Trader Simulator

🤖 OpenClaw Skill /skills | 炒股大师模拟器 | 股市模拟交易练习 | A股/港股/美股投资学习 | 化身文主任/股神老徐/炒股养家/孙宇晨等各位大师学习投资思路 | 多智能体股票讨论群 | AI Agent | Trading Simulator | 量化投资 | 金融科技 | Fin...

This skill appears to implement a multi-agent trading simulator and does not contain obvious exfiltration code, but there are several inconsistencies you should resolve before installing: - SKILL.md requires an 东方财富 (MX) API Key and instructs you to put it into related mx-* skills, but the registry metadata lists no required env vars; confirm where and how keys are stored and that you only put secrets into trusted, audited skills. - The bundled MXTools implementation currently returns simulated responses rather than performing real inter-skill calls; confirm whether, in your OpenClaw runtime, the skill will actually call mx_data/mx_search/etc. (the skill claims to rely on those). If you expect live data, test that it invokes the platform messaging interface rather than the simulated stubs. - There are naming mismatches and duplicates: the code references mx_selfselect/mx_select_stock/stock-monitor-skill in different places, and there are two masters.json files (top-level data/masters.json vs. scripts/data/masters.json). Ask the author to clarify which dependency names are required and which masters.json is authoritative to avoid confusion or accidental data overwrites. - Because this skill produces trading analysis, treat outputs as educational only; it can generate actionable-sounding advice but contains disclaimers. If you will use real account automation tied to these suggestions, audit the dependency skills (mx-data, mx-search, stock-monitor-skill) for how they handle credentials and order execution. If you want to proceed: contact the publisher (or inspect the repository) to confirm the above items are fixed/clarified, and test in a sandboxed environment with no real trading credentials until you verify the integration behavior.

Type: OpenClaw Skill Name: trader-simulator Version: 1.5.3 The trader-simulator skill is a legitimate multi-agent simulation tool designed to provide stock market analysis through various personas. The code in trader_simulator.py and analyze_douyin.py implements a structured framework for aggregating financial data and generating reports based on predefined investment philosophies. While the skill requires integration with external financial data APIs (mx-data, mx-search) and suggests broad tool-calling capabilities for research, these are aligned with its stated purpose. There is no evidence of malicious intent, data exfiltration, or unauthorized execution; the instructions in SKILL.md are focused on persona role-playing and standard workflow orchestration.