Stock Pulse

A股智能决策仪表盘：一条命令看今日该买卖什么。输入股票代码，AI分析技术面+筹码，输出买/卖/观望信号和精确点位、单日走势图、月/年价格预测（蒙特卡洛）、综合买入建议。当用户想分析股票、看走势、预测价格、生成选股建议时触发。

This skill's functionality (baostock + LLM) matches its description, but the package metadata is inconsistent with the SKILL.md and handler.py which require LLM_API_KEY, LLM_BASE_URL, and LLM_MODEL. Before installing or running: 1) confirm the skill source/owner and review the complete handler.py for any hidden network endpoints or unexpected file/credential access; 2) ensure LLM_BASE_URL points to a trusted model provider (an attacker-controlled model endpoint could capture prompts/data); 3) only provide FEISHU/WECHAT webhooks you control and understand what will be sent; 4) run the skill in a limited/sandboxed environment (no elevated privileges) and inspect network activity if possible; 5) ask the publisher to fix the registry metadata so required env vars are declared accurately — inconsistent metadata is a red flag. If you cannot validate the source or the full code, treat it cautiously and do not expose high-value credentials.

Type: OpenClaw Skill Name: stock-pulse Version: 1.2.5 The stock-pulse skill bundle is a legitimate financial analysis tool designed to provide A-share stock insights using the baostock library and LLM-based analysis. The code in handler.py implements standard statistical methods (Monte Carlo simulations) and visualizes data via ASCII charts. Network activity is limited to fetching stock data, communicating with a user-configured LLM endpoint, and optionally sending alerts to Feishu/WeChat webhooks as documented. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found.