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Agent Skill · 研究检索

us-stock-analyst(美国股票分析师)

us-stock-analyst 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。

us-stock-analyst 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 22,885。

总安装 4,425周安装 179GitHub Stars 公开资料未说明下载 1,389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:us-stock-analyst(美国股票分析师)
来源仓库:https://github.com/aisadocs/us-stock-analyst
安装命令:
openclaw skills install us-stock-analyst
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 us-stock-analyst

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。

us-stock-analyst 提供专业美股分析服务,整合金融数据与AI模型。每次分析收费 0.02–0.10 美元,适用于高频研究需求。通过 clawhub 安装后可用于定制化股票评估报告生成。需确认是否要求用户提供股票代码与时间范围参数。建议核实其是否包含社会情绪分析与新闻事件关联模块。

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 us-stock-analyst;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

us-stock-analyst 怎么安装?

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

us-stock-analyst 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。

us-stock-analyst 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。

us-stock-analyst 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。

us-stock-analyst 用的人多吗?

公开数据是累计安装 4,425 次,近一周安装 179 次,下载 1,389 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。

us-stock-analyst 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
us-stock-analyst

美国股票分析师 · 本页

4,425—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-analyst
description
Professional US stock analysis with financial data, news, social sentiment, and multi-model AI. Comprehensive reports at $0.02-0.10 per analysis. Use when: the user needs market data, stock analysis, watchlists, or portfolio workflows.
author
AIsa
version
1.0.1
license
Apache-2.0
user-invocable
true
primaryEnv
AISA_API_KEY
requires
bins
env
metadata
aisa
emoji
📊
requires
bins
env
primaryEnv
AISA_API_KEY
compatibility
openclaw
emoji
📊
requires
bins
env
primaryEnv
AISA_API_KEY

US Stock Analyst 📈

Professional equity analysis powered by AIsa's unified API platform.

One API key. Complete market intelligence. AI-powered insights.

🔥 What Can You Do?

Investment Research

"Analyze NVDA: financial metrics, analyst estimates, insider trades, 
news sentiment, and AI-powered valuation"

Portfolio Monitoring

"Track my portfolio (AAPL, MSFT, GOOGL): daily updates on metrics, 
news, and sentiment changes"

Earnings Analysis

"Full Tesla Q4 earnings analysis: results vs estimates, guidance, 
price reaction, analyst updates"

Competitor Analysis

"Compare AMD vs NVDA: financials, growth, valuation, market sentiment"

Screening & Discovery

"Find tech stocks with P/E < 30, revenue growth > 20%, 
and positive insider activity"

Quick Start

export AISA_API_KEY="your-key"

Core Capabilities

📊 Financial Data (MarketPulse APIs)

Real-time Financial Metrics

curl "https://api.aisa.one/apis/v1/financial/financial-metrics/snapshot?ticker=AAPL" \
  -H "Authorization: Bearer $AISA_API_KEY"

Returns: Market cap, P/E ratio, revenue, EPS, profit margin, ROE, debt/equity, and more.

Historical Stock Prices

# Daily prices for last 30 days
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-01-01&end_date=2025-01-31&interval=day&interval_multiplier=1" \
  -H "Authorization: Bearer $AISA_API_KEY"

# 5-minute intraday data
curl "https://api.aisa.one/apis/v1/financial/prices?ticker=AAPL&start_date=2025-02-07&end_date=2025-02-07&interval=minute&interval_multiplier=5" \
  -H "Authorization: Bearer $AISA_API_KEY"

Financial Statements

# All statements (income, balance, cash flow)
curl "https://api.aisa.one/apis/v1/financial/financial_statements/all?ticker=AAPL" \
  -H "Authorization: Bearer $AISA_API_KEY"

Analyst Estimates

# EPS forecasts and ratings
curl "https://api.aisa.one/apis/v1/financial/analyst/eps?ticker=AAPL&period=annual" \
  -H "Authorization: Bearer $AISA_API_KEY"

Insider Trading

# Track insider buy/sell activity
curl "https://api.aisa.one/apis/v1/financial/insider/trades?ticker=AAPL" \
  -H "Authorization: Bearer $AISA_API_KEY"

