Stock Monitor Pro

专业级智能股票监控预警系统 V2.1。支持收盘日报自动生成、反爬虫优化(Session级UA、多数据源冗余)、成本百分比预警、均线金叉死叉、RSI超买超卖、成交量异动监控、智能错误提醒。符合中国投资者习惯（红涨绿跌）。Use when user needs stock market monitoring, pri...

What to consider before installing/running: - Packaging inconsistencies: README and SKILL.md mention config.example.py and RULE_REVIEW_REPORT.md that are not present. The included test suite also references specific symbols and a hard-coded user path (/home/wesley/...), so the bundle appears incompletely packaged or adapted from a different developer environment. Expect runtime errors unless you fix or supply the missing files. - Tests are brittle: test_suite asserts the presence of stock codes and gold data that the WATCHLIST in the monitors may not contain. Don't assume the tests will pass on your machine; review and adapt tests before running. - Persistent daemon behavior: control.sh launches a background Python process and writes logs/pid under $HOME/.stock_monitor. If you install, the process will run continuously (as intended) — run it in a sandbox or container first, and inspect the log file for unexpected behavior. Use the provided stop/status commands to manage it. - Network activity: the code fetches market data from multiple public endpoints and uses anti-scraping headers (rotating UA, fingerprint headers, randomized delays). This is consistent with scraping market data but be aware of potential rate-limiting and the ethics/legality of aggressive scraping for some data providers. No evidence of exfiltration to private endpoints, but all network traffic is external — review firewall/network policies if needed. - Hard-coded paths and assumptions: the bundle contains developer-era hard-coded paths and assumptions (user home paths, specific symbol expectations). Before running with your real holdings, inspect and/or edit WATCHLIST and any configuration to ensure it matches your assets and risk tolerances. Recommended actions: 1. Inspect the scripts (monitor_v2.py, monitor.py, analyser.py) locally; grep for any URLs or destinations you don’t recognize (there are only public finance APIs in the package). 2. Run the code in an isolated environment (container or VM) first. 3. Provide or adapt a config (the README suggests config.example.py — create a small config or edit WATCHLIST inline). 4. Remove or fix hard-coded absolute paths in test_suite or run tests only after adapting them to your environment. 5. If you will run the daemon long-term, limit its filesystem permissions and monitor outbound connections. Given the coherence with the claimed functionality but the packaging and test inconsistencies, proceed cautiously rather than trusting it as-is.

Type: OpenClaw Skill Name: stock-monitor-pro Version: 2.1.0 The skill bundle is a functional stock market monitoring and alerting system tailored for the Chinese market. It fetches real-time data and technical indicators from legitimate financial sources including Sina, Tencent, and EastMoney. The code implements standard trading logic (RSI, Moving Averages, volume analysis) and includes robust features like a daemon manager (monitor_daemon.py) and anti-crawling optimizations (monitor_v2.py). No evidence of data exfiltration, credential theft, or malicious prompt injection was found; the scripts are well-documented and align strictly with the stated purpose.