智量通量化研究：给 Agent 一个可执行的量化投研工作流
智量通量化研究（@org-gir79457/zlt-quant）由深圳市智量通科技有限公司发布，分类 ai-agent，版本 1.0.9，requires_api_key=false。它面向 Agent 提供智量通量化平台的投研入口：选股、查询策略、回测历史与数据覆盖，创建或迁移策略，运行回测并生成分析报告，同时支持 SDK 文档查阅、因子研究与策略评估。文章说明其定位、能力分组、启用方式、任务描述写法以及适用场景与限制：能力限于该平台，安装数为 0 说明传播范围小，接入前需自行验证。
Read More条件选股：在对话里按指标筛一批股票
条件选股是 SkillHub 社区 Skill（@user_d83d7c97/wm-screen-index，v2.0.6），面向批量选股而非单票查询。支持按市盈率、ROE、股息、行业等条件筛股票，并可列出、运行、保存个人策略；字段对齐优先 indicators，内容穿透再用 search/discover，当日涨跌用 $PERCENT_LAST。无需 API Key。可通过 skillhub install 安装到 Cursor 等客户端 skills 目录。
Read MoreQuantitative Analysis Tool for Stocks, Funds, and Futures: Full-Asset Quant and Multi-Source Investment Research Skill
Introduces the SkillHub community skill @user_9d5a2a39/aistockresearcher (package version 1.0.45, with embedded v11.0). It covers quant analysis of stocks, funds, futures, and indices across 12 global markets: multi-source free data from Tencent, East Money, Sina, Xueqiu, Tonghuashun, yfinance, and others, with cross-validation and anomaly detection; 11 AI interpretation templates, multi-timeframe forecasting, and 20 MCP tools, with optional external MCP environment-variable bridging; plus v9.5 Expert Roundtable, knowledge-base adaptation, and voice-interaction trigger words. It also covers SkillHub standard installation prompts, typical conversational usage, and data timeliness notes.
Read Moredsh-cn-fixedincome-mcp: Local-First Analysis Engine for Convertible Bonds/Bonds
helibeiqi/dsh-cn-fixedincome-mcp is a zero-dependency Node ESM MCP plugin for DeepSeek Harness (DSH), focused on local computation of fixed-income data. It does not rely on external APIs, and its core capability is to quickly derive metrics from locally provided terms. The plugin provides valuation and strategy indicators such as convertible premium, YTM, and duration, as well as risk assessments for events such as downward revision dynamics and forced redemption. Through tools such as `cb_analytics` and `cb_screen`, it supports batch screening and in-depth analysis of local seed data. This plugin implements an offline, key-free quantitative investment research solution and is open-sourced under the MIT license.
Read Moredsh-plugin-stock-x: Stock Monitoring and Quantitative Investment Research Plugin for DeepSeek Harness
`dsh-plugin-stock-x` is a Node.js-based DeepSeek Harness plugin designed for quantitative investment research and real-time market monitoring. It provides real-time market data across all markets, professional multi-window charting tools (including multi-timeframe candlesticks, Level 5 order book information, capital flow analysis, and more), and in-depth market intelligence. The plugin interface supports a frosted-glass floating widget and multiple theme options, with global search and portfolio risk management features. Its core highlight is deep integration with DeepSeek, enabling one-click sending of market data to the large model for AI diagnostics, text-based stock selection, and strategy review, thereby intelligently connecting data and AI.
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