Registry indexed
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 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.
Source documentation, not instructions for this website. Review permissions before running any commands.
Analyze one or more stock or crypto tickers using the AIsa API with live Yahoo Finance data.
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 the plugin's userConfig values (set automatically when the plugin is enabled).
Run the analysis script with one or more ticker symbols:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --output json
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 analysisWhen multiple tickers are provided, the script produces individual analyses followed by a ranked comparison table:
| Ticker | Score | Signal | Key Strength | Key Risk |
|---|
| # | 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% |
| # | Dimension | Weight |
|---|---|---|
| 1 | Market Cap & Category | 40% |
| 2 | BTC Correlation (30-day) | 30% |
| 3 | Momentum (RSI, range, volume) | 30% |
Automatically detected: Pre-earnings, Post-spike, Overbought, Risk-Off, Breaking News
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
description: 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.
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata:
aisa:
emoji: 📊
requires:
bins:
- python3
env:
- AISA_API_KEY
primaryEnv: AISA_API_KEY
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.---
name: stock-analysis
description: 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.
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata:
aisa:
emoji: 📊
requires:
bins:
- python3
env:
- AISA_API_KEY
primaryEnv: AISA_API_KEY
compatibility: Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
---
# 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:
```bash
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 the plugin's `userConfig` values (set automatically when the plugin is enabled).
## Usage
Run the analysis script with one or more ticker symbols:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" BTC-USD ETH-USD
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL MSFT GOOGL
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/scripts/analyze_stock.py" AAPL --fast
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-analysis/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.
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
60/100
Promising
Trust
56/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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Do not auto-install
Audit
72/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.