Precise T Trading

This skill appears to implement the advertised trading calculations and uses Tencent's quote API, but there are some concerning inconsistencies you should address before running it: 1) Missing/incorrect files: SKILL.md tells you to edit scripts/config.py but that file is not present in the package. The code expects certain config values; locate where to set them (some defaults exist in t_trading_analysis.py) or contact the author. 2) Hard-coded author paths: scripts/stock_monitor.py writes logs to a hard-coded Windows path (I:\OpenClawWorkspace\stocks\监控日志). Edit this to a safe, relative, or configurable directory before running to avoid surprising writes or failures. 3) Run in a contained environment: use a Python virtual environment, inspect the scripts, and run them locally (paper-trade / no real orders). The package does not request credentials, but it will access the network (qt.gtimg.cn) to fetch quotes. 4) Test and review: run t_trading_analysis.py with test inputs and verify outputs. Because some code uses simulated historical data and placeholder values, validate the math and data sources before trusting recommendations. 5) If you plan to use monitoring: change the log/cache paths to a directory you control, and consider running monitor_once() instead of the continuous loop until you confirm behavior. What would change this assessment: inclusion of the expected config.py, removal of author-local absolute paths (or making paths user-configurable), and consistent documentation (or publish scripts) would raise confidence to benign. Conversely, discovery of hidden network endpoints, credential collection, or obfuscated code would raise severity.