stock-industry-analyzer

自动收集国内外财经新闻，分析股票行业趋势，热点公司与技术指标，生成综合评分和买卖建议报告。

This skill appears to do what it says (collect/aggregate news, analyze, and write reports locally) but exercise caution before running it: - Review and remove or update example scripts (run_analysis.py, run_simple.py, test_debug.py) that contain hardcoded Windows paths (C:\Users\l31408\...) so they don't inadvertently read from or write to unexpected locations. - Inspect the full analyzer.py for the truncated/garbled snippet seen in the provided excerpt (there is an incomplete exception handler) — run tests or linting locally before use. - pip-installing akshare/yfinance will enable network access to fetch market data; only install these if you trust the network usage and the package versions. - The docs mention NewsAPI and ta-lib but those integrations are not clearly implemented—if you expect those features, verify and add required API keys or libraries explicitly. - Run the skill in a sandboxed/isolated environment (virtualenv, container) and back up any important local data; monitor disk usage because config.json retention is set to keep many records indefinitely. If you want, I can highlight the exact lines with hardcoded paths and the truncated code snippet, or produce a minimal sanitized example (no absolute paths) you can run safely.

Type: OpenClaw Skill Name: stock-industry-analyzer Version: 1.0.0 The bundle is a functional stock and industry analysis tool that uses legitimate financial data libraries (akshare, pandas) and a local SQLite database. While several scripts (run_analysis.py, run_simple.py, and test_debug.py) contain hardcoded local Windows file paths (e.g., C:\Users\l31408\...), these appear to be unintentional development artifacts left over from the author's environment rather than malicious indicators. The code lacks any evidence of data exfiltration, unauthorized network communication, or prompt injection attempts.