Institutional Ownership

# See who owns the stock
curl "https://api.aisa.one/apis/v1/financial/institutional/ownership?ticker=AAPL" \
  -H "Authorization: Bearer $AISA_API_KEY"

SEC Filings

# Access 10-K, 10-Q, 8-K filings
curl "https://api.aisa.one/apis/v1/financial/sec/filings?ticker=AAPL" \
  -H "Authorization: Bearer $AISA_API_KEY"

📰 News & Research

Company News

curl "https://api.aisa.one/apis/v1/financial/news?ticker=AAPL&limit=10" \
  -H "Authorization: Bearer $AISA_API_KEY"

Web Search (News & Articles)

curl -X POST "https://api.aisa.one/apis/v1/scholar/search/web?query=AAPL+stock+analysis&max_num_results=10" \
  -H "Authorization: Bearer $AISA_API_KEY"

Academic Research

curl -X POST "https://api.aisa.one/apis/v1/scholar/search/scholar?query=semiconductor+industry+analysis&max_num_results=5" \
  -H "Authorization: Bearer $AISA_API_KEY"

🐦 Social Sentiment

Twitter Search

curl "https://api.aisa.one/apis/v1/twitter/tweet/advanced_search?query=\$AAPL&queryType=Latest" \
  -H "Authorization: Bearer $AISA_API_KEY"

📺 Video Content

YouTube Search (Earnings Calls, Analysis)

curl "https://api.aisa.one/apis/v1/youtube/search?engine=youtube&q=AAPL+earnings+call&gl=us&hl=en" \
  -H "Authorization: Bearer $AISA_API_KEY"

🤖 AI Analysis (Multi-Model)

LLM Gateway (OpenAI Compatible)

curl -X POST "https://api.aisa.one/v1/chat/completions" \
  -H "Authorization: Bearer $AISA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {
        "role": "system",
        "content": "You are a professional equity analyst."
      },
      {
        "role": "user",
        "content": "Analyze Apple stock investment prospects"
      }
    ],
    "temperature": 0.3,
    "max_tokens": 2000
  }'

Supported Models:

  • GPT-4, GPT-4 Turbo (OpenAI)
  • Claude 3 Opus, Sonnet, Haiku (Anthropic)
  • Gemini 1.5 Pro, Ultra (Google)
  • Qwen Max, Plus (Alibaba)
  • DeepSeek V2 (DeepSeek)
  • Grok (xAI)

Python Client

# Basic analysis
python3 scripts/stock_analyst.py analyze --ticker AAPL

# Standard analysis with multiple models
python3 scripts/stock_analyst.py analyze --ticker NVDA --depth standard --models gpt-4 claude-3-opus

# Deep analysis (all data sources)
python3 scripts/stock_analyst.py analyze --ticker TSLA --depth deep

# Quick screening
python3 scripts/stock_analyst.py analyze --ticker MSFT --depth quick

# Save report to file
python3 scripts/stock_analyst.py analyze --ticker GOOGL --output report.json

Analysis Depth Options

ModeTimeCostData Sources
quick~10s$0.01-0.02Metrics, News, Twitter, Basic AI
standard~20s$0.02-0.05+ Analyst Estimates, Insider Trades, YouTube
deep~30s$0.05-0.10+ Statements, Institutional, SEC, Research

API Reference

CategoryEndpointMethodCost
Financial Metrics/financial/financial-metrics/snapshotGET$0.002
Stock Prices/financial/pricesGET$0.001
News/financial/newsGET$0.001
Statements/financial/financial_statements/*GET$0.002
Analyst Estimates/financial/analyst/epsGET$0.002
Insider Trades/financial/insider/tradesGET$0.001
Institutional/financial/institutional/ownershipGET$0.001
SEC Filings/financial/sec/filingsGET$0.001
Web Search/scholar/search/webPOST$0.001
Scholar Search/scholar/search/scholarPOST$0.002
Twitter/twitter/tweet/advanced_searchGET$0.0004
YouTube/youtube/searchGET$0.002
LLM/v1/chat/completionsPOSTToken-based

Every response includes usage.cost and usage.credits_remaining.


