趋势启动扫描器

基于历史技术指标验证，实时扫描筛选处于上升趋势初期的潜力股票，评分≥60分为重点关注标的。

Before installing or running this skill: 1) Expect to need Python and packages (pandas, numpy, baostock, requests, etc.) — the SKILL.md/metadata do not list them. 2) Inspect or change the hard-coded DATA_DIR and sys.path entries (they point to C:/Users/Administrator/.qclaw/…), otherwise the scripts may read/write data in those locations or fail on non-Windows systems. 3) The code makes network calls to baostock and Tencent (web.ifzq.gtimg.cn) to fetch market data — ensure you are comfortable allowing those requests. 4) Run the code first in an isolated environment (sandbox or container) so you can observe file I/O and network traffic. 5) Ask the publisher to provide a clear dependency list, configurable data directory, and a concise README describing which scripts are intended for real-time scanning vs. offline backtesting. If you need this skill to run inside a restricted environment (no network or no file writes), request a version that documents and parameterizes those behaviors.

Type: OpenClaw Skill Name: trend-launch-scanner Version: 1.1.0 The bundle provides a comprehensive stock trend scanning and backtesting system that fetches financial data from legitimate Tencent and Eastmoney APIs. It is classified as suspicious due to significant environmental flaws and poor encapsulation, specifically the extensive use of hardcoded absolute paths to a specific Windows user profile (C:/Users/Administrator) across multiple files like backtest_80plus.py and trend_scanner.py. Additionally, trend_scanner.py attempts to modify the Python path to import modules from three levels above the skill's root directory (../../../scripts), which constitutes an attempt to access files outside the intended skill scope.