Source profileQuality 89/100Review permissions

netease-youdao/LobsterAI/SKILLs/stock-analyzer/SKILL.md

stock-analyzer

A comprehensive stock deep analysis tool that combines real-time quotes, fundamental metrics, technical indicators, and growth analysis into a single professional report. Supports A-share, US stocks, HK stocks. Generates detailed investment recommendations with risk assessment and actionable trading strategies.

Source repository stars
5,783
Declared platforms
0
Static risk flags
1
Last source update
2026-08-06
Source checked
2026-08-06

Decision brief

What it does—and where it fits

One-stop comprehensive stock analysis tool that generates professional-grade investment reports.

Best for

  • User requests "深度分析", "complete analysis", "comprehensive report"
  • User wants multi-dimensional evaluation (value + growth + technical)
  • User needs actionable trading strategies

Not for

  • Yahoo Finance data quality varies by market
  • Some metrics may be N/A for loss-making companies

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/netease-youdao/LobsterAI --skill "SKILLs/stock-analyzer"
Safe inspection promptEditorial

Inspect the Agent Skill "stock-analyzer" from https://github.com/netease-youdao/LobsterAI/blob/fb2963523a3fa7d913f5f5140f5d342b3694cfdb/SKILLs/stock-analyzer/SKILL.md at commit fb2963523a3fa7d913f5f5140f5d342b3694cfdb. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Usage

    IMPORTANT: Always use the $SKILLSROOT environment variable to locate scripts.

    IMPORTANT: Always use the $SKILLSROOT environment variable to locate scripts.
  2. 02

    Workflow

    When user requests stock analysis:

    Identify ticker symbolUser may provide company name → use web-search to find tickerA-share: Shanghai = .SS, Shenzhen = .SZ
  3. 03

    Features

    Real-time Market Data — Current price, volume, market cap, beta

    Real-time Market Data — Current price, volume, market cap, betaValue Investing Metrics — P/E, P/B, ROE, ROA, dividend yield, payout ratioTechnical Indicators — MA5/20/60, RSI, MACD, Bollinger Bands, VWAP
  4. 04

    Dependencies

    Python packages (install once):

    Python packages (install once):

Permission review

Static risk signals and limitations

Runs scripts

medium · line 33

The documentation asks the agent to run terminal commands or scripts.

python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS

Runs scripts

medium · line 40

The documentation asks the agent to run terminal commands or scripts.

python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 000001.SZ --period 1y

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score89/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars5,783SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
netease-youdao/LobsterAI
Skill path
SKILLs/stock-analyzer/SKILL.md
Commit
fb2963523a3fa7d913f5f5140f5d342b3694cfdb
License
MIT
Collected
2026-08-06
Default branch
main
View the original SKILL.md

Stock Deep Analyzer

One-stop comprehensive stock analysis tool that generates professional-grade investment reports.

Features

  • Real-time Market Data — Current price, volume, market cap, beta
  • Value Investing Metrics — P/E, P/B, ROE, ROA, dividend yield, payout ratio
  • Technical Indicators — MA5/20/60, RSI, MACD, Bollinger Bands, VWAP
  • Growth Analysis — Revenue growth, earnings growth, profit margins
  • Financial Health — Asset/liability ratio, liquidity ratio
  • Investment Rating — Multi-dimensional scoring (value 35% / technical 25% / growth 25% / financial 15%)
  • Trading Strategies — Long-term hold, swing trade, short-term speculation
  • Risk Assessment — Key risks and price levels

Dependencies

Python packages (install once):

pip install yfinance pandas numpy

Usage

IMPORTANT: Always use the $SKILLS_ROOT environment variable to locate scripts.

Basic Analysis

export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 601288.SS

Specify Analysis Period

export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" 000001.SZ --period 1y

US Stocks

export PYTHONIOENCODING=utf-8
python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" AAPL

Parameters

ParameterDescriptionExampleDefault
tickerStock ticker symbol (required)601288.SS, AAPL-
--periodAnalysis period1mo, 3mo, 6mo, 1y, 2y6mo
--outputOutput formattext, jsontext

Stock Ticker Formats

  • A-share (Shanghai): 600519.SS, 601288.SS
  • A-share (Shenzhen): 000001.SZ, 002594.SZ
  • US stocks: AAPL, TSLA, NVDA
  • HK stocks: 0700.HK, 9988.HK

Output Structure

The analysis report includes 8 sections:

  1. Real-time Market Overview
  2. Value Investing Indicators (Score /10)
  3. Technical Analysis (Score /10)
  4. Growth Indicators (Score /10)
  5. Financial Health (Score /10)
  6. Comprehensive Investment Rating (Overall /10)
  7. Recommended Trading Strategies
  8. Key Risk Warnings

Workflow

When user requests stock analysis:

  1. Identify ticker symbol

    • User may provide company name → use web-search to find ticker
    • A-share: Shanghai = .SS, Shenzhen = .SZ
  2. Execute analysis

    export PYTHONIOENCODING=utf-8
    python "$SKILLS_ROOT/stock-analyzer/scripts/analyze.py" <ticker>
    
  3. Interpret results

    • Extract overall rating and key findings
    • Highlight investment recommendation
    • Emphasize risk warnings
    • Provide actionable price levels

Limitations

  • Yahoo Finance data quality varies by market
  • Some metrics may be N/A for loss-making companies
  • Historical data limited for newly listed stocks
  • Real-time quotes may have 15-min delay

When to Use This Skill

  • User requests "深度分析", "complete analysis", "comprehensive report"
  • User wants multi-dimensional evaluation (value + growth + technical)
  • User needs actionable trading strategies
  • User asks for investment recommendations with risk assessment

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