investment-research

## Codex adapter note This skill is generated from `skills/investment-research.md` so Claude Code and Codex users share one canonical workflow. - Treat `$ARGUMENTS` as the user's request in the current Codex thread. - When the source mentions Claude-only surfaces such as Task, Agent, WebSearch, Bash, Read, or Write, use the closest Codex capability available in this session: subagents when available, web search when needed, shell commands for local tools, and normal file edits for workspace files. - Use shared project tools from `tools/` in this repository. Prefer running commands from the repository root with paths like `python3 tools/financial_rigor.py ...`; if the current thread starts outside the repo, locate the actual checkout path first instead of assuming a fixed home-directory path. - Before starting research, run the `date` command to confirm today's date; treat it as the baseline for "latest" data and state the data cutoff date in the report header. Never assume the current date from training data. - Preserve the research quality rules from `AGENTS.md`: cross-check financial data, use exact arithmetic tools for valuation/math, and clearly label uncertainty and source gaps. # 投资研究：巴菲特-芒格-段永平-李录 四大师综合分析框架 对 $ARGUMENTS 进行系统化投资研究分析。 ## 研究框架 基于巴菲特、芒格、段永平、李录四位投资大师的方法论，按以下七个模块顺序执行研究： ### 前置步骤：AI研究偏见自觉（必须执行） 在开始研究前，先评估该公司的"AI可研究性"，识别潜在的数据偏见： **信息丰富度评级**： | 等级 | 特征 | AI研究陷阱 | 应对策略 | |------|------|-----------|---------| | A级（信息充裕） | 上市多年、券商覆盖多、媒体报道密集 | 共识过强，AI输出趋同于...