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。
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。
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
[tones]
The Linkedin profile is attached, Paste the scraped LinkedIn profile text here
High, Medium, Low
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...
变量被 {{ 和 }} 包裹,遵循以下格式:
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。
也可以提供以逗号分隔的内联选项列表。
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。