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). Use references/input schema.md for field definitions and sample payload. 2) Run the rule engine Run: The script maps each ticker to OK/WARN/REVIEW based on T1 T5. Output files are saved to the specified directory with dated filenames (e.g., review queue 20260227.json and .md ). 3) Prioritize and deduplicate If multiple triggers fire: Keep all findings for audit trail. Escalate final state to highest severity only. Store trigger reasons as single line evidence. 4) Generate human review tickets For each REVIEW ticker, include: Trigger IDs and evidence. Suspected failure mode. Required manual checks for next decision. Use references/review ticket template.md output format. SEC Filing Guardrail When implementing live SEC fetchers: Include a compliant User Agent string (name + email). Use caching and throttling. Respect SEC fair access guidance. In scheduled portfolio reviews where upstream filing snippets are empty, use SEC company tickers.json plus https://data.sec.gov/submissions/CIK .json to enumerate recent 8 K / 8 K/A filings for each holding, then scan primary filing documents for the T4 keyword family ( Item 4.02 , non reliance, restatement, material weakness, SEC investigation, subpoena, going concern, auditor resignation, internal control). Record the scan window, recent 8 K count, and whether hits were found. Treat "no keyword hits" as a narrow T4 scan result, not a full governance clearance. Output Contract Always return: 1. Queue JSON with summary counts and ticker level findings. 2. Markdown dashboard for quick triage. 3. List of immediate REVIEW tickets. Multi Skill Handoff Consume ticker universe and baseline assumptions from kanchi dividend sop . Feed REVIEW results back to kanchi dividend sop for re underwriting and position size review. Share account type context with kanchi dividend us tax accounting when risk events imply account relocation decisions. Resources scripts/build review queue.py : local rule engine for T1 T5. scripts/tests/test build review queue.py : unit tests for T1 T5 and report rendering. references/trigger matrix.md : trigger definitions, cadence, and actions. references/input schema.md : normalized input schema and sample JSON. references/review ticket template.md : standardized manual review ticket layout.

kanchi-dividend-review-monitor