Quant Trading Assistant

量化交易助手 - A股技术分析+量化选股。 用于：分析A股实时行情、计算技术指标（均线/KDJ/MACD/布林带）、 量化选股策略、生成交易信号、龙虎榜/情绪周期判断。 触发场景：问股票、分析行情、选股推荐、风险提示、技术指标计算。

This skill appears to do what it claims: fetch public A‑share market data from Tencent/Sina and compute technical indicators. Before installing, consider: (1) outbound network calls — every symbol/query you ask the skill for is sent to third‑party finance APIs (Tencent/Sina), so treat queries as observable by those services; (2) provenance — the repository/source URL is not an authoritative upstream repo in the package metadata, so if you require strong supply‑chain assurance you may want to review the full source or prefer a vetted package; (3) accuracy — quant_screen uses a small hardcoded candidate list (not a live fundamental feed), so do not treat results as authoritative trading advice; (4) financial risk — the skill includes a disclaimer but any trading decisions remain your responsibility. If you need stronger guarantees, inspect the full Python file locally and run it in an isolated environment, or adapt data sources to your trusted feeds.

Type: OpenClaw Skill Name: quant-trading-assistant Version: 1.0.1 The skill is a legitimate quantitative trading assistant for the A-share market. It fetches real-time market data and K-line history from public Tencent (qt.gtimg.cn) and Sina (money.finance.sina.com.cn) APIs to calculate standard technical indicators like MACD, KDJ, and Bollinger Bands. The Python code (quant_trading_assistant.py) is well-structured, lacks any obfuscation, and contains no evidence of data exfiltration, unauthorized network calls, or malicious execution patterns. The instructions in SKILL.md are consistent with the code's functionality and do not attempt to manipulate the agent's behavior for harmful purposes.