A Stock Info

基于qgdata API的A股分钟级数据查询服务。提供实时股价、分钟K线、分时数据等专业数据。

Security Scan

The skill's code, runtime instructions, and required environment variables are consistent with a qgdata-based A‑share minute-data query tool; nothing in the package indicates covert exfiltration or unrelated privileges.

Purpose & Capability

Name/description (A股分钟级数据 via qgdata) matches required binary (python3), required env var (QGDATA_TOKEN), and the provided script which calls qgdata APIs. Minor metadata mismatch: SKILL metadata lists version 1.2.0 while _meta.json contains 1.1.0 — likely a packaging/versioning oversight but not a functional security issue.

Instruction Scope

SKILL.md instructs installing qgdata and pandas, setting QGDATA_TOKEN (env or ~/.openclaw/.env), and running the included Python script. The script only reads QGDATA_TOKEN and the .env path shown in docs; it does not access other system files, credentials, or external endpoints beyond the qgdata client library.

Install Mechanism

No automated install spec; user-run pip install qgdata pandas is required per docs. Installing third‑party packages from PyPI is expected for this task but carries usual supply-chain risk — verify the qgdata package provenance and consider using a virtualenv or pinned package versions.

Credentials

Only a single API token (QGDATA_TOKEN) is requested, which is appropriate for a data-provider client. The script reads that token from env or ~/.openclaw/.env as documented; no unrelated secrets or config paths are requested.

Persistence & Privilege

Skill is not always-enabled and does not request persistent system privileges. It does not modify other skills or system-wide configs. Storing a token in ~/.openclaw/.env is a local persistence choice documented by the skill (user-visible).

Assessment

This skill appears to do exactly what it claims: call qgdata to fetch minute-level A-share data. Before installing and using it: 1) Keep QGDATA_TOKEN secret — do not commit it to repos; storing it in ~/.openclaw/.env is plaintext so restrict file permissions. 2) Install qgdata and pandas in a virtualenv, and verify the qgdata package source (PyPI project page or vendor docs) to reduce supply-chain risk. 3) Note the small metadata/version mismatch in the package and that the sample token in SKILL.md is an example — replace with your real token. 4) Be mindful of the API provider's rate limits and that network calls go to qgdata endpoints (the included script itself does not exfiltrate data elsewhere).

A股资讯数据查询 Pro

基于qgdata API的专业A股分钟级数据查询服务，提供实时股价、分钟K线、分时数据等全方位A股市场数据。

核心功能

• 📊 分钟级K线: 1分钟、5分钟、15分钟、30分钟、60分钟K线数据
• 💰 实时股价: 最新成交价格和成交量
• 📈 分时数据: 逐笔成交明细和分时走势
• 🏢 基本面数据: 公司信息、财务指标
• 📅 交易日历: 交易日判断和节假日信息

配置要求

API Key配置

# 环境变量
export QGDATA_TOKEN="Kj9mN2xP5qR8vL3tY7wZ1aB4cD6eF8gH9nX4pL2qR7sT5vY8wZ1aB3cD6eF0gH2i"

# 或.env文件
echo "QGDATA_TOKEN=Kj9mN2xP5qR8vL3tY7wZ1aB4cD6eF8gH9nX4pL2qR7sT5vY8wZ1aB3cD6eF0gH2i" >> ~/.openclaw/.env

依赖安装

pip install qgdata pandas

使用方法

分钟K线查询

# 5分钟K线数据
python3 {baseDir}/scripts/astock_query.py --symbol 000001.SZ --freq 5min --start-date 20260227 --limit 100

# 1分钟K线数据
python3 {baseDir}/scripts/astock_query.py --symbol 000002.SZ --freq 1min --start-date 20260227 --limit 50

# 60分钟K线数据
python3 {baseDir}/scripts/astock_query.py --symbol 600000.SH --freq 60min --start-date 20260220 --limit 20

实时数据查询

# 最新股价
python3 {baseDir}/scripts/astock_query.py --symbol 000001.SZ --realtime

# 成交明细
python3 {baseDir}/scripts/astock_query.py --symbol 000001.SZ --trades --limit 10

高级查询

# 指定字段查询
python3 {baseDir}/scripts/astock_query.py --symbol 000001.SZ --freq 5min --fields "ts_code,trade_time,open,close,vol" --start-date 20260227

# 按时间排序
python3 {baseDir}/scripts/astock_query.py --symbol 000001.SZ --freq 5min --order-by trade_time --sort asc --start-date 20260227

输出格式

JSON格式 (默认)

{
  "symbol": "000001.SZ",
  "freq": "5min",
  "data": [
    {
      "ts_code": "000001.SZ",
      "trade_time": "2026-02-27 09:30:00",
      "open": "10.8600",
      "close": "10.8500",
      "high": "10.8600",
      "low": "10.8500",
      "vol": "286200.0000",
      "amount": "3107687.0000"
    }
  ],
  "total": 49,
  "provider": "qgdata"
}

股票代码格式

• 深圳股票: 000001.SZ (平安银行)
• 上海股票: 600000.SH (浦发银行)
• 创业板: 300001.SZ (特锐德)
• 科创板: 688001.SH (华兴源创)

数据特点

• 实时性: 分钟级数据更新
• 准确性: 来自交易所的官方数据
• 完整性: 包含所有A股品种
• 高效性: 优化的查询性能

适用场景

• 量化交易: 分钟级策略开发和回测
• 日内交易: 实时监控和决策支持
• 技术分析: 基于分钟K线的指标计算
• 程序化交易: 自动化交易策略实现

API限制

• 频率限制: 请控制查询频率，避免过度调用
• 数据范围: 支持最近一定时期的历史数据
• 字段限制: 每次查询可指定返回字段

版本信息

• 当前版本: 1.2.0 (修复版)
• API版本: qgdata 0.1.2
• 数据更新: 实时

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专业A股分钟级数据查询服务 - 驱动量化交易的强大工具 ⏱️📊🚀