stock-valuation

Generate A-share stock valuation reports with scenario analysis and data source labeling.

1|1|Updated May 5, 2026
One-click install
npx skills add https://github.com/Ewan-yu/skill-repo --skill stock-valuation-ewan-yu
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Skill: stock-valuation
Source: https://github.com/Ewan-yu/skill-repo/tree/main/skills/stock-valuation
Command: npx skills add https://github.com/Ewan-yu/skill-repo --skill stock-valuation-ewan-yu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about stock-valuation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a complete A-share stock valuation report with scenario modeling?

A-share valuation reports select methods like PE, PB, PS, PEG, or PEV based on profitability stability and industry characteristics to avoid common valuation traps. The process evaluates business quality, company quality, and pricing while applying scenario modeling and risk disclosures to produce defensible investment assessments.

What is the best way to value A-share stocks using fundamental analysis?

Valuing A-share stocks requires method selection based on profitability stability and industry characteristics, choosing from PE, PB, PS, PEG, or PEV approaches. The process enforces evidence-first data collection using structured market data and fresh research, producing scenario-based target prices with explicit methodology rationale.

How do I prevent hallucinated financial data when building stock valuation models?

To prevent hallucinated financial data in stock valuation models, enforce strict tool priority by pulling structured market inputs first, then validating with fresh research context. This anti-hallucination approach blocks fabricated numeric assumptions, records data timestamps, and verifies price and valuation sanity bounds with clearly labeled sources.

Can I use real-time market data and research inputs for A-share scenario modeling?

Yes, A-share scenario modeling combines real-time structured market data with fresh research inputs to generate bear, base, and bull target prices. The process prioritizes dedicated data tools for latest valuation inputs and search tools for research context, using fallback connections only when primary tools are unavailable.

When do I need risk disclosure and scenario analysis for A-share investment assessment?

Risk disclosure and scenario analysis are needed for A-share investment assessment when producing decision-ready reports that require target prices with explicit uncertainty. This applies to individual stock deep dives, fundamental analysis, and financial teaching where defensible valuations must show business quality, company quality, and pricing across multiple outcomes.