thesis-tracker
FeaturedAI Berkshire skill: 投资论文追踪:买入后的纪律系统. Source: skills/thesis-tracker.md.
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## Codex adapter note
This skill is generated from `skills/thesis-tracker.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.
# 投资论文追踪:买入后的纪律系统
对 $ARGUMENTS 执行投资论文追踪检查。
**支持输入格式**:
- `公司名` — 首次使用时建立投资论文,后续使用时追踪检查
- `公司名 建立论文` — 强制重新建立投资论文
- `公司名 季度检查` — 基于最新财报进行论文检查
> "买入只是开始。真正的工作是持有期间的持续跟踪。" —— 李录
>
> "当事实改变时,我就改变想法。你呢?" —— 凯恩斯
## 设计理念
大多数投资者的流程是:研究 → 买入 → 祈祷。缺少买入后的系统化跟踪,导致:
- 该卖的时候舍不得卖("再等等,会涨回来的")
- 不该卖的时候恐慌卖出("跌...
Details
- Author
- xbtlin
- Repository
- xbtlin/ai-berkshire
- Created
- 3 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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