Kanchi Dividend Review Monitor
This is a dividend safety monitoring system that scans your holdings for red flags like cuts, coverage deterioration, or sketchy 8-K filings, then routes them into OK/WARN/REVIEW buckets instead of auto-selling anything. It runs T1 through T5 triggers on different cadences (daily for dividend cuts, weekly for credit stress, quarterly for structural decline) and spits out a prioritized review queue with evidence snippets. The hard rule is human confirmation before any action, which makes sense if you've ever seen a mechanical system dump a good stock during a temporary hiccup. Designed to feed back into the broader Kanchi dividend SOP workflow and pairs with their tax accounting skill when risk events mean moving positions between account types.
- skills.sh installs
- 3.4K
- GitHub stars
- 3.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill kanchi-dividend-review-monitor --agent claude-codeInstalls into .claude/skills of the current project.
Files
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/REVIEWoutput before manual decision making.
Prerequisites
Provide normalized input JSON that follows:
references/input-schema.md
If upstream data is unavailable, provide at least:
tickerinstrument_typedividend.latest_regulardividend.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
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
SnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthly
WaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthly
knobsSponsoredSee your site on any phone, any day, in any languageDetails
- Repository
- github.com/tradermonty/claude-trading-skills
- Categories
- DevOps & CI/CD, Git & Pull Requests, Code Review & Quality, Finance & Trading
- First seen
- Jun 3, 2026
More from tradermonty/claude-trading-skills
All 54- Edge Signal Aggregator3.4K
- Skill Designer3.3K
- Skill Integration Tester3.3K
- Skill Idea Miner3.3K
- Breakout Trade Planner3.3K
- Downtrend Duration Analyzer3.3K
- Ibd Distribution Day Monitor3.2K
- Parabolic Short Trade Planner3.1K
- Us Stock Analysis5.8K
- Backtest Expert4.5K
- Market News Analyst4.4K
- Technical Analyst4.3K
- Market Environment Analysis4.2K
- Position Sizer4.1K
- Portfolio Manager4.1K
- Value Dividend Screener4K
- Macro Regime Detector3.9K
- Options Strategy Advisor3.9K
- Canslim Screener3.8K
- Institutional Flow Tracker3.8K
- Earnings Calendar3.7K
- Economic Calendar Fetcher3.7K
- Sector Analyst3.7K
- Stanley Druckenmiller Investment3.7K
Recommended
More DevOps & CI/CD
render-deployopenai/skillsDeploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, h3.3Kskills.sh installs
ibd-distribution-day-monitortradermonty/claude-trading-skillsDetect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 cl3.2Kskills.sh installs
recruiting-pipelineanthropics/knowledge-work-pluginsTrack and manage recruiting pipeline stages. Trigger with "recruiting update", "candidate pipeline", "how many candidates", "hiring status", or when the user di3Kskills.sh installs
dd-apmdatadog-labs/agent-skillsAPM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis. Use for any request involving Datadog APM s2.1Kskills.sh installs
digital-health-clinical-asr-buildnvidia/skillsStage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clin1.9Kskills.sh installsvss-deploy-detection-tracking-3dnvidia/skillsDeploy and operate the RTVI-CV-3D microservice as MV3DT (`MODE=mv3dt`): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. Supports the b1.8Kskills.sh installs