private-company-research

Installation
SKILL.md

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

Installs
132
GitHub Stars
14.9K
First Seen
Jun 27, 2026
private-company-research — xbtlin/ai-berkshire