skills.rest
MileniumTick
MileniumTickCOMMUNITY
Explore all skills by this author →
GitHub

kanchi-dividend-review-monitor

Detect T1-T5 dividend-risk signals and generate a prioritized JSON review queue.

Updated Mar 25, 2026
Search Tags:#reporting#data-analysis#portfolio-governance#dividend#risk-monitoring#trigger-t1t5
One-click install
npx skills add https://github.com/MileniumTick/skills --skill kanchi-dividend-review-monitor-mileniumtick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kanchi-dividend-review-monitor
Source: https://github.com/MileniumTick/skills/tree/main/skills/kanchi-dividend-review-monitor
Command: npx skills add https://github.com/MileniumTick/skills --skill kanchi-dividend-review-monitor-mileniumtick

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Detect abnormal dividend-risk signals and route them into a human review queue. Treat automation as anomaly detection, not automated trading.

Core Features & Use Cases

  • Detects T1-T5 triggers across dividend, cashflow, balance sheet, filings, and operations data to classify tickers into OK, WARN, or REVIEW.
  • Generates a deterministic review queue JSON and a Markdown dashboard for quick triage, plus optional human-review tickets.
  • Supports daily to quarterly monitoring cadences and human-driven decision making with traceable evidence.

Quick Start

Provide a normalized input JSON and run the build_review_queue.py script to generate the JSON and Markdown reports.

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 monitor dividend risk signals and route them for human review?▼

Dividend risk monitoring detects T1-T5 triggers across financial datasets to classify tickers as OK, WARN, or REVIEW, routing flagged items into a prioritized queue for compliance and governance checks.

What is a T1-T5 trigger scoring system for dividend portfolio governance?▼

A T1-T5 trigger scoring system evaluates dividend, cashflow, balance sheet, filings, and operations data to classify portfolio holdings into OK, WARN, or REVIEW categories for governance triage.

How do I generate a dividend risk review queue from financial data?▼

Provide a normalized input JSON payload containing as_of and holdings fields, then run the build_review_queue script to generate a deterministic JSON queue and Markdown dashboard for triage.

Does this dividend risk monitor require specific input data formats?▼

Yes, it requires a normalized input payload with as_of and holdings fields to produce deterministic results across dividend, cashflow, balance_sheet, filings, and operations datasets.

What output formats are generated for dividend risk triage and reporting?▼

The Skill produces a deterministic review queue JSON for data processing, a Markdown dashboard for quick visual triage, and optional human-review tickets for governance tracking.

Can I use this for daily or quarterly dividend portfolio monitoring cadences?▼

Yes, the review queue supports daily to quarterly monitoring cadences, enabling human-driven decision making with traceable evidence for ongoing portfolio governance.

Related Skills

Explore More Finance & Accounting Skills→
pasie15pasie15

kanchi-dividend-review-monitor

Detect dividend risk signals and route affected tickers into human review queues.

Community
Advanced
XiaoPuOuOXiaoPuOuO
1

human-in-the-loop-review-ops

Coordinate human-in-the-loop review workflows for AI-generated outputs.

Community
Advanced
k1064190k1064190
2

kanchi-dividend-review-monitor

Monitor dividend portfolios for abnormal risk signals using T1-T5 forced-review triggers.

Community
Advanced
ryanthedevryanthedev
351

code-foundations

Classify code tasks and route them to checklists with quality gates.

Community
Advanced