X Profile Deep Dive

深度分析 X/Twitter 用户画像——通过 tweety-ns 抓取推文、关注和粉丝， 生成中文深度档案（主题分类、内容风格、社交网络）。 Use when: (1) 用户说"深挖 @xxx"/"分析这个博主"/"analyze @xxx", (2) 用户说"看看他都发了什么"/"这个人什么水平"/"值不值得...

This skill appears coherent and implements what it promises, but it requires you to supply Twitter/X authentication cookies and to allow browser-driven scraping. Cookies are sensitive: anyone with them could potentially act as your account. Before installing or running, (1) review the tweety-ns package source (pip package) so you understand what network calls it makes, (2) only provide cookies you can revoke or rotate (and prefer creating a throwaway/login with limited access if possible), (3) run the skill in an isolated environment if you are concerned about local data exfiltration, and (4) confirm you have the legal/right-to-scrape the target content (site Terms of Service, privacy laws). Finally, inspect the included scripts (they are present and readable) to verify no unexpected remote endpoints or write actions are added; the code provided appears read-only and focused on collection+analysis, not posting or interacting on behalf of the user.

Type: OpenClaw Skill Name: x-profile-deep-dive Version: 1.0.4 The skill bundle provides a comprehensive tool for analyzing X (Twitter) profiles using the 'tweety-ns' library and browser automation. The code in 'x_profile_analyzer.py' and 'tweety_utils.py' is well-structured, focusing on data extraction, statistical analysis, and local storage of results without any evidence of data exfiltration or malicious execution. The 'SKILL.md' file contains detailed, task-oriented instructions for the AI agent to handle complex web behaviors like virtual scrolling and thematic content classification, all of which align with the stated purpose of generating deep user dossiers.