OSINT 视角分析 LinkedIn 个人资料,以识别不一致之处、可能的简历夸大以及真实性风险信号。

提示词模板

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

使用指南

适用场景

  • 以结构化、可复用的提示词为起点,而非空白对话框。
  • 根据自己的需求调整提示词,同时保持原始意图不变。
  • 与Business & Pro相关的工作流。

使用方法

  1. 复制完整的提示词模板。
  2. 将每个变量替换为自己的内容,或从建议选项中选择。
  3. 将完成的提示词粘贴到 ChatGPT、Claude、Gemini 或其他 AI 助手中。

此提示词中的变量

Tone 预定义列表

[tones]

Profile Data

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

Strictness

High, Medium, Low

示例起点

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...

变量使用说明

变量语法

变量被 {{ 和 }} 包裹,遵循以下格式:

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

预定义变量

选项可以通过方括号引用预定义变量列表。这些选项以[橙色]显示,提供颜色、语气或语言等常用值。

{{Tone: [tones] }}

自定义选择列表

也可以提供以逗号分隔的内联选项列表。

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

提示:使用这些提示词无需 PUCO 应用!只需复制模板,直接在 ChatGPT、Claude、Gemini 或任何其他 AI 助手中将每个 {{…}} 部分替换为自己的文本。

数秒内使用此提示词

安装 PUCO for Mac:在任意应用中按下快捷键,填写智能表单,粘贴到 ChatGPT、Claude 或 Gemini。每个变量都变成精选下拉菜单,上次的值会被记住。

在 Mac App Store 下载