Trump Tback

基于文本与互动数据的特朗普情绪T-Back分析，区分成就宣传、威胁攻击和中性内容，评估市场情绪动能。

This skill appears coherent for analyzing Trump posts and market momentum. Before installing or running: 1) Confirm you run it in a controlled environment (virtualenv or sandbox) because it executes Python code and may install dependencies. 2) Expect network activity if you call get_market_data() (yfinance) or add external data-source code (the README mentions Truth Social); review any added fetch functions before supplying API keys. 3) The SKILL.md examples use a hard-coded workspace path — adapt commands to your environment. 4) No credentials are requested by the packaged code, but if you integrate real social APIs you will need to provide keys — only provide those to code you trust. If you want extra assurance, review requirements.txt (not included here) and run the code in an isolated container first.

Type: OpenClaw Skill Name: trump-tback Version: 1.0.0 The skill bundle provides a sentiment analysis tool for social media posts, specifically tailored to analyze political and market-related content using a custom 'T-Back' scoring system. The Python scripts (mood_analyzer.py and cross_platform_analyzer.py) implement keyword-based scoring, intensity calculations, and cross-platform comparison logic without any evidence of malicious intent, data exfiltration, or unauthorized execution. While the terminology used in SKILL.md (e.g., 'Missionary/Predator modes') and file names (e.g., 'app_prison.py') is unconventional, the code logic is transparent and aligned with the stated purpose of a mood dashboard. The use of the yfinance library for market data is a legitimate functional requirement.