龙侠股市分析：面向 A 股科技成长链的 Agent Skill
龙侠股市分析是 SkillHub 社区 professional 类 Skill（@user_47b3804c/stock-analysis-lxx，v1.0.2），面向中国上市 AI、半导体、算力、光互连、IDC、服务器、软件等标的。支持低估值高增长筛选、主题或自定义名单表格排序、单股中长期研究、估值成长对标及政策新闻影响分析；优先本地数据脚本与缓存，缺字段时字段级补录。requires_api_key=false。可通过 skillhub install 安装到 Cursor、Claude Code、Codex 等 skills 目录，或按官方提示词让 Agent 读取 skillhub.md 安装。
Read More傅海棠框架：把傅海棠投资方法论写进 Agent Skill
傅海棠框架是 SkillHub 社区 professional 类 Skill（@user_231765ee/fuhtang，v1.0.1），将天道思想、供求与物极必反等内核与选股四看、五句金律、财报择时、定性护城河及分级仓位纪律写入 Agent。文章说明其定位、能力条目、skillhub install 安装到 Cursor 等 skills 目录的步骤，以及按框架走完整分析链路的示例提示。标注 requires_api_key，投资须自行核实。
Read More股票题材早知道：把题材与事件整理成可追踪的结构化输出
SkillHub 专业类 Skill「股票题材早知道」（@laoxi/stock-theme-radar，v1.0.1，LXAI）面向 A 股并支持港股/美股题材。输入题材名或新闻、事件、截图后自动识别模式：题材输出追踪卡（定义、驱动、关联标的、来源、动态、建议），事件输出映射表（事件→题材→个股，含关联概率、时间维度与证据强度）。全程区分硬逻辑与题材炒作，关键事实标注来源类型，不臆造数据，不构成投资建议；requires_api_key 为 false。
Read MoreA-Share Stock Research Assistant - DeepSeek Harness (DSH) Plugin: Stock Search / Historical Announcements / Financial Reports / Company Profiles / Signal Explainers
The `dsh-astock-research` plugin for DeepSeek Harness (DSH) is designed to fill the gap in A-share data querying. It provides core capabilities including individual stock search, stock profiles, plain-language interpretation of announcements, and interpretation of financial statement figures. Installation requires meeting the Node.js version requirements and configuring an API Key in the Web UI. The plugin covers data for approximately 5,000 A-share stocks and supports querying arbitrary historical periods. For complex computations such as strategy backtesting, the tool guides users to the AIHEY Trading Simulation Assistant. The data is provided for research reference only and does not constitute investment advice.
Read Morehanai-investment-dsh: A Local-First A-Share Research Workbench Powered by DeepSeek Harness
`hanai-investment-dsh` is a local-first A-share research workbench plugin built on DeepSeek Harness (DSH). It integrates market panorama, custom stock groups, individual stock K-line analysis, valuation display, expert dialogues, and research report generation, aiming to provide a complete research loop from observation, discussion, to verification. Core features include monitoring six major indices and sector heatmaps, customizable stock watchlists, forward-adjusted K-lines with turning point markers, five-dimensional valuation radar, open dialogues among five experts (including an AI-simulated perspective), and Agent-based retrieval verification to generate archivable Markdown research reports. This tool emphasizes evidence chains and context, clearly distinguishing between price-volume hints and trading signals. All backtest data serves solely as historical retrospective evidence, with no promises of returns. It is designed for developers and investors conducting systematic A-share research within the DSH environment.
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