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 spy007111/Vibe-Research --skill global-stock-datagit clone --depth 1 https://github.com/spy007111/Vibe-ResearchWrote 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/spy007111/vibe-research/global-stock-data)<a href="https://agentmods.dev/skills/spy007111/vibe-research/global-stock-data"><img src="https://agentmods.dev/badge/skills/spy007111/vibe-research/global-stock-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/spy007111/vibe-research/global-stock-data"><img src="https://agentmods.dev/badge/skills/spy007111/vibe-research/global-stock-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 | $0.00183 | $0.15782 |
| Opus 5 | $0.00092 | $0.07891 |
| Sonnet 5 | $0.00037 | $0.03156 |
| Haiku 4.5 | $0.00018 | $0.01578 |
Grade A, and why
global-stock-data scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
r = requests.get(DATACENTER_URL, params=params, headers={"User-Agent": UA}, timeout=15) How it starts
The opening of the file, as written. The whole thing — 1,438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📦 项目主页:https://github.com/simonlin1212/global-stock-data — 更新、反馈、支持作者
作者:Simon 林 · 抖音「Simon林」· 公众号「硅基世纪」
美股港股全栈数据工具包 V1.0.1
八层数据架构,18 个端点,5 个数据源,全部零鉴权,实测可用(2026-05-20 验证)。
使用方式: 将本文件放入 ~/.claude/skills/global-stock-data/SKILL.md,Claude Code 会自动识别并在美股/港股相关对话中激活。
行情层(实时/延时)
├── 新浪财经 → 美股 gb_XXXX 36字段 / 港股 rt_hkXXXXX 25字段
├── 腾讯财经 → 美股 usXXXX 71字段 / 港股 r_hkXXXXX 78字段
└── 东财 push2 → 美股/港股 secid 实时行情,含中文名/涨跌幅/换手率
K线层(日/周/月/分钟)
├── 新浪 → 美股日K (回溯至1984年)
└── Yahoo chart → 美股+港股 (v8 API, 零crumb)
技术指标层(纯计算,零额外依赖)
└── MA/EMA + MACD + RSI + KDJ + 布林带 基于K线OHLCV,纯Python计算
基本面层
├── 东财 datacenter → 美股/港股三表(资产负债+利润+现金流) + GMAININDICATOR(关键指标)
├── Yahoo crumb → 23个模块(财务数据+关键指标+分析师+机构持仓)
└── SEC EDGAR XBRL → 美股503个GAAP指标 (仅美股)
资金面层
└── 东财 push2his → 日级资金流(主力/大单/中单/小单) 美股+港股
期权层(仅美股)
└── Yahoo crumb → 期权链(calls+puts, 所有到期日) 仅美股(港股期权不在Yahoo覆盖范围)
SEC Filing层(仅美股)
├── EDGAR submissions → 10-K/10-Q/8-K 完整Filing列表
└── EDGAR XBRL → 结构化财务指标(营收/净利/EPS等)
工具层
├── 东财 search → 股票搜索(中英文, 含市场代码映射)
├── 东财 push2 → 全市场股票列表(涨跌幅/成交量排名, 美股5925只+港股18000+只)
├── Yahoo search → 新闻资讯(按股票代码)
└── SEC CIK mapping → ticker↔CIK 映射 (仅美股)
When to Activate
- 用户要查美股/港股行情(价格/涨跌幅/成交量)
- 用户要拉 K 线(日线/周线/月线/分钟线)
- 用户要看财报(资产负债表/利润表/现金流量表)
- 用户要看关键财务指标(PE/PB/ROE/利润率/目标价)
- 用户要看分析师预期(EPS预测/评级/目标价区间)
- 用户要看机构持仓(前十大机构/持股比例)
- 用户要看资金流向(主力/大单/中单/小单净流入)
- 用户要查期权链(calls/puts/到期日/Greeks)
- 用户要查 SEC Filing(10-K/10-Q/8-K/年报/季报)
- 用户要做美股财报量化分析(从 XBRL 拉多年营收/净利/EPS 趋势)
- 用户要搜索股票(中英文均可)
- 用户要看美股/港股新闻
- 用户要看全市场涨跌幅排名(当日涨幅/跌幅最大的股票)
- 用户要做全市场筛选(遍历美股/港股列表做初筛)
- 用户要看关键财务指标概览(营收/净利/EPS/ROE/ROA/资产负债率 中文版)
- 用户要看技术指标(MACD/RSI/KDJ/布林带/均线)
- 用户要判断金叉死叉/超买超卖/变盘信号
- 关键词:美股、港股、AAPL、苹果、腾讯、00700、TSLA、特斯拉、BABA、阿里巴巴、行情、K线、财报、PE、PB、ROE、分析师、目标价、期权、call、put、SEC、10-K、年报、季报、资金流、主力、机构持仓、新闻、涨幅排名、全市场、筛选、关键指标、MACD、RSI、KDJ、布林带、均线、金叉、死叉、超买、超卖、技术分析
Prerequisites
pip install requests
| 依赖 | 版本要求 | 用途 |
|---|---|---|
| requests | any | 所有 HTTP API 直连 |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 1,438 lines · 183 tokens per session scan A 39005851f179
global-stock-data is a skill published in the GitHub repository spy007111/Vibe-Research (5 stars, last pushed 1mo ago), licensed MIT. It adds 183 tokens to every session and 15,782 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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