How do I install the Stock Dividend skill?

Run npx skillmds@latest add aisa-team/stock-dividend-2 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 Dividend safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Stock Dividend?

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 Dividend free to use?

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

Who published Stock Dividend?

AIsa-team (@aisa-team) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Stock Dividend by aisa-team — Agent Skill

Name: Stock Dividend
Author: AIsa-team

Stock Dividend

Analyze read-only dividend metrics for stocks via AIsa API. Provides yield, payout ratio, growth CAGR, safety score, income rating, and Dividend Aristocrat/King status without placing trades, making purchases, or managing brokerage accounts. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.

AIsa-team Updated Sep 21, 2026

File contents

Dividend Analysis — AIsa Edition

Analyze dividend metrics for one or more tickers using the AIsa API. This is a read-only research helper: it does not connect to brokerage accounts, place orders, make purchases, or manage portfolios.

Usage

python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO
python3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO --output json

Arguments

Tickers: One or more dividend-paying stock symbols. Inputs are validated before they are sent to the model.
--output json: Append structured JSON summary

Permission Boundary

The only required secret is AISA_API_KEY.
Requests go to https://api.aisa.one/v1 by default.
AISA_BASE_URL is optional and should only point to a trusted AIsa-compatible HTTPS endpoint.
Do not provide brokerage credentials, trading passwords, cookies, or payment details. This skill has no purchase or order-placement workflow.

Analysis Output

For each ticker, the analysis includes:

Core Metrics: Yield, ex-date, frequency, last payment amount
Payout Analysis: Payout ratio, FCF payout, coverage ratio
Growth: 1Y, 3Y CAGR, 5Y CAGR, consecutive years of increases
Last 5 Annual Dividends table
Safety Score (0-100): Based on payout ratio (25pts), FCF coverage (20pts), growth consistency (20pts), balance sheet (15pts), earnings stability (10pts), consecutive years (10pts)
Income Rating: Excellent (80+), Good (60-79), Moderate (40-59), Poor (<40)
Dividend Aristocrat/King status check

When multiple tickers are provided, a ranked comparison table is included.

NOT FINANCIAL ADVICE. For informational purposes only.

---name: stock-dividend-2description: Analyze read-only dividend metrics for stocks via AIsa API. Provides yield, payout ratio, growth CAGR, safety score, income rating, and Dividend Aristocrat/King status without placing trades, making purchases, or managing brokerage accounts. Use when: the user needs market data, stock analysis, dividend research, or read-only financial data workflows.---# Dividend Analysis — AIsa EditionAnalyze dividend metrics for one or more tickers using the AIsa API. This is a read-only research helper: it does not connect to brokerage accounts, place orders, make purchases, or manage portfolios.## Usage```bashpython3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJpython3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KOpython3 "${CLAUDE_PLUGIN_ROOT}/skills/stock-dividend/scripts/dividends.py" JNJ PG KO --output json```### Arguments- **Tickers**: One or more dividend-paying stock symbols. Inputs are validated before they are sent to the model.- `--output json`: Append structured JSON summary## Permission Boundary- The only required secret is `AISA_API_KEY`.- Requests go to `https://api.aisa.one/v1` by default.- `AISA_BASE_URL` is optional and should only point to a trusted AIsa-compatible HTTPS endpoint.- Do not provide brokerage credentials, trading passwords, cookies, or payment details. This skill has no purchase or order-placement workflow.## Analysis OutputFor each ticker, the analysis includes:- **Core Metrics**: Yield, ex-date, frequency, last payment amount- **Payout Analysis**: Payout ratio, FCF payout, coverage ratio- **Growth**: 1Y, 3Y CAGR, 5Y CAGR, consecutive years of increases- **Last 5 Annual Dividends** table- **Safety Score (0-100)**: Based on payout ratio (25pts), FCF coverage (20pts), growth consistency (20pts), balance sheet (15pts), earnings stability (10pts), consecutive years (10pts)- **Income Rating**: Excellent (80+), Good (60-79), Moderate (40-59), Poor (<40)- **Dividend Aristocrat/King** status checkWhen multiple tickers are provided, a ranked comparison table is included.**NOT FINANCIAL ADVICE.** For informational purposes only.

Frequently asked questions