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.
npx skills add BaggaT236/AI-Trading-Skills --skill kanchi-dividend-review-monitor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 r
- Overview
- When to Use
- Prerequisites
- Non-Negotiable Rule
- State Machine
- Flat-dividend cadence caveat
- Monitoring Cadence
- Workflow
- 1) Normalize input dataset
- 2) Run the rule engine
- 3) Prioritize and deduplicate
- 4) Generate human review tickets
- SEC Filing Guardrail
- Output Contract
python3 skills/kanchi-dividend-review-monitor/scripts/build_review_queue.py \
What does the kanchi-dividend-review-monitor skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill kanchi-dividend-review-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.