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Agent Skill · 研究检索

finskills-us-stock-analyzer(finskills 美国股票分析器)

finskills-us-stock-analyzer 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。

finskills-us-stock-analyzer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 33,203。

总安装 2,398周安装 103GitHub Stars 公开资料未说明下载 840核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

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:finskills-us-stock-analyzer(finskills 美国股票分析器)
来源仓库:https://github.com/finskills/finskills-us-stock-analyzer
安装命令:
openclaw skills install finskills-us-stock-analyzer
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 finskills-us-stock-analyzer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

利用 Finskills API 实时基本面数据对美国上市股票进行机构级分析。适合专业投资者或量化研究员进行深度个股评估。输出财务比率解读、估值模型结果与风险提示综合报告。

安装命令:openclaw skills install finskills-us-stock-analyzer 使用前请确认 API 密钥有效性与服务可用性,注意数据延迟问题

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install finskills-us-stock-analyzer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

finskills-us-stock-analyzer 怎么安装?

在终端执行 openclaw skills install finskills-us-stock-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

finskills-us-stock-analyzer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

finskills-us-stock-analyzer 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

finskills-us-stock-analyzer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

finskills-us-stock-analyzer 用的人多吗?

公开数据是累计安装 2,398 次,近一周安装 103 次,下载 840 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

finskills-us-stock-analyzer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
finskills-us-stock-analyzer

finskills 美国股票分析器 · 本页

2,398—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
US Stock Analyzer
version
1.0.0
description
Perform institutional-grade analysis of any US-listed stock using real-time and fundamental data from the Finskills API.
author
finskills
homepage
https://github.com/finskills/us-stock-analyzer
credentials
description
Finskills API key — register for free at https://finskills.net (Pro plan unlocks historical data, financials, and batch quotes)
required
true
link
https://finskills.net

US Stock Analyzer

Perform institutional-grade analysis of any US-listed stock using real-time and fundamental data from the Finskills API. Delivers a structured investment report covering business quality, financial health, valuation, analyst consensus, and key risks — all in a single conversation turn.


Setup

API Key required — Register at https://finskills.net to get your free key (Pro plan for full functionality). Set your key as: FINSKILLS_API_KEY=your_key_here All requests use header: X-API-Key: <your_api_key>


When to Activate This Skill

Activate when the user:

  • Asks to "analyze", "research", "evaluate", or "deep dive" into a specific stock
  • Provides a ticker symbol and asks for an investment opinion
  • Requests a buy/sell/hold assessment on a US equity
  • Asks for fundamental analysis, valuation, or earnings quality review

Required Information

Before starting, resolve:

  1. Ticker symbol — e.g., AAPL, NVDA, MSFT. Ask if not provided.
  2. Analysis depth — Quick (Level 1), Standard (Level 2, default), or Deep (Level 3).
  3. Investment horizon — Short-term (< 3 months), medium (3–12 months), long-term (> 12 months). Default: long-term.

Data Retrieval — Finskills API Calls

Make the following API calls in parallel (all require X-API-Key header):

1. Real-Time Quote

GET https://finskills.net/v1/stocks/quote/{SYMBOL}

Extract: price, change, changePercent, volume, marketCap, week52High, week52Low, avgVolume

2. Company Profile

GET https://finskills.net/v1/stocks/profile/{SYMBOL}

Extract: name, sector, industry, description, employees, website, country, exchange

3. Financial Statements (3–5 years)

GET https://finskills.net/v1/stocks/financials/{SYMBOL}

Extract from income statement: revenue, grossProfit, operatingIncome, netIncome, eps Extract from balance sheet: totalDebt, cashAndEquivalents, totalAssets, totalEquity Extract from cash flow: operatingCashFlow, freeCashFlow, capitalExpenditures

4. Analyst Recommendations

GET https://finskills.net/v1/stocks/recommendations/{SYMBOL}

Extract: strongBuy, buy, hold, sell, strongSell counts; consensus rating; mean target price; price target range

5. Earnings History & Estimates

GET https://finskills.net/v1/stocks/earnings/{SYMBOL}

Extract: last 4 quarters of EPS (actual vs estimate, beat/miss); next quarter EPS estimate; revenue estimates

6. Institutional Holders (optional, Level 2+)

GET https://finskills.net/v1/stocks/holders/{SYMBOL}

Extract: top 5 holders, total institutional ownership %, recent changes (bought/sold)


Analysis Workflow

Step 1 — Data Validation

Confirm all API calls returned success: true. Note which data provider served each call (source field). Flag any stale data (cached > 24h for quotes).

Step 2 — Business Quality Assessment

Score each dimension 1–5:

DimensionSignals to Look For
Competitive MoatMarket leadership, pricing power, switching costs, network effects
Management QualityCapital allocation history, FCF conversion, debt management
Revenue QualityRecurring/subscription vs one-time, customer concentration
Growth TrajectoryYoY revenue growth trend (accelerating/decelerating/stable)

Calculate a composite Business Quality Score (BQS) = average of the four dimensions.

