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kanchi-dividend-review-monitor

Apply Kanchi-style forced-review triggers to dividend portfolio data and output a review queue.

2|Updated Mar 4, 2026
Search Tags:#monitoring#governance#financial analysis#filings#risk#dividend#review queue
One-click install
npx skills add https://github.com/Fabio29T/Trading-Skills --skill kanchi-dividend-review-monitor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kanchi-dividend-review-monitor
Source: https://github.com/Fabio29T/Trading-Skills/tree/main/skills/kanchi-dividend-review-monitor
Command: npx skills add https://github.com/Fabio29T/Trading-Skills --skill kanchi-dividend-review-monitor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the detection of dividend-related risks and governance red flags in a portfolio, routing potential issues into a human review queue without triggering automated sales.

Core Features & Use Cases

  • Dividend Anomaly Detection: Monitors for dividend cuts, suspensions, and coverage deterioration (T1, T2).
  • Governance & Filing Scans: Scans SEC filings for critical keywords indicating financial distress or governance issues (T4).
  • Structural Decline Assessment: Identifies companies showing signs of long-term business model weakening (T5).
  • Credit Stress Indicators: Flags potential creditworthiness issues based on debt and interest coverage trends (T3).
  • Use Case: Automatically flag stocks in your dividend portfolio that have recently cut their dividend or are showing concerning trends in their financial filings, presenting them for your review before any action is taken.

Quick Start

Use the kanchi-dividend-review-monitor skill to process the provided dividend monitoring input data.

Frequently Asked Questions about kanchi-dividend-review-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate dividend risk monitoring for my portfolio?▼

Automate dividend risk monitoring by applying Kanchi-style forced-review triggers (T1-T5) to detect cuts, coverage deterioration, and governance red flags, converting them into OK/WARN/REVIEW states for a review queue.

What financial distress signals should I look for in SEC filings?▼

SEC filings can be scanned for critical governance keywords indicating financial distress, alongside structural decline and credit stress signals, to route concerning holdings into a human review queue.

How do I flag dividend cuts and coverage deterioration automatically?▼

Flag dividend cuts and coverage deterioration automatically by applying T1 and T2 forced-review triggers to your normalized input JSON, generating a markdown dashboard of flagged holdings.

Do I need a specific data format for dividend anomaly detection?▼

Dividend anomaly detection requires normalized input JSON with detailed financial and operational data per holding to accurately assess credit stress, structural decline, and dividend coverage.

Can this tool automatically sell stocks when credit stress is detected?▼

When credit stress is detected via T3 triggers, the tool does not execute automated sales; instead, it routes the flagged holdings into a human review queue to prevent premature liquidation.

What is the best way to review structural decline in dividend stocks?▼

The best way to review structural decline is applying T5 forced-review triggers to identify long-term business model weakening, outputting a markdown dashboard for systematic human evaluation.

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