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bill-lib

CN Stock Analysis Pro

by bill-lib · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install a-stock-analysis-pro
Description
生成中文A股深度策略研报(HTML/PDF格式)。 当用户提到任何A股代码(6位数字)、股票名称、想分析某只股票、或要求生成研报/策略报告时,立即使用此技能。 适用场景:个股深度分析、ST股风险研判、热点题材追踪、戴帽摘帽分析、行业龙头估值分析、困境反转研判。 输出:专业排版研报,包含封面、核心观点、价格结构、数...
README (SKILL.md)

A股深度策略研报

执行流程

Step 0: 前置判断 — 股票类型识别,决定执行哪些数据源
Step 1: 数据采集 — 按 references/data-sources.md 执行数据源 A~H
Step 2: 数据整理 — 填入下方标准数据表
Step 3: 六维分析 — 按 references/analysis-prompts.md 逐章节输出
Step 4: 报告输出 — 按 references/report-template.md 生成 HTML 文件
Step 5: 质量检查 — 按 references/report-template.md 中质量清单核验

超时处理:单次 fetch/search 超过30秒无响应,立即切换备用搜索词。数据源A+C可并发发起。

Step 0:前置判断

根据股票类型决定后续路径:

类型 判断条件 额外要求 情景概率 A/B/C
ST股 简称以"ST"或"*ST"开头 必须执行数据源F,涨跌幅标注±5% 15/55/30
强势连板股 近7个交易日内有涨停 重点执行数据源B龙虎榜+D4澄清公告 20/50/30
底部低估型 52周定位<25% 重点执行数据源G+股息率分析 25/50/25
概念炒作高位型 52周定位>80% 15/50/35
普通股 以上均不符合 按默认路径执行 20/55/25

Step 2:标准数据整理表

采集完成后先填入此表(内部中间产物,不输出到报告):

================== 数据整理表 ==================
【基础行情】报告日期:______
代码:______    简称:______
今日收盘:______    涨跌幅:______%    昨收:______
开盘:______    今日区间:______ ~ ______
52周低:______    52周高:______
52周定位:______ %    量比:______    换手率:______%
市值:______亿元    总股本:______亿股
上市日期:______    发行价:______    较发行价:______%

【估值指标】
PE-TTM:______    PB:______    EV/EBITDA:______
EPS:______    每股净资产:______    股息率:______%
ROE:______%    ROA:______%    毛利率:______%
技术信号(日线):______    RSI(14):______

【最新财报】报告期:______
营收:______亿元    同比:______%
归母净利润:______亿元    同比:______%
扣非净利润:______亿元    同比:______%
非经常性损益:______万元    单季度净利润:______亿元
资产负债率:______%    财务费用:______万元

【重大事件(近3个月)】【大股东/股权】【行业景气】【ST状态】
==========================================

参考文件索引

需要什么 参考文件
数据源A~H的完整采集规范、URL模板、提取字段 references/data-sources.md
六大章节的 LLM 分析提示词模板 references/analysis-prompts.md
HTML 报告模板 + 质量检查清单 references/report-template.md
Usage Guidance
This skill is internally consistent and appears to do what it claims: collect public market data, run analysis prompts, and generate an HTML/PDF research report. Before installing, confirm your agent environment has safe, permitted outbound web/browse access (it must fetch from the listed finance sites) and be aware that scraping can break if site layouts change. Because no credentials are requested, there is low direct exfiltration risk — however: (1) validate numeric outputs against a trusted source when making decisions, (2) respect data providers' terms of use, (3) run a few test analyses on well‑known tickers to verify the scraping/extraction quality, and (4) do not treat the generated reports as financial advice — always have a human review before trading.
Capability Analysis
Type: OpenClaw Skill Name: cn-stock-analysis-pro Version: 1.0.0 The skill bundle is a legitimate tool designed to generate Chinese A-share stock analysis reports. It follows a transparent process of fetching financial data from reputable sources (e.g., EastMoney, Sina, Tencent) and uses structured templates to produce HTML-based reports. There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; all instructions are strictly aligned with the stated purpose of financial analysis.
Capability Assessment
Purpose & Capability
Name/description match the behavior: SKILL.md and reference files describe stepwise data collection from listed finance sites, analysis prompts, and an HTML report template — all expected for an A‑share report generator. No unrelated env vars, binaries, or install steps are requested.
Instruction Scope
Instructions require scraping/ fetching realtime data from a list of public finance websites (Eastmoney, Sina, Tencent, 10jqka, stockstar, etc.) and allow 'LLM 自主判断搜索' fallbacks. This is consistent with the stated purpose, but it relies on the agent having safe network/browsing capabilities and on site structure remaining stable; the skill also instructs multiple precise data‑extraction rules so errors in scraping could silently produce incorrect values.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes disk persistence and arbitrary code execution risk. The skill assumes the agent/environment can perform web fetch/search operations, which is an environment capability rather than an install behavior.
Credentials
The skill declares no required environment variables, credentials, or config paths. Its external data needs are limited to public web sources named in references, which is proportionate to its purpose. Note: it implicitly requires outbound network/browsing access to function.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/system‑wide privileges or modify other skills. No indicators of attempting to persist credentials or alter agent configuration beyond generating a local HTML report.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install a-stock-analysis-pro
  3. After installation, invoke the skill by name or use /a-stock-analysis-pro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
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Metadata
Slug a-stock-analysis-pro
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is CN Stock Analysis Pro?

生成中文A股深度策略研报(HTML/PDF格式)。 当用户提到任何A股代码(6位数字)、股票名称、想分析某只股票、或要求生成研报/策略报告时,立即使用此技能。 适用场景:个股深度分析、ST股风险研判、热点题材追踪、戴帽摘帽分析、行业龙头估值分析、困境反转研判。 输出:专业排版研报,包含封面、核心观点、价格结构、数... It is an AI Agent Skill for Claude Code / OpenClaw, with 201 downloads so far.

How do I install CN Stock Analysis Pro?

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

Is CN Stock Analysis Pro free?

Yes, CN Stock Analysis Pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does CN Stock Analysis Pro support?

CN Stock Analysis Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created CN Stock Analysis Pro?

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

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