ClawHub

A股雷达

v1.1.0

A股综合监控与分析工具。当用户询问「A股今天怎么样」「大盘如何」「哪些板块在动」「今日涨跌」「北向资金」「涨停/跌停」「市场情绪」「龙虎榜」「现在适合上仓位吗」「分析A股」「A股复盘」「当前主线是什么」「A股核心企业」「茅台/宁德时代/比亚迪」「SHIBOR」「LPR」「中美10Y利差」「社融/人民币贷款」「A股...

⭐ 0· 75·0 current·0 all-time
byBear Xiong@gold3bear

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for gold3bear/a-stock-radar.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "A股雷达" (gold3bear/a-stock-radar) from ClawHub.
Skill page: https://clawhub.ai/gold3bear/a-stock-radar
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install a-stock-radar

ClawHub CLI

Package manager switcher

npx clawhub@latest install a-stock-radar
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Pending
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name/description (A股监控与分析) matches the code: scripts fetch real‑time quotes, sector rankings, macro snapshots,龙虎榜 and sentiment. The network endpoints used (hq.sinajs.cn, push2.eastmoney.com, akshare-backed sources) are appropriate for the stated functionality.
✓
Instruction Scope
SKILL.md describes routing to the included scripts and the scripts only perform web requests and local data processing; they do not read arbitrary system files, request environment secrets, or post data to unknown third‑party endpoints. All data flows appear limited to fetching market data from known public endpoints or via the akshare library.
ℹ
Install Mechanism
There is no install spec (lowest install risk), but the package contains Python scripts that require third‑party libraries (requests, akshare, pandas, beautifulsoup4, lxml). These requirements are not declared in SKILL.md/registry metadata. Some scripts (e.g., zt_pool.py) will exit if akshare is missing. You should install these Python dependencies from trusted sources or run in an isolated environment.
✓
Credentials
The skill requests no environment variables, no credentials, and no config paths. That is proportionate for a read‑only market data tool. Note: akshare itself may call various upstream data providers depending on implementation—this is expected but worth reviewing if you need strict network controls.
✓
Persistence & Privilege
always is false and the skill does not modify other skills or system configuration. It runs as standalone scripts and spawns subprocesses only to invoke its own modules (dashboard uses subprocess to call local scripts). No elevated privileges are requested.
Assessment
This skill appears to do what it says (fetching A‑share market and macro data). Before installing/running: (1) run it in an isolated Python environment (venv/container) and install required packages from PyPI (requests, akshare, pandas, beautifulsoup4, lxml) so missing dependencies don't cause unexpected behavior; (2) review and, if needed, restrict network egress because the scripts fetch data from public finance sites (hq.sinajs.cn, push2.eastmoney.com) and akshare may query other sources; (3) be aware of rate limits and the legality/terms of scraping the target sites; (4) if you require offline/air‑gapped operation or stricter privacy, do not grant external network access; (5) if you want clearer safety, ask the author/maintainer to provide an explicit requirements.txt and an install/usage section in SKILL.md. Overall there are no hidden endpoints or credential exfiltration signs.

Like a lobster shell, security has layers — review code before you run it.

latestvk9707v3a7m8qcq96k9ywtcn35n85m66h
75downloads
0stars
2versions
Updated 1d ago
v1.1.0
MIT-0
Bear Xiong@gold3bear
latest
Download

A股雷达 (A-Stock Radar)

a-stock-radar 现在是统一的 A 股入口，内部按四层能力组织：

  1. 实时行情监控
  2. 宏观快照与核心企业
  3. 龙虎榜数据
  4. 短线情绪判断
  5. 深度量化分析

1. 实时行情监控

适用问题：

  • A股今天怎么样
  • 哪些板块在动
  • 北向资金如何
  • 涨停跌停情况
  • 某只股票现在多少钱

主要脚本：

  • scripts/index_spot.py：主要指数
  • scripts/sector_ranking.py：板块排行
  • scripts/stock_quote.py：个股行情
  • scripts/zt_pool.py：涨停池/跌停池
  • scripts/dashboard.py：综合看盘入口
  • scripts/macro_snapshot.py：SHIBOR、LPR、中美10Y利差、北向、新增人民币贷款
  • scripts/core_companies.py：A股核心企业篮子

主要数据源：

  • 东方财富：板块/排行
  • 新浪财经：指数与个股实时行情
  • akshare：涨跌停池、北向等扩展数据

2. 宏观快照与核心企业

适用问题：

  • A股宏观数据怎么看
  • SHIBOR/LPR 现在是什么水平
  • 中美10Y利差如何
  • 北向资金和融资需求怎么样
  • 茅台/宁德时代/比亚迪现在怎么样
  • 给我看A股核心企业篮子

主要脚本：

  • scripts/macro_snapshot.py
  • scripts/core_companies.py

覆盖维度：

  • SHIBOR（银行间流动性）
  • LPR（贷款市场报价利率）
  • 中美10Y国债利差
  • 北向资金净流入
  • 新增人民币贷款
  • 贵州茅台、宁德时代、比亚迪、招商银行、工商银行、美的集团、中芯国际、立讯精密

3. 龙虎榜数据

适用问题：

  • 今日龙虎榜有哪些
  • 机构净买入哪些股票
  • 龙虎榜机构和散户买卖方向
  • 哪些股票被机构大额卖出

主要脚本：

  • scripts/lhb_list.py

数据来源：东方财富数据中心（akshare 接口）

输出内容：

  • 机构净买入 Top10（含收盘价、涨跌幅、净买额、换手率、上榜原因）
  • 机构净卖出 Top10（含收盘价、涨跌幅、净卖额、换手率、上榜原因）
  • 数据日期标注（区分上榜日和数据更新日）

4. 短线情绪判断

适用问题：

  • 今天市场情绪怎么样
  • 现在是冰点还是亢奋
  • 适不适合上仓位
  • 短线环境强不强

主要脚本：

  • scripts/sentiment_snapshot.py

核心指标：

  • 涨停家数
  • 跌停家数
  • 炸板率
  • 连板高度

输出内容：

  • 情绪阶段：冰点 / 分歧 / 修复 / 亢奋
  • 仓位建议：空仓 / 轻仓 / 半仓 / 重仓
  • 短线打法建议

5. 深度量化分析

适用问题：

  • 分析A股
  • 做一份A股复盘
  • 当前主线是什么
  • 用量化视角看A股

主要脚本：

  • scripts/quant_analysis.py

分析框架：

  • 宏观流动性
  • 政策主线
  • ETF/龙虎榜/换手结构
  • 情绪与筹码共振

输出内容：

  • 主线判断
  • 择时建议
  • 复盘框架
  • 风险提示

使用原则

  • 只问盘面与行情：优先走 实时行情监控
  • 问仓位与短线环境：优先走 短线情绪判断
  • 问中高层判断与复盘：优先走 深度量化分析

迁移说明

以下旧 skill 已并入本 skill：

  • a-stock-market-sentiment
  • ashare-quant

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