private-company-research

## Codex adapter note This skill is generated from `skills/private-company-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. # 未上市公司研究：多Agent并行深度研究框架 对 $ARGUMENTS 进行团队化深度研究分析。专为蚂蚁集团、小红书、SpaceX、Stripe 等未上市公司设计。 **最终目标**：在信息天然稀缺的条件下，尽可能还原这家公司的**真实价值**——不是市场给的估值，而是生意本身值多少钱。 ## 框架特点 未上市公司 vs 上市公司研究的核心差异： - **无标准化财报**：需多源拼凑、交叉验证 - **估值锚定少**：依赖融资轮次、可比公司法、情景推演 - **信息不对称大**：需要更多"拼图式"研究方法 - **退出路径不确定**：IPO/并购/二级转让均有...