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.
Quickly install kanchi-dividend-review-monitor AI skill to your development environment via command line
Source: tradermonty/claude-trading-skills.
Detect abnormal dividend-risk signals and route them into a human review queue. Treat automation as anomaly detection, not automated trade execution.
Never auto-sell based only on machine triggers. Always create WARN or REVIEW evidence for human confirmation first.
Use references/input-schema.md for field definitions and sample payload.
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. Source: tradermonty/claude-trading-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitorMonitor 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. Source: tradermonty/claude-trading-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/tradermonty/claude-trading-skills