financial-data

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AI Berkshire skill: 财务数据获取与交叉验证规范. Source: skills/financial-data.md.

AI & Automation 14,361 stars 2030 forks Updated today MIT

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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...

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Author
xbtlin
Repository
xbtlin/ai-berkshire
Created
3 months ago
Last Updated
today
Language
Python
License
MIT

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