← 返回 Skills 市场
113
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install a-share-thermometer
功能描述
查询A股市场温度。当用户询问"今日市场温度"、"今日A股温度"、"市场热度"、"大盘温度"或类似问题时触发此技能。支持"上证50", "沪深300", "上证380", "创业板50", "中证500", "上证180", "深证红利", "深证100", "中证1000", "上证红利", "中证100", "...
使用说明 (SKILL.md)
A股市场温度查询
输出格式示例(严格遵守以下格式)
📊 今日A股市场温度报告 (2026-04-20)
指数 PE 温度 状态
上证指数 12.5 25°C 低温
深证成指 18.3 45°C 中温
创业板指 35.2 86°C 高温
注意事项
- 严格按照输出格式示例呈现数据。
- 报告日期修改为当天的东8区日期
- 如果程序报错或无法获取数据,输出相应的错误信息。
- 禁止输出任何与格式无关的文本或解释。
- 禁止输出整体判断、总结或建议。
工作流程
1. 读取配置文件
读取 scripts/config.json 配置文件,获取需要计算市场温度的指数列表。
2. 执行Python3脚本
循环调用 scripts/a_share_therm.py 脚本,为每个配置的指数获取:
- PE(TTM)数据
- 市场温度
脚本接受指数名称作为参数:python3 scripts/a_share_therm.py --index \x3C指数名称>
3. 判断温度状态
将每个指数的温度划分为以下状态:
- 低温 (\x3C 30°C)
- 中温 (30°C - 80°C)
- 高温 (> 80°C)
配置文件说明
config.json 结构:
{
"indices": [
{"code": "000001", "name": "上证指数"},
{"code": "399001", "name": "深证成指"},
{"code": "399006", "name": "创业板指"}
]
}
用户可修改 indices 数组来自定义监控的指数。温度阈值可根据个人偏好调整。
安全使用建议
This skill appears to do what it says: compute index 'temperature' using historical PE percentiles via the akshare library. Before installing or running: 1) ensure you run it in an environment with Python 3 and the required packages (akshare, pandas, python-dateutil) installed from trusted sources (pip from PyPI or your package manager); 2) be aware akshare will make outbound HTTP requests to fetch market data — if you need to restrict network access, run the skill in an isolated environment; 3) the SKILL.md enforces a strict output format and the script prints results to stdout, so if you integrate it with other systems verify the parsing; 4) if you want to be extra cautious, review/upstream the akshare dependency and its data sources to confirm they meet your trust requirements.
功能分析
Type: OpenClaw Skill
Name: a-share-thermometer
Version: 1.0.8
The skill bundle is designed to calculate and report A-share market 'temperature' based on historical price-to-earnings (PE) ratios. The Python script `scripts/a_share_therm.py` uses the legitimate `akshare` financial library to fetch data and performs standard statistical calculations. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection; the instructions in `SKILL.md` are focused on output formatting and logical flow consistent with the stated purpose.
能力评估
Purpose & Capability
The skill is an A‑share market thermometer and includes a Python script that uses akshare/pandas to fetch index PE data and compute percentiles — this is coherent with the stated purpose. Minor mismatch: SKILL.md and registry metadata do not declare that 'python3' or Python packages (akshare, pandas, python-dateutil) are required, although the instructions call 'python3 scripts/a_share_therm.py'.
Instruction Scope
SKILL.md instructs only to read the included scripts/config.json and run the included Python script for specified indices. The script only calls akshare to obtain market data and performs local calculations; it does not read other files, environment variables, or post data to unexpected endpoints.
Install Mechanism
There is no install spec (instruction-only + included code). That keeps risk low for arbitrary downloads, but the skill depends on third‑party Python packages (akshare, pandas, dateutil). The skill does not provide instructions to install those dependencies, so runtime will fail unless the environment already has them or the operator installs them.
Credentials
The skill requests no environment variables, credentials, or config paths. The code does not attempt to read secrets or system configs — its network activity is limited to what akshare performs to fetch market data, which is appropriate for its function.
Persistence & Privilege
The skill is not marked always:true and does not attempt to alter agent or system configurations. It has normal, non‑persistent behavior.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install a-share-thermometer - 安装完成后,直接呼叫该 Skill 的名称或使用
/a-share-thermometer触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.8
a-share-thermometer 1.0.8
- Updated SKILL.md with clearer trigger instructions and improved sample output formatting.
- Added stricter requirements for output: fixed format, date in East 8 timezone, and no explanatory text.
- Detailed workflow steps for script and config usage.
- Enhanced instructions for status determination based on temperature.
- Clarified configuration file structure and customization options.
元数据
常见问题
A股指数温度计 是什么?
查询A股市场温度。当用户询问"今日市场温度"、"今日A股温度"、"市场热度"、"大盘温度"或类似问题时触发此技能。支持"上证50", "沪深300", "上证380", "创业板50", "中证500", "上证180", "深证红利", "深证100", "中证1000", "上证红利", "中证100", "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 113 次。
如何安装 A股指数温度计?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install a-share-thermometer」即可一键安装,无需额外配置。
A股指数温度计 是免费的吗?
是的,A股指数温度计 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
A股指数温度计 支持哪些平台?
A股指数温度计 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 A股指数温度计?
由 Yujie Pan(@pandasky)开发并维护,当前版本 v1.0.8。
推荐 Skills