social-persona-profiling

Description

Profile people from social-media traces — avatar, profile/cover background, nickname, privacy/visibility settings, chat behavior, shared content, self-reported labels — across platforms (WeChat, WhatsApp, Instagram, LinkedIn, Telegram, X) and cultures, and deliver an honest, evidence-weighted persona read, relationship analysis, or "what should I do next" guidance. Built for anyone sizing up a colleague, date, friend, or stranger from limited online signals. Capabilities: Big Five (OCEAN) trait estimation, self-presentation & self-monitoring (Goffman/Snyder), Higgins self-discrepancy, defense mechanisms (Vaillant), attachment and burnout signals, three-layer persona mapping (public persona / private self / self-reported), relationship-crisis attribution, and exploratory non-directive next-step discussion by scenario (workplace / dating / friendship / scam detection). Safeguards: three-tier confidence grading (objective fact / behavioral inference / working hypothesis), moderator adjustment for age, culture (individualist vs collectivist), platform, personality baseline and digital-native generation, projection-symmetry check, and a Barnum-effect filter that deletes any statement true of anyone. Use it when someone asks: "what does this profile picture say about them", "analyze this person's personality", "is this person trustworthy", "should I get closer to this coworker", "what should I do about this relationship", "is this a scam". 中文摘要：基于社交痕迹（头像/profile封面/昵称/可见性/聊天记录/分享内容/自述标签，跨平台跨文化）做人物侧写、关系分析与行动指导。以大五人格为科学主轴，辅以自我呈现/自我监控、Higgins 自我差异、防御机制、依恋、burnout；强制年龄/文化/平台/性格基线/数字化世代调节，三层置信度分级，投射对称性检查与巴纳姆效应过滤。适用于分析头像人格、判断关系状态/危机、评估话语可信度、并给出"接下来该怎么办"的咨询指导（职场/亲密/朋友/防骗）。

Install social-persona-profiling

Run this in your OpenClaw agent to add social-persona-profiling from the ClawHub registry.

Requires ClawHub registry access. Review the security analysis below before installing.

Related skills

Frequently asked questions