a-share-metrics-card_skill

This skill retrieves and compiles A-share key metrics into a unified Markdown card for quick comparison and ongoing tracking.
  • Python

2.5k

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill a-share-metrics-card

  • _meta.json291 B
  • README.md1.2 KB
  • SKILL.md1.8 KB

Overview

This skill generates a unified A-share metrics “health card” for a single stock, summarizing valuation, profitability quality, cash flow, leverage, dividend history, and trading activity in Markdown. It fetches on-chain A-share data (preferably via AkShare) and writes a reusable card file for comparison and tracking. The output is strictly informational — no buy/sell recommendations or target prices.

How this skill works

You provide a symbol (e.g., "600406") and optional name, focus (balanced/value/growth/dividend), and output path. The skill validates inputs, pulls data from AkShare or fallback public APIs/web pages, annotates each metric with data scope and timestamp, and assembles a standardized Markdown card. It writes the card to the chosen output path and returns status, a short summary, the raw data, and suggested next actions.

When to use it

  • Quickly generate a snapshot of one A-share for research or record-keeping.
  • Create comparable Markdown cards for multiple tickers to support tracking or screening.
  • Produce a time-stamped data export before meetings or investment reviews.
  • Check key quality and risk metrics after earnings or before making operational follow-ups.
  • Automate periodic monitoring by saving cards to a notes folder.

Best practices

  • Always supply the symbol; use the optional name to override automatic recognition when needed.
  • Pick a focus (balanced/value/growth/dividend) to highlight relevant metrics in the summary.
  • Verify data source notes and timestamps at top of the card — AkShare is preferred but may lag for intraday numbers.
  • Store cards under a consistent outputPath for easy diffs and historical tracking.
  • Treat the card as a data snapshot; perform deeper checks on cash flow statements or filings for material decisions.

Example use cases

  • "Create a metrics card for 600406 and save to notes/stocks/cards/600406.md".
  • "Generate a dividend-focused card for 000733 to review recent payout history."
  • Bulk process a watchlist to produce comparable Markdown cards for weekly review.
  • Use the card as the basis for a short internal memo listing items that need further verification.

FAQ

Only symbol is mandatory (e.g., "600406"). You can optionally pass name, focus, and outputPath.

Which data sources are used?

AkShare is the preferred Python source. If unavailable, the skill falls back to public web APIs or scraped pages and annotates the source and timestamp.

Will the skill give buy/sell advice?

No. The card reports data and concise observations only; it never issues trading recommendations or target prices.

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