Step 3 — Financial Health Scorecard

Compute and interpret:

MetricFormulaBenchmark
Gross MargingrossProfit / revenueIndustry-specific
Operating MarginoperatingIncome / revenue> 15% healthy
FCF MarginfreeCashFlow / revenue> 10% excellent
Net Debt / EBITDA(totalDebt − cash) / EBITDA< 2x conservative
ROEnetIncome / totalEquity> 15% strong
FCF YieldfreeCashFlow / marketCap> 4% attractive
Current RatiocurrentAssets / currentLiabilities> 1.5 healthy

Flag any metric outside healthy range with a ⚠️ symbol.

Step 4 — Valuation Analysis

Calculate:

RatioFormulaContext
P/E (TTM)price / EPS_TTMvs sector average
Forward P/Eprice / EPS_NextYear_estimatevs 5-yr historical avg
EV/EBITDA(marketCap + netDebt) / EBITDA< 15x value zone
P/FCFmarketCap / freeCashFlowvs growth peers
PEG RatioP/E / EPS_3yr_growth< 1.0 undervalued

Classify valuation as: Deep Value / Fair Value / Premium / Stretched

Provide a range-based fair value estimate using at least two methods (DCF implied from FCF yield, and P/E reversion to sector mean).

Step 5 — Earnings Quality & Analyst Coverage

Analyze earnings history (last 4 quarters):

  • Beat rate: percentage of quarters beating EPS estimates
  • Average surprise magnitude (positive/negative)
  • Revenue trend vs EPS trend (divergence signals accounting risk)

Analyst consensus summary:

  • Consensus rating label (Strong Buy / Buy / Hold / Underperform / Sell)
  • Mean price target vs current price (implied upside/downside %)
  • Breadth: number of analysts covering the stock
  • Target price range (bull case vs bear case)

Step 6 — Risk Identification

Systematically identify:

  • Balance sheet risk: leverage, debt maturity, liquidity
  • Earnings risk: customer concentration, cyclicality, margin pressure trends
  • Macro risk: interest rate sensitivity, FX exposure, commodity input costs
  • Regulatory/ESG risk: industry-specific regulatory environment
  • Valuation risk: how much multiple compression would hurt total return

Step 7 — Investment Verdict

Based on all data, output:

  • Rating: STRONG BUY / BUY / HOLD / AVOID / SELL
  • 12-Month Price Target: derived from valuation analysis (base case)
  • Bull Case / Bear Case: target under favorable / adverse scenario
  • Confidence Level: HIGH / MEDIUM / LOW (based on data completeness and

earnings predictability)


Output Format

═══════════════════════════════════════════════════
  US STOCK ANALYSIS REPORT — {TICKER} ({DATE})
═══════════════════════════════════════════════════

📌 COMPANY SNAPSHOT
  {Company Name} | {Sector} | {Industry}
  Price: ${price}  Change: {change}%  Market Cap: ${marketCap}
  52-Week Range: ${week52Low} — ${week52High}

📊 BUSINESS QUALITY SCORE: {BQS}/5
  ◦ Competitive Moat:   {score}/5 — {brief rationale}
  ◦ Management Quality: {score}/5 — {brief rationale}
  ◦ Revenue Quality:    {score}/5 — {brief rationale}
  ◦ Growth Trajectory:  {score}/5 — {brief rationale}

💰 FINANCIAL HEALTH
  Revenue Growth (YoY): {%}  |  Gross Margin: {%}  |  Operating Margin: {%}
  FCF Margin: {%}  |  Net Debt/EBITDA: {x}  |  ROE: {%}
  [⚠️ Flag any concerns]

📐 VALUATION
  TTM P/E: {x}  |  Forward P/E: {x}  |  EV/EBITDA: {x}
  P/FCF: {x}    |  PEG: {x}
  Assessment: {Deep Value / Fair Value / Premium / Stretched}
  Fair Value Range: ${low} — ${high}

📈 ANALYST CONSENSUS
  Rating: {consensus}  |  Mean Target: ${target}  ({upside}% upside)
  Distribution: {strongBuy}SB / {buy}B / {hold}H / {sell}S / {strongSell}SS
  Analysts: {count}  |  Target Range: ${low} — ${high}

📋 EARNINGS QUALITY
  Beat Rate: {%} ({n}/{total} quarters)  |  Avg Surprise: {+/-}%
  Next Quarter EPS Estimate: ${estimate}

⚠️ KEY RISKS
  1. {Risk 1}
  2. {Risk 2}
  3. {Risk 3}

🎯 INVESTMENT VERDICT
  Rating:         {STRONG BUY / BUY / HOLD / AVOID / SELL}
  12M Target:     ${target}  (Base: ${base} | Bull: ${bull} | Bear: ${bear})
  Confidence:     {HIGH / MEDIUM / LOW}
  Horizon:        {investment horizon}

  Thesis Summary: {2–3 sentence bull case}
  Key Risks:      {1–2 sentence risk summary}
═══════════════════════════════════════════════════

Formatting Rules

  • Always show data source (source field from API response) in a footnote.
  • If an API call fails, note "Data unavailable" for that section — do not omit

the section header.

  • Round monetary values to 2 decimal places; percentages to 1 decimal place.
  • Do not provide financial advice. Frame all outputs as analytical research.

Limitations

  • Financial statements may lag by 1 quarter (SEC filing cadence).
  • Analyst targets represent consensus forecasts, not guarantees.
  • This skill does not execute trades or interact with brokerage accounts.

平台分布

OpenClaw

85%
按下载量换算714

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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