deep-company-series

## Codex adapter note This skill is generated from `skills/deep-company-series.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. # 深度公司系列：8 篇长文拆一家公司 为 $ARGUMENTS 撰写一个 8 篇深度长文系列，发布在公众号/视频号等公开渠道。**核心 IP 不是"会写"，而是"会改"——99% 的财经文章在违反本 skill 的事实核查标准**。 参考样本：`reports/腾讯/《看懂腾讯》/` --- ## 一、触发场景 用户希望为一家公司做"教科书级别"的深度研究，并以**系列长文**形式公开发布。区别于一篇研报： - 8 篇约 12 万字，从认知重置到决策框架完整闭环 - 每篇独立成文（适合单篇分享），但贯穿一套估值/管理层/价格判断 - 写给"愿意花 90 分钟读懂一家公司...