stock-dividend
Skill0 starsChanged 7 months agoMITView on GitHub
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.
- Reads credentials
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- AISA-skills/financial-data-skillsedited, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- AISA-skills/financial-data-skills★ 487% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Do not provide brokerage credentials, trading passwords, cookies, or payment details.
- Distinctive: line 52
When multiple tickers are provided, a ranked comparison table is included.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 scripts/dividends.py JNJ
python3 scripts/dividends.py JNJ PG KO
python3 scripts/dividends.py JNJ PG KO --output jsonArguments
- 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/v1by default. AISA_BASE_URLis 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.
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