Example Output

{
  "ticker": "NVDA",
  "analysis_date": "2025-02-07T10:30:00Z",
  
  "investment_summary": "NVIDIA maintains dominant position in AI chip market with strong data center revenue growth. Recent Blackwell launch positions company for continued expansion...",
  
  "key_metrics": {
    "market_cap": 1780500000000,
    "pe_ratio": 68.5,
    "revenue": 60922000000,
    "revenue_growth": 1.26,
    "profit_margin": 0.489,
    "roe": 1.152
  },
  
  "sentiment_analysis": {
    "sentiment": "bullish",
    "confidence": "high",
    "key_themes": ["AI dominance", "Data center growth", "Blackwell launch"],
    "summary": "Overwhelmingly positive sentiment following Q4 earnings beat"
  },
  
  "valuation": {
    "assessment": "fairly_valued",
    "price_target_12m": 850.00,
    "reasoning": "Premium valuation justified by AI market leadership and strong growth trajectory"
  },
  
  "data_sources": {
    "Financial Metrics": "Available",
    "Stock News": 10,
    "Analyst Estimates": "Available",
    "Insider Trades": 15,
    "Twitter": "Available",
    "YouTube": 5
  }
}

Pricing

Analysis Costs:

  • Quick: $0.01-0.02 per stock
  • Standard: $0.02-0.05 per stock
  • Deep: $0.05-0.10 per stock

Comparison:

  • Bloomberg Terminal: $2,000/month
  • FactSet: $1,000/month
  • Traditional Analyst Report: $50-500 each
  • AIsa Stock Analyst: $0.02-0.10 each ✨

Cost Breakdown:

Standard Analysis ($0.02-0.05):
├── Financial Metrics: $0.002
├── Stock Prices: $0.001
├── Company News: $0.001
├── Analyst Estimates: $0.002
├── Insider Trades: $0.001
├── Twitter: $0.0004
├── YouTube: $0.002
└── LLM Analysis: $0.01-0.04

Use Cases

1. Investment Research

Screen and analyze stocks before investing:

analyst.analyze_stock("NVDA", depth="deep")

2. Portfolio Monitoring

Daily updates on your holdings:

for ticker in ["AAPL", "MSFT", "GOOGL"]:
    report = analyst.analyze_stock(ticker, depth="quick")

3. Earnings Season

Comprehensive earnings analysis:

analyst.analyze_stock("TSLA", depth="standard")
# Check estimates, actual results, guidance, reaction

4. Insider Tracking

Monitor insider activity:

report = analyst.analyze_stock("META", depth="standard")
print(report['raw_data']['insider_trades'])

5. Sentiment Analysis

Track market perception:

report = analyst.analyze_stock("COIN", depth="standard")
print(report['sentiment_analysis'])

Compliance

Disclaimer (Always Included):

This analysis is for informational purposes only and should not be considered personalized investment advice. Please conduct your own research and consult with licensed financial advisors before making investment decisions.

Regulatory Compliance:

  • SEC Rule 15c2-1 (not investment advice)
  • FINRA regulations (informational only)
  • GDPR data privacy compliant

Get Started

  1. Sign up at aisa.one
  2. Get your API key
  3. Add credits (pay-as-you-go, minimum $5)
  4. Set environment variable: export AISA_API_KEY="your-key"
  5. Run analysis: python scripts/stock_analyst.py analyze --ticker AAPL

Full API Documentation

  • API Reference: https://aisa.mintlify.app/api-reference/introduction
  • Complete Docs: https://aisa.mintlify.app/llms.txt
  • Support: support@aisa.one
  • Discord: https://discord.gg/aisa

About AIsa

AIsa - Unified API infrastructure for AI agents.

Single API Key. Pay-Per-Use. Agent-Native.

  • Website: https://aisa.one
  • Documentation: https://aisa.mintlify.app

平台分布

OpenClaw

82.13%
按下载量换算1,141

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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