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query
Execute SQL against the WACCY financial dataset to answer specific questions about the data.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Execute SQL against the WACCY financial dataset to answer specific questions about the data.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Show the balance sheet for the modelled periods — assets, liabilities, and equity.
Show the cash flow statement for the modelled periods — operating, investing, and financing activities.
Extract financial data from QuickBooks Online or SEC EDGAR and build the WACCY dataset.
Show the income statement (P&L) for the modelled periods — revenue, expenses, and net income.
Build a three-statement financial model (income statement, balance sheet, cash flow) from the extracted dataset.
Check whether waccy is installed and the MCP server is registered, and fix anything that's missing.
| name | query |
| description | Execute SQL against the WACCY financial dataset to answer specific questions about the data. |
Run arbitrary SQL queries against the financial dataset.
Use the query MCP tool with a SQL statement. The primary table is records with columns:
source — data source (quickbooks, edgar)account_id — standard account identifieraccount_name — display namestatement_kind — income_statement / balance_sheet / cash_flow_statementperiod_label — e.g. 2024, 2024-Q1amount — numeric valuecurrency — e.g. USDExample queries:
-- Total revenue by period
SELECT period_label, SUM(amount) as revenue
FROM records WHERE account_id = 'revenue'
GROUP BY period_label ORDER BY period_label
-- All expense accounts
SELECT account_name, SUM(amount) as total
FROM records WHERE statement_kind = 'income_statement'
AND account_type = 'expense'
GROUP BY account_name ORDER BY total DESC