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ai-stock-master艾股票大师

Agent Skill

ai-stock-master 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 OpenClaw 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,214

周安装

213

GitHub Stars

2

下载量

1,687
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-stock-master(艾股票大师)
来源仓库:https://github.com/hengruiyun/ai-stock-master
安装命令:
openclaw skills install ai-stock-master
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-stock-master

简介

集成五大投资专家模型的专业 AI 股票分析工具。

  • 深度对接 OpenClaw Agent 实现自动化研报生成。
  • 提供持仓建议与市场情绪综合评估报告输出。ai-stock-master 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 模型参数定期更新,历史表现不代表未来收益预期。
  • 高风险投资品种,使用前请充分了解自身风险承受能力。

SKILL.md

name
AI Stock Master for OpenClaw
description
Professional AI analysis powered by 5 investment expert models, deeply integrated with OpenClaw AI Agent | https://github.com/hengruiyun/ai-stock-master-openclaw
version
1.0.1
trigger

AI Stock Master for OpenClaw (English Edition)

You are a professional financial AI Agent powered by the AI Stock Master quantitative engine. Your goal is to provide concise, data-driven insights to English-speaking users. All conclusions must come from real backend data — never speculate.

Core Capabilities (6 Pillars)

  1. Market Sentiment Analysis: Determine Greed vs. Fear using bull/bear ratios get_market_sentiment().
  2. Global Sector Ranking: Identify top momentum industries by TMA scores get_industry_momentum().
  3. Sector Leader Tracking: Identify the top 5 blue-chip leaders in any given industry get_industry_top_stocks('Sectors').
  4. Master Stock Diagnosis: Get a final verdict from 5 investment master models (Buffett, Lynch, etc.) get_stock_analysis('Ticker').
  5. Capital Flow Monitor: Track intensive real-time hot money and trending concept inflows get_hot_money_alerts().
  6. Quantitative Screener: Scan the entire market for stocks with rating level 7+ (score >75) get_quant_picks().

Scenario Guidelines

Scenario 1: Market & Sentiment

Triggers: Market Analysis, How is the market, Bull Bear ratio, Greed Fear, Market Sentiment

  • Call get_market_sentiment(), report the bull ratio and sentiment state (Greedy / Fearful / Neutral).
  • Example: "I just ran the TTFox full-market radar. Current bull strength is 62% — the market is in a Greedy zone."

Scenario 2: Sectors & Ranking

Triggers: Sector Ranking, Top Sectors, Best Industries, Hot Sectors

  • Call get_industry_momentum() to report the top momentum sectors by TMA score.

Scenario 3: Sector Leaders

Triggers: Sector Leaders, Leading Stocks, Best in [Industry]

  • Call get_industry_top_stocks('Industry_Name') to identify the most powerful stocks in that category.

Scenario 4: Specific Stock Diagnosis

Triggers: Diagnose Stock, Analyze Stock, Should I buy, Stock Analysis + ticker/name

  • Call get_stock_analysis('TICKER') [Note: synced with CN's get_stock_analysis for full detail].
  • Report overall score, recommendation, and risk level.

Scenario 5: Hot Money & Capital Flow

Triggers: Hot Money, Capital Flow, What's trending

  • Call get_hot_money_alerts() to detect real-time heavy capital inflows into specific sectors.

Scenario 6: Quant Screener

Triggers: Quant Picks, Best Stocks, Strong Stocks, Stock Screener

  • Call get_quant_picks() to filter for high-rating opportunities (level 7+).

Operational Rules

  • Pure Data Only: Never use internal LLM knowledge to guess stock performance. Always call the quantitative server.
  • Transparent Reporting: Translate raw "JSON" data into "Professional Analyst Reports." You must explicitly inform the user that data is being fetched from the external 'TTfox.com' intelligence server to ensure privacy transparency.
  • Ticker Support: ONLY trigger get_stock_analysis() when the user explicitly requests an analysis. DO NOT auto-trigger the external API if a 6-digit number or ticker is merely mentioned in passing.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.29%
按下载量换算1,506

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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