# kanchi-dividend-review-monitor

Monitors dividend portfolios with Kanchi triggers T1-T5 and routes anomalies into OK, WARN, and REVIEW states without automatic selling.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 3200 installs · ★ 3267
- Author: tradermonty
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/kanchi-dividend-review-monitor/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/kanchi-dividend-review-monitor

## What it does

The skill evaluates dividend holdings and flags risk events into three explicit states: `OK`, `WARN`, and `REVIEW`. It runs against normalized input JSON data covering payout trends, debt ratios, and cash flow metrics defined in `references/input-schema.md`.

The core engine executes via `python3 skills/kanchi-dividend-review-monitor/scripts/build_review_queue.py`. It flags cuts, scans recent SEC 8-K filings for keywords such as `Item 4.02` or auditor resignations, and outputs Markdown summaries. Machine triggers never execute automated sales, ensuring every risk alert requires human verification before making position adjustments.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/kanchi-dividend-review-monitor/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/kanchi-dividend-review-monitor/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/kanchi-dividend-review-monitor/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/kanchi-dividend-review-monitor/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install tradermonty/claude-trading-skills kanchi-dividend-review-monitor
```

2. **Manually: put the files in place**
- File: `.github/skills/kanchi-dividend-review-monitor/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/tradermonty/claude-trading-skills --path skills/kanchi-dividend-review-monitor
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/kanchi-dividend-review-monitor/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/kanchi-dividend-review-monitor/SKILL.md

## When to use it
- detect dividend cuts or suspensions using triggers T1-T5
- scan SEC 8-K filings for governance and accounting red flags
- generate human review tickets for high-risk holdings
- categorize holdings into deterministic OK, WARN, and REVIEW states

## Example prompts
- Run `build_review_queue.py` on `monitor_input.json` and generate today's review queue.
- Scan 8-K filings for my portfolio holdings to check for Item 4.02 and auditor resignation flags.
- Check dividend coverage trends across my holdings and list any REVIEW items.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a8ac9be7d969c54c.

BEGIN THIRD-PARTY FILE a8ac9be7d969c54c
```text
---
name: kanchi-dividend-review-monitor
description: Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.
---

# Kanchi Dividend Review Monitor

## Overview

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

## When to Use

Use this skill when the user needs:
- Daily/weekly/quarterly anomaly detection for dividend holdings.
- Forced review queueing for T1-T5 risk triggers.
- 8-K/governance keyword scans tied to portfolio tickers.
- Deterministic `OK/WARN/REVIEW` output before manual decision making.

## Prerequisites

Provide normalized input JSON that follows:
- `references/input-schema.md`

If upstream data is unavailable, provide at least:
- `ticker`
- `instrument_type`
- `dividend.latest_regular`
- `dividend.prior_regular`

## Non-Negotiable Rule

Never auto-sell based only on machine triggers.
Always create `WARN` or `REVIEW` evidence for human confirmation first.

## State Machine

- `OK`: no action.
- `WARN`: add to next check cycle and pause optional adds.
- `REVIEW`: immediate human review ticket + pause adds.

Use `references/trigger-matrix.md` for trigger thresholds and actions.

### Flat-dividend cadence caveat

When T6 is driven only by `freeze_flag` / latest regular dividend equal to prior regular dividend, treat it as a `WARN` for cadence confirmation, not as proof of dividend deterioration. Many quarterly dividend payers repeat the same dividend for several quarters between annual raise cycles. In reports, phrase this as “confirm next dividend-growth cadence / pause optional adds until checked” and avoid implying a cut or broken thesis unless T1/T2/T3/T4/T5 evidence also supports escalation.

## Monitoring Cadence

- Daily:
  - T1 dividend cut/suspension.
  - T4 SEC filing keyword scan (8-K oriented).
- Weekly:
  - T3 proxy credit stress checks.
- Quarterly:
  - T2 coverage deterioration and T5 structural decline scoring.

## Workflow

### 1) Normalize input dataset

Collect per ticker fields in one JSON document:
- Dividend points (latest regular, prior regular, missing/zero flag).
- Coverage fields (FCF or FFO or NII, dividends paid, ratio history).
- Balance-sheet trend fields (net debt, interest coverage, buybacks/dividends).
- Filing text snippets (especially recent 8-K or equivalent alert text).
- Operations trend fields (revenue CAGR, margin trend, guidance trend).
```
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First 2688 of 5242 bytes. © tradermonty · MIT · https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/kanchi-dividend-review-monitor/SKILL.md

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