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haohanyang92

A股基本面筛选

by haohanyang92 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
3023
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Install in OpenClaw
/install a-stock-fundamental-screening
Description
用财务指标快速排除垃圾股,找到有基本面支撑的标的。用于A股基本面选股。
README (SKILL.md)

基本面筛选 Skill

核心能力

用财务指标快速排除垃圾股,找到有基本面支撑的标的。

筛选规则

成长股筛选

  • 连续3年营收增速 ≥ 30%
  • 净利润增速 ≥ 25%
  • ROE ≥ 15%

价值股筛选

  • 市盈率(PE)< 行业均值
  • 股息率 ≥ 3%
  • 资产负债率 ≤ 50%

避雷规则(直接排除)

  • ST股
  • 近1年业绩亏损超50%
  • 大股东减持比例 ≥ 5%

短线交易基本面检查

即使是短线题材股,也要检查:

  1. 是否有减持
  2. 是否亏损
  3. 是否有黑天鹅风险

避免踩中"黑天鹅"。

数据获取

调用 akshare-stock 获取:

  • 财务报表数据
  • 股东增减持数据
  • 市盈率、股息率等估值数据

触发场景

  • "这个股票基本面好吗"
  • "能买吗会st吗"
  • "有什么风险"
  • "财务数据怎么样"
Usage Guidance
This skill appears coherent, but take these practical precautions before installing: 1) Confirm the runtime has the akshare package (or add an explicit install) — the SKILL.md expects it but doesn't install it. 2) akshare fetches market data over the network; verify data sources and legal/usage constraints for your environment. 3) Treat outputs as decision-support only—backtest the filters on historical data before trading real money. 4) Because the skill is from an unknown source, consider testing it in a sandboxed agent instance and review any network activity before enabling in production. 5) No credentials are requested, so there is no obvious secret-exfiltration risk, but verify your agent's network permissions if you want to restrict external requests.
Capability Analysis
Type: OpenClaw Skill Name: a-stock-fundamental-screening Version: 1.0.0 The skill bundle provides standard instructions for an AI agent to perform fundamental stock screening for the A-share market using financial metrics like ROE, PE, and revenue growth. It references the legitimate 'akshare-stock' library for data retrieval and contains no evidence of malicious intent, data exfiltration, or harmful execution logic in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name, description and runtime instructions all describe A‑share fundamental screening and the filtering rules match that purpose (growth/ value/avoidance rules).
Instruction Scope
SKILL.md instructs the agent to call 'akshare-stock' for financial, shareholder and valuation data — scope is appropriate for the task but the skill does not declare how akshare is provided or any fallback if it is absent. Instructions do not ask for unrelated files, secrets, or system access.
Install Mechanism
There is no install spec (instruction-only). This keeps disk/write risk low, but the skill implicitly depends on the akshare library being available in runtime; that dependency is not declared or installed by the skill.
Credentials
The skill declares no environment variables, credentials, or config paths. The absence of secret requests is proportional to its stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated persistence or modify other skills/config. Autonomous invocation is allowed (platform default) but not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install a-stock-fundamental-screening
  3. After installation, invoke the skill by name or use /a-stock-fundamental-screening
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — quickly screen A-shares by fundamental indicators to filter out poor-quality stocks. - Supports both growth and value stock selection criteria based on revenue/profit growth, ROE, PE ratio, dividend yield, and leverage. - Includes "risk exclusion" rules to avoid ST stocks, major losses, and high shareholder reductions. - Provides a basic check for short-term trading to detect loss, reduction, or black swan risk. - Integrates akshare-stock for acquiring financial, shareholder, and valuation data. - Covers common usage scenarios such as checking stock fundamentals, risk warnings, and financial health.
Metadata
Slug a-stock-fundamental-screening
Version 1.0.0
License MIT-0
All-time Installs 17
Active Installs 17
Total Versions 1
Frequently Asked Questions

What is A股基本面筛选?

用财务指标快速排除垃圾股,找到有基本面支撑的标的。用于A股基本面选股。 It is an AI Agent Skill for Claude Code / OpenClaw, with 3023 downloads so far.

How do I install A股基本面筛选?

Run "/install a-stock-fundamental-screening" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is A股基本面筛选 free?

Yes, A股基本面筛选 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does A股基本面筛选 support?

A股基本面筛选 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created A股基本面筛选?

It is built and maintained by haohanyang92 (@haohanyang92); the current version is v1.0.0.

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