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minesweeper

Assess A-share financial report risk using 28 rules across 7 layers.

179|46|Updated Apr 12, 2026
Search Tags:#risk assessment#stock analysis#financial risk#fraud detection#financial report
One-click install
npx skills add https://github.com/terancejiang/financial-report-minesweeper --skill minesweeper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minesweeper
Source: https://github.com/terancejiang/financial-report-minesweeper/tree/main/skill
Command: npx skills add https://github.com/terancejiang/financial-report-minesweeper --skill minesweeper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tushare, pandas, requests, PyPDF2, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of analyzing A-share annual financial reports for potential fraud and risk signals using a structured checklist derived from financial expert Tang Chao's methodology.

Core Features & Use Cases

  • Automated Risk Assessment: Quickly assess the risk level of a stock based on 28 comprehensive rules.
  • Data Collection: Fetches 10 years of financial data from Tushare API and optionally downloads annual report PDFs.
  • Rule Evaluation: Applies a 7-layer rule set to analyze quantitative and qualitative aspects of the financial report.
  • Use Case: Use the Skill to analyze the financial report of a specific stock by providing its stock code or name.

Quick Start

/minesweeper 600519

Frequently Asked Questions about minesweeper

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

FAQPage Schema
How do I assess financial report fraud risk for A-share stocks?▼

You can assess financial report fraud risk by automating data collection from the Tushare API and applying a 7-layer, 28-rule checklist to evaluate quantitative and qualitative risk signals in A-share annual reports.

Can I use Tushare API data to detect stock investment red flags?▼

Yes, you can use Tushare API data to detect stock investment red flags by fetching 10 years of financial history and evaluating it against a structured checklist derived from Tang Chao's financial risk methodology.

What is the best way to automate annual report PDF risk assessment?▼

The best way to automate annual report PDF risk assessment is to optionally download the PDFs, extract data using PyPDF2, and cross-reference it with quantitative Tushare API data against 28 predefined risk rules.

Does this financial risk assessment approach require a Tushare API token?▼

Yes, this financial risk assessment approach requires a Tushare API token because it actively fetches 10 years of financial data from the Tushare API to perform the 28-rule quantitative and qualitative evaluation.

What are the limitations of using a 28-rule checklist for stock analysis?▼

A limitation of using a 28-rule checklist for stock analysis is that it is specifically structured for A-share stocks and relies on the Tushare API and Tang Chao's methodology, which may not cover all market anomalies or real-time fraud.

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