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在 OpenClaw 中安装
/install china-stock-smallcap
功能描述
小市值选股(纯 OpenClaw 公开源版):基于东财公开行情做小市值近似筛选。
使用说明 (SKILL.md)
A 股小市值选股(公开源)
工具
exec:运行{baseDir}/scripts/a_share_public_selector.pyweb_search、web_fetch:补充资讯
调用
python3 "{baseDir}/scripts/a_share_public_selector.py" smallcap 10
返回 JSON 字段:ok、strategy_type、stocks、message。
说明
- 本技能不依赖
WENCAI_COOKIE、不依赖 python-tools。 - 该策略是公开源近似版本,不等价问财公式。
- 输出仅供参考,不构成投资建议。\r
安全使用建议
This skill appears coherent and implements what it claims: a public-source small-cap stock selector that queries Eastmoney and returns JSON. Before installing, note: (1) the SKILL.md references a scripts/ path but the provided file is at the package root — you may need to correct the path or move the file; (2) the script makes outbound HTTP requests to push2.eastmoney.com (normal for market data) — confirm you are comfortable with that network access; (3) no credentials or sensitive local files are accessed by the skill, and outputs are explicitly labeled as not investment advice. If you need higher assurance, inspect the included a_share_public_selector.py yourself or run it in an isolated environment. If the skill ever requests tokens, env secrets, or downloads code from external URLs, treat that as a red flag and re-evaluate.
功能分析
Type: OpenClaw Skill
Name: china-stock-smallcap
Version: 2.0.0
The skill bundle is a legitimate tool for filtering A-share stocks based on public data from Eastmoney. The Python script (a_share_public_selector.py) uses standard libraries to fetch financial data from a known endpoint (push2.eastmoney.com) and implements basic logic for small-cap and momentum strategies without any evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description, SKILL.md, and the included Python script all implement a public-source small-cap stock selector that queries Eastmoney's public API. Requested resources (python) and no credentials are proportionate to the claimed functionality.
Instruction Scope
SKILL.md instructs the agent to run a script and to use web_search/web_fetch for supplemental info — these are within the skill's purpose. Minor inconsistency: SKILL.md references {baseDir}/scripts/a_share_public_selector.py while the package contains a_share_public_selector.py at the top level; this may cause runtime failures or require path adjustment.
Install Mechanism
No install spec and only an instruction-only runtime plus a single Python file — nothing is downloaded or written to disk at install time. This is low-risk and proportional.
Credentials
The skill does not request environment variables, credentials, or config paths. It only performs outbound HTTP requests to Eastmoney, which is expected for market-data retrieval.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence or modify other skills. Model invocation is allowed (platform default), which is normal for skills.
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 china-stock-smallcap - 安装完成后,直接呼叫该 Skill 的名称或使用
/china-stock-smallcap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
v2.0.0
Major update: OpenClaw-based, fully open-source implementation for China small-cap stock selection.
- Now uses public Eastmoney data for small-cap screening.
- Fully independent: no reliance on WENCAI_COOKIE or python-tools.
- Provides a lightweight command-line interface for retrieving small-cap lists.
- JSON output includes strategy type, stocks, status, and message.
- The approach is an open-source approximation, not identical to proprietary WenCai formulas.
- For information only; not investment advice.
元数据
常见问题
China Stock Smallcap 是什么?
小市值选股(纯 OpenClaw 公开源版):基于东财公开行情做小市值近似筛选。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。
如何安装 China Stock Smallcap?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install china-stock-smallcap」即可一键安装,无需额外配置。
China Stock Smallcap 是免费的吗?
是的,China Stock Smallcap 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
China Stock Smallcap 支持哪些平台?
China Stock Smallcap 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 China Stock Smallcap?
由 luyao-inc(@luyao-inc)开发并维护,当前版本 v2.0.0。
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