What problem does it solve? Single-prompt AI stock analysis tends to produce vague, both-sides commentary without actionable conclusions. This Skill orchestrates a four-agent research team that analyzes a company from the perspectives of Buffett, Munger, Duan Yongping, and Li Lu, forcing explicit buy/wait/avoid conclusions with price ranges. ## Core Features & Use Cases - Parallel Multi-Agent Research: Launches four background agents covering business model, financials and valuation, industry competition, and risk and management quality, then synthesizes a final report. - Financial Rigor Verification: Requires exact arithmetic via tools/financial_rigor.py for market cap, valuation, cross-validation, and three-scenario valuation instead of LLM mental math. - Anti-Bias Safeguards: Includes information-richness grading (A/B/C), WebSearch permission pre-checks, dual-source data requirements, and a post-report audit sampling workflow via tools/report_audit.py. - Use Case: Ask for a deep-dive on a listed company such as Pinduoduo or Meituan and receive a structured report with four-dimension scoring, bull vs bear theses, a Buffett-style checklist, and tiered buy recommendations with price ranges. ## Quick Start Ask the assistant to run a full investment-team research analysis on a specific listed company and confirm the four-agent team structure to begin.
