What problem does it solve?
This Skill solves the problem of generating a complete and defensible A-share stock valuation report by forcing evidence-first data collection, proper valuation-method selection, and structured scenario analysis instead of guesswork.
Core Features & Use Cases
- Evidence-first data discipline: prioritizes mx-data for latest real-time/valuation inputs and mx-search for fresh research/industry context, using MCP only as a fallback when mx tools are unavailable.
- Method selection by fundamentals: selects valuation approaches (PE/PB/PS/PEG/PEV) based on profitability stability, industry characteristics, and risk of common valuation traps.
- End-to-end report generation: produces a templated report covering business quality (“good business”), company quality (“good company”), valuation and timing (“good price”), plus three-scenario outputs and risk disclosures.
- Anti-hallucination and validation checks: blocks fabricated numbers and enforces cross-validation guidance (e.g., record timestamps, verify price/valuation sanity bounds, and clearly label data sources).
Use case examples:
- Building a decision-ready valuation report for any A-share where the user needs investment value assessment, financial/valuation teaching, or deep fundamental analysis.
- Producing a scenario-based target price (bear/base/bull) with explicit uncertainty and methodology rationale.
Quick Start
Use the stock-valuation skill to analyze a specific A-share and generate a full valuation report with real-time inputs from mx-data plus latest research from mx-search.