financial-data
FeaturedAI Berkshire skill: 财务数据获取与交叉验证规范. Source: skills/financial-data.md.
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## Codex adapter note
This skill is generated from `skills/financial-data.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.
# 财务数据获取与交叉验证规范
本规范适用于所有涉及企业财务数据的研究。**每个关键数据必须来自两个独立来源,误差>1%须标记。**
---
## 数据源优先级
### 美股(PDD、腾讯ADR、网易ADR等)
| 优先级 | 来源 | URL | 获取方式 |
|--------|------|-----|---------|
| 1(主) | **macrotrends** | macrotrends.net/stocks/charts/{ticker} | 直接访问,无需注册 |
| 2(副) | **stockanalysis** | stockanalysis.com/s...
Details
- Author
- xbtlin
- Repository
- xbtlin/ai-berkshire
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
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