Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add claude-office-skills/claude-office-plugin --skill financial-datagit clone --depth 1 https://github.com/claude-office-skills/claude-office-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/financial-data)<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/financial-data"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/financial-data/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/claude-office-skills/claude-office-plugin/financial-data"><img src="https://agentmods.dev/badge/skills/claude-office-skills/claude-office-plugin/financial-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01167 |
| Opus 5 | $0.00015 | $0.00583 |
| Sonnet 5 | $0.00006 | $0.00233 |
| Haiku 4.5 | $0.00003 | $0.00117 |
Grade A, and why
financial-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
金融数据连接器 v2.0（Data Bridge）
使用内置 dataBridgePull() 函数获取金融数据，无需手写 XHR。
获取综合财务数据
var resp = dataBridgePull("yahoo-finance", "stock_info", { ticker: "AAPL" });
if (!resp || !resp.ok) return "获取数据失败: " + (resp ? resp.error : "网络错误");
var d = resp.data;
// d.summary — 公司概况
// d.keyStats — 估值指标
// d.incomeStatements — 历年损益表
// d.balanceSheets — 历年资产负债表
// d.cashFlows — 历年现金流量表
获取历史价格
var resp = dataBridgePull("yahoo-finance", "stock_price", {
ticker: "AAPL",
range: "1y",
interval: "1d"
});
if (!resp || !resp.ok) return "获取价格数据失败";
var prices = resp.data.prices; // [{date, open, high, low, close, volume}, ...]
数据字段参考
| 路径 | 字段 | 说明 |
|---|---|---|
d.summary |
shortName, sector, industry, currency, currentPrice, totalRevenue, grossProfit, netIncome, operatingCashflow, freeCashflow, totalCash, totalDebt, grossMargins, operatingMargins, profitMargins, ebitdaMargins, revenueGrowth, earningsGrowth, debtToEquity, returnOnEquity, returnOnAssets, fullTimeEmployees | 最新汇总 |
d.keyStats |
beta, trailingPE, forwardPE, priceToBook, enterpriseValue, enterpriseToRevenue, enterpriseToEbitda, pegRatio, sharesOutstanding, bookValue, dividendYield, marketCap | 估值指标 |
d.incomeStatements[i] |
endDate, totalRevenue, costOfRevenue, grossProfit, operatingIncome, netIncome, ebit, ebitda, interestExpense, taxProvision, researchDevelopment, sellingGeneralAdministrative | 损益表 |
d.balanceSheets[i] |
endDate, totalAssets, totalCurrentAssets, totalLiabilitiesNetMinorityInterest, totalCurrentLiabilities, stockholdersEquity, cashAndCashEquivalents, longTermDebt, totalDebt, netDebt, propertyPlantEquipment, inventory, receivables, minorityInterest | 资产负债 |
d.cashFlows[i] |
endDate, operatingCashFlow, capitalExpenditure, freeCashFlow, depreciationAndAmortization, changeInWorkingCapital | 现金流 |
Ticker 格式
| 市场 | 格式 | 示例 |
|---|---|---|
| 美股 | 直接代码 | AAPL, MSFT, TSLA |
| 港股 | 代码.HK | 0700.HK, 9988.HK |
| A股(沪) | 代码.SS | 601899.SS, 600519.SS |
| A股(深) | 代码.SZ | 000858.SZ, 002594.SZ |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 79 lines · 29 tokens per session scan A 851a851284a1
financial-data is a skill published in the GitHub repository claude-office-skills/claude-office-plugin (9 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 1,167 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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