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Premarket review

Skill Jinchengawu/stock-monitoring-kit/skills/premarket-review

Create an evidence-first daily premarket brief for A-share, Hong Kong, or US markets. Use when the user asks for a pre-open plan, watchlist scan, daily/weekly BBI-KDJ-MACD-volume setup review, market and sector flow assessment, or a catalyst checklist before a trading session.From its SKILL.md

Install
npx -y skills add Jinchengawu/stock-monitoring-kit --skill premarket-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 20 days oldThe repository was created 20 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.9 KB, 327 tokens by cl100k_base, as published. Nobody here has run it

Premarket Review

Build a decision-support brief from current market data without turning technical signals into personalized trade instructions.

Workflow

  1. Establish the market, session date, timezone, watchlist, and data cutoff.
  2. Gather or accept current index, sector-flow, event-calendar, news, and daily/weekly OHLCV context. Mark missing or stale inputs.
  3. If the stock-monitoring MCP tools are available, call evaluate_strategy for each symbol and timeframe. Otherwise calculate the same definitions explicitly:
    • BBI: mean of MA3, MA6, MA12, and MA24.
    • Volume anomaly: latest volume divided by the configured rolling average.
    • KDJ: highlight oversold/overbought extremes and direction changes.
    • MACD: identify only confirmed latest-bar golden or death crosses.
  4. Separate observed facts, consensus expectations, and inference. Include source timestamps for time-sensitive facts.
  5. Rank items by evidence quality and signal confluence. Treat a single indicator as insufficient.
  6. Produce the output below.

Output

  • Data timestamp and coverage gaps
  • Market regime and overnight transmission
  • Today's scheduled catalysts and preread direction
  • Index and sector incremental-capital signals
  • Watchlist table: symbol, daily setup, weekly setup, volume, catalyst, invalidation
  • Base/upside/downside scenarios with triggers
  • Verification checklist for the session
  • Research-only disclaimer

Never invent live prices, flows, event times, or disclosures. Ask for data or browse reliable primary sources when current information is required and tools permit it.

What ships with it: 1 file

532 B alongside SKILL.md

agents/

Keep looking

Skills are one crate of 326,782. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.