About this skill

Problem

Single-stock diagnostics often break down because quotes, financials, industry data, concepts, and ratings live in separate endpoints. Manual assembly can introduce misaligned rows, wrong totals, and inconsistent target-price logic. This skill turns the workflow into a repeatable routine: it pulls A-share inputs, validates them, and emits a structured report without turning into a buy/sell recommendation.

Workflow and capabilities

Input: accepts a stock name or a 6-digit code, such as CATL or 300750.
Data layer: calls jy-financedata-tool and jy-financedata-api for live quotes, revenue mix, financial trends, industry classification, concept boards, institutional ratings, consensus estimates, cash flow, and technical indicators.
Validation layer: AShareLiveQuote is checked twice; percentage change and market cap are re-derived; tables must pass row/column, total, 100% share, and target-price checks such as highest ≥ average ≥ median ≥ lowest.
Output layer: produces a fixed report with a live-quote table, company operations, industry dynamics, concept hotspots, market analysis, synthesis, and a disclaimer.

Boundaries

Scope is A-shares only; HK and US stocks are out of scope.
Outside trading hours, quotes usually reflect the latest close; financials reflect the latest disclosed period.
The skill does not provide investment advice, and the MCP service, JY_API_KEY, and runtime must be ready before analysis.

Screenshots

Use Cases

When asked to analyze CATL, compile quotes, financials, industry data, ratings, and a validated diagnostic report.
Before a weekly note, summarize an A-share stock's valuation, cash flow, and institutional ratings into a traceable table.
Compare institutional ratings, target prices, and latest research views across stocks in the same concept sector.
When an output looks off, recheck percentage change, market cap, share totals, and target-price logic.

Best For

Financial analysts who need a fixed-template stock diagnostic report and must validate quotes, financials, ratings, and target prices.
Research assistants comparing industry and concept peers while compiling SW industry, ratings, and research views.
MCP workflow engineers checking `mcporter`, `JY_API_KEY`, and tool outputs for reproducible data.
Data analysts turning A-share stock inputs into reports by aligning valuation, cash flow, and financial trends.

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