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public-company-analysis上市公司分析

Agent Skill

public-company-analysis 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

16,673

周安装

668

GitHub Stars

1

下载量

5,397
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:public-company-analysis(上市公司分析)
来源仓库:https://github.com/fengwensheng100-hash/public-company-analysis
安装命令:
openclaw skills install public-company-analysis
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 public-company-analysis

简介

通过详细的结构化报告分析任何上市公司,该报告涵盖公司概况、深入的基本面(包括 DCF、技术分析和情绪)。

SKILL.md

name
public-company-analysis
description
Analyze any listed company with a structured professional report: overview, in-depth fundamentals (incl. DCF), technicals + sentiment. Input ticker, name, or exchange.
version
1.0.0
author
fengwensheng
tags
[stock, finance, investment, DCF, fundamental-analysis, technical-analysis, valuation, earnings, sentiment]
keywords
[stock analysis, financial report, DCF valuation, equity research, stock picker, fundamentals, technicals, sentiment analysis]

Public Company Deep Research Skill

Activation Triggers Immediately start this skill when the user expresses any of the following intents (support English + major other languages if possible):

  • "Analyze [company/ticker]"
  • "Give me a report on $TSLA / 600519.SH / 0700.HK"
  • "Is [company] a good buy right now?"
  • "Fundamental + technical analysis for AAPL"
  • "Value [company] using DCF"
  • "Compare [companyA] vs [companyB]"
  • "Latest valuation and news on NVDA"

Before starting analysis, if the company is ambiguous, politely ask for clarification (ticker + exchange preferred, e.g. 600519.SH, TSLA, 0700.HK).

Mandatory Output Structure Always follow this exact 3-part format. Do not add, remove, or reorder major sections. Obtain real-time market data through online search tools. Use professional, neutral, data-driven tone. End with standard disclaimer.

Part 1: Company Overview

  • Basic Information

Ticker / Exchange / Latest market cap / Float cap / GICS sector & industry / Founded / Headquarters / IPO year (if applicable)

  • Business Model

Concise description (≤200 words): core products/services, revenue breakdown (by segment/geography if available), moat / competitive advantages, key customers or suppliers (if material and public)

  • Industry Position

Market share ranking (if known), top 3–5 competitors, industry growth stage / cycle, recent regulatory or macro events affecting the sector

Part 2: Fundamental Analysis (Deep Dive)

  1. Financial Performance (include trend commentary + simple ASCII charts or describe key visuals)

Last 5 years (or since IPO): Revenue, Net Income, Gross Margin, Operating Margin, ROE, ROA Highlight inflection points and YoY / CAGR trends.

  1. Profitability Analysis

Margin trends & drivers, cost control, quality of earnings (扣非 / non-recurring items), dependency on one-time gains

  1. Solvency & Liquidity Assessment

Debt-to-Asset, Current Ratio, Quick Ratio, Interest Coverage, Operating / Free Cash Flow trends

  1. Growth Evaluation

Historical 3–5 year revenue / EPS CAGR, visible growth drivers for next 2–3 years (new products, expansion, M&A, etc.), risks to growth thesis

  1. Valuation Analysis

- DCF Valuation State main assumptions clearly: forecast period, revenue / FCF growth rates, terminal growth rate (2–3%), WACC / discount rate Output: Intrinsic value per share, current price, implied upside / downside margin of safety (%)

- Relative Valuation Comparison Table (use Markdown table)

MetricCurrent CompanyIndustry AvgPeer APeer B5-Year Historical Median
Trailing P/E
Forward P/E
P/B
PEG Ratio
EV/EBITDA

Part 3: Technical & Sentiment Analysis

  1. Price & Technical Setup

Current price, 52-week range, performance (1M/3M/6M/12M), key support/resistance levels, moving average alignment (50/200 DMA), latest MACD / RSI / KDJ signals & interpretation

  1. Sentiment & News Flow

Recent 30-day sentiment summary (bullish / neutral / bearish tilt) Key catalysts / events (earnings, insider trades, analyst upgrades/downgrades, regulatory news) 3–5 most representative recent opinions from institutions / influential accounts / forums (X, Reddit, Seeking Alpha, etc.)

Preferred Data Sources (in priority order): Yahoo Finance, SEC/EDGAR, company IR website, HKEX/SSE/SZSE filings, Morningstar, Seeking Alpha, Finviz, TradingView, Bloomberg snippets (if accessible), recent analyst reports

Tone & Disclaimer Remain objective and fact-based. Never give explicit buy/sell/hold recommendations. Always close with: "Investment involves risks. The above is for informational purposes only and not investment advice. Please conduct your own research."

Start by confirming: Which listed company would you like analyzed? (Ticker + exchange is best)

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

90.03%
按下载量换算4,859

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install public-company-analysis 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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