kanchi-dividend-review-monitor

You can monitor dividend portfolios by routing risk anomalies to a human review queue instead of auto-selling. This Skill classifies signals into OK, WARN, or REVIEW states with audit-friendly evidence for manual inspection.

A dividend review queue captures T1-T5 triggers and 8-K governance signals, converting them into OK, WARN, or REVIEW classifications. It generates JSON and Markdown reports with accompanying evidence for human oversight.

To generate a dividend risk report, provide normalized input data per the schema and run the review-queue builder script. This produces JSON and Markdown outputs classifying tickers into OK, WARN, or REVIEW states.

Yes, this works across daily and weekly dividend safety monitoring as well as 8-K governance checks. It applies periodic risk checks to detect anomalies and routes them for human review with evidence.

Dividend anomaly detection requires normalized input data structured per the references input schema. You must format your portfolio data accordingly before executing the build review queue script.

Automated dividend risk monitoring does not execute trades; it only flags anomalies for human review. It requires pre-normalized input data and cannot act as an auto-selling mechanism, ensuring human oversight before portfolio actions.