How do I install the Stock Analysis skill?

Run npx skillmds@latest add baofeng-tech/stock-analysis-6 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Stock Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Stock Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Stock Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Stock Analysis?

baofeng-tech (@baofeng-tech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Stock Analysis by baofeng-tech — Agent Skill

Name: Stock Analysis
Rating: 4.5 (4 reviews)
Author: baofeng-tech

Stock Analysis

Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.

baofeng-tech Updated Sep 22, 2026 1 repo stars

File contents

Stock & Crypto Analysis — AIsa Edition

Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.

Setup

This skill requires an AIsa API key. Set it via plugin configuration or environment variable:

export AISA_API_KEY=your_key_here
export AISA_BASE_URL=https://api.aisa.one/v1   # optional
export AISA_MODEL=gpt-4o                         # optional

Or use environment variables (set automatically when the plugin is enabled).

Usage

Run the analysis script with one or more ticker symbols:

python3 scripts/analyze_stock.py AAPL
python3 scripts/analyze_stock.py BTC-USD ETH-USD
python3 scripts/analyze_stock.py AAPL MSFT GOOGL
python3 scripts/analyze_stock.py AAPL --fast
python3 scripts/analyze_stock.py AAPL --output json

Arguments

Tickers: One or more stock symbols (e.g., AAPL, MSFT) or crypto symbols (e.g., BTC-USD, ETH-USD)
--fast: Skip slow analyses (insider trading, detailed news) for faster results
--output json: Append a structured JSON summary after the analysis

Multi-Ticker Comparison

When multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:

Ticker	Score	Signal	Key Strength	Key Risk

8-Dimension Scoring (Stocks)

#	Dimension	Weight
1	Earnings Surprise	30%
2	Fundamentals (P/E, margins, growth)	20%
3	Analyst Sentiment	20%
4	Historical Patterns	10%
5	Market Context (VIX, SPY/QQQ)	10%
6	Sector Performance	15%
7	Momentum (RSI, 52w range)	15%
8	Sentiment (Fear/Greed, shorts, insiders)	10%

3-Dimension Scoring (Crypto)

#	Dimension	Weight
1	Market Cap & Category	40%
2	BTC Correlation (30-day)	30%
3	Momentum (RSI, range, volume)	30%

Risk Flags

Automatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News

Output

Final recommendation includes: Score (0-10), Signal (BUY/HOLD/SELL), Confidence (High/Medium/Low), and Entry / Target / Stop prices.

NOT FINANCIAL ADVICE. For informational purposes only.

---name: stock-analysis-6description: Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.---# Stock & Crypto Analysis — AIsa EditionAnalyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.## SetupThis skill requires an AIsa API key. Set it via plugin configuration or environment variable:```bashexport AISA_API_KEY=your_key_hereexport AISA_BASE_URL=https://api.aisa.one/v1 # optionalexport AISA_MODEL=gpt-4o # optional```Or use environment variables (set automatically when the plugin is enabled).## UsageRun the analysis script with one or more ticker symbols:```bashpython3 scripts/analyze_stock.py AAPLpython3 scripts/analyze_stock.py BTC-USD ETH-USDpython3 scripts/analyze_stock.py AAPL MSFT GOOGLpython3 scripts/analyze_stock.py AAPL --fastpython3 scripts/analyze_stock.py AAPL --output json```### Arguments- **Tickers**: One or more stock symbols (e.g., `AAPL`, `MSFT`) or crypto symbols (e.g., `BTC-USD`, `ETH-USD`)- `--fast`: Skip slow analyses (insider trading, detailed news) for faster results- `--output json`: Append a structured JSON summary after the analysis### Multi-Ticker ComparisonWhen multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:| Ticker | Score | Signal | Key Strength | Key Risk ||--------|-------|--------|-------------|----------|## 8-Dimension Scoring (Stocks)| # | Dimension | Weight ||---|-----------|--------|| 1 | Earnings Surprise | 30% || 2 | Fundamentals (P/E, margins, growth) | 20% || 3 | Analyst Sentiment | 20% || 4 | Historical Patterns | 10% || 5 | Market Context (VIX, SPY/QQQ) | 10% || 6 | Sector Performance | 15% || 7 | Momentum (RSI, 52w range) | 15% || 8 | Sentiment (Fear/Greed, shorts, insiders) | 10% |## 3-Dimension Scoring (Crypto)| # | Dimension | Weight ||---|-----------|--------|| 1 | Market Cap & Category | 40% || 2 | BTC Correlation (30-day) | 30% || 3 | Momentum (RSI, range, volume) | 30% |## Risk FlagsAutomatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News## OutputFinal recommendation includes: **Score (0-10)**, **Signal (BUY/HOLD/SELL)**, **Confidence (High/Medium/Low)**, and **Entry / Target / Stop prices**.**NOT FINANCIAL ADVICE.** For informational purposes only.

Frequently asked questions