Agent skill · data analytics · tradermonty
kanchi-dividend-review-monitor
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.
Why this skill is useful
Adds a Python script for monitoring dividend portfolios with specific anomaly detection and review workflows that are not commonly known.
What it needs
Requires python3 installed locally. About 3k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
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 instrumenttype dividend.latestregular dividend.priorregular 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 freezeflag / 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). …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/kanchi-dividend-review-monitor