Installable skillApache-2.0

A\u80A1\u4E2A\u80A1\u6DF1\u5EA6\u7814\u7A76/\u9996\u6B21\u8986\u76D6\u62A5\u544A

A股个股深度研究/首次覆盖报告/个股全面研究分析。当用户说"深度研究"、"深度分析"、"全面分析XX"、"首次覆盖"、"initiation"、"initiating coverage"、"帮我研究一下XX"、"XX值不值得买"、"给我出一份XX的研究报告"、"个股深度"、"深度报告"、"投资价值分析"时触发。MUST USE when user asks for deep research, initiating coverage, comprehensive stock analysis, or a full research report on a specific stock. ...

BY aifinlabUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: a-share-initiation-edb5d715c12a
description: A股个股深度研究/首次覆盖报告/个股全面研究分析。当用户说"深度研究"、"深度分析"、"全面分析XX"、"首次覆盖"、"initiation"、"initiating coverage"、"帮我研究一下XX"、"XX值不值得买"、"给我出一份XX的研究报告"、"个股深度"、"深度报告"、"投资价值分析"时触发。MUST USE when user asks for deep research, initiating coverage, comprehensive stock analysis, or a full research report on a specific stock. 整合公司概况、行业地位、财务分析、估值(DCF+可比)、投资论点,生成全面的个股研究报告。通过 cn-stock-data 获取全量数据,结合 web 搜索获取公司信息、行业背景、分析师观点。支持券商深度报告风格(formal,15-30页)和个人研究笔记风格(brief,3-5页)。
---

# A\u80A1\u4E2A\u80A1\u6DF1\u5EA6\u7814\u7A76/\u9996\u6B21\u8986\u76D6\u62A5\u544A

## \u6570\u636E\u6E90

```bash
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"

# \u5B8C\u6574\u8D22\u52A1\u6307\u6807\uFF08\u591A\u671F\uFF09
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]

# \u5B9E\u65F6\u884C\u60C5
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]

# \u8FD1 2 \u5E74\u65E5\u7EBF
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [2\u5E74\u524D\u65E5\u671F]

# \u8D44\u91D1\u6D41\u5411
python "$SCRIPTS/cn_stock_data.py" fund_flow --code [CODE] --days 30

# \u5317\u5411\u8D44\u91D1
python "$SCRIPTS/cn_stock_data.py" north_flow

# \u53EF\u6BD4\u516C\u53F8\u884C\u60C5
python "$SCRIPTS/cn_stock_data.py" quote --code [COMP1],[COMP2],[COMP3]

# \u53EF\u6BD4\u516C\u53F8\u8D22\u52A1
python "$SCRIPTS/cn_stock_data.py" finance --code [COMP]
```

\u8865\u5145 web \u641C\u7D22\uFF1A\u516C\u53F8\u5B98\u7F51\u3001\u5E74\u62A5\u6458\u8981\u3001\u7BA1\u7406\u5C42\u4ECB\u7ECD\u3001\u884C\u4E1A\u62A5\u544A\u3001\u5206\u6790\u5E08\u89C2\u70B9\u3001\u8FD1\u671F\u516C\u544A\u3002

## Workflow (7 phases)

### Phase 1: \u516C\u53F8\u6982\u51B5

1. Web \u641C\u7D22\uFF1A\u516C\u53F8\u4E3B\u8425\u4E1A\u52A1\u3001\u53D1\u5C55\u5386\u7A0B\u3001\u80A1\u6743\u7ED3\u6784\u3001\u7BA1\u7406\u5C42\u80CC\u666F
2. \u4E1A\u52A1\u62C6\u5206\uFF1A\u5404\u4E1A\u52A1\u677F\u5757\u6536\u5165\u5360\u6BD4\u3001\u589E\u901F
3. \u884C\u4E1A\u5B9A\u4F4D\uFF1A\u6240\u5C5E\u884C\u4E1A\u3001\u5E02\u573A\u5730\u4F4D\u3001\u5E02\u5360\u7387
4. \u6838\u5FC3\u7ADE\u4E89\u529B\uFF1A\u54C1\u724C/\u6280\u672F/\u6E20\u9053/\u89C4\u6A21/\u724C\u7167\u7B49\u58C1\u5792

### Phase 2: \u884C\u4E1A\u5206\u6790\uFF08\u7CBE\u7B80\u7248 a-share-sector\uFF09

1. \u884C\u4E1A\u89C4\u6A21\u4E0E\u589E\u901F
2. \u7ADE\u4E89\u683C\u5C40\uFF08CR3/CR5\uFF09
3. \u4EA7\u4E1A\u94FE\u4F4D\u7F6E
4. \u884C\u4E1A\u9A71\u52A8\u529B\u4E0E\u98CE\u9669
5. \u653F\u7B56\u73AF\u5883

### Phase 3: \u8D22\u52A1\u6DF1\u5EA6\u5206\u6790\uFF08\u590D\u7528 a-share-earnings-analysis \u6846\u67B6\uFF09

1. \u6536\u5165\u5206\u6790\uFF1A\u603B\u91CF+\u7ED3\u6784+\u8D8B\u52BF\uFF08\u8FD1 8-12 \u4E2A\u5B63\u5EA6\uFF09
2. \u76C8\u5229\u80FD\u529B\uFF1A\u6BDB\u5229\u7387/\u51C0\u5229\u7387/ROE \u8D8B\u52BF\u53CA\u9A71\u52A8\u56E0\u7D20
3. \u73B0\u91D1\u6D41\u8D28\u91CF\uFF1A\u7ECF\u8425\u73B0\u91D1\u6D41/\u51C0\u5229\u6DA6\u3001\u81EA\u7531\u73B0\u91D1\u6D41
4. \u8D44\u4EA7\u8D1F\u503A\u8868\uFF1A\u8D1F\u503A\u7387\u3001\u8425\u8FD0\u8D44\u91D1\u6548\u7387\u3001\u8D44\u4EA7\u8D28\u91CF
5. \u6770\u90A6\u5206\u6790\uFF1AROE = \u51C0\u5229\u7387 \u00D7 \u603B\u8D44\u4EA7\u5468\u8F6C\u7387 \u00D7 \u6743\u76CA\u4E58\u6570

### Phase 4: \u4F30\u503C\u5206\u6790\uFF08\u6574\u5408 DCF + Comps\uFF09

1. **\u53EF\u6BD4\u516C\u53F8\u4F30\u503C**\uFF08\u590D\u7528 a-share-comps \u6846\u67B6\uFF09
   - \u9009\u53D6 5-8 \u5BB6\u53EF\u6BD4\u516C\u53F8
   - PE/PB/PS/EV-EBITDA \u5BF9\u6BD4
   - \u6807\u7684\u6240\u5904\u767E\u5206\u4F4D
2. **DCF \u4F30\u503C**\uFF08\u7B80\u5316\u7248 a-share-dcf\uFF09
   - 5 \u5E74 FCFF \u9884\u6D4B
   - WACC \u8BA1\u7B97
   - \u7EC8\u503C + \u654F\u611F\u6027\u5206\u6790
3. **\u4F30\u503C\u7EFC\u5408\u5224\u65AD**
   - \u4E24\u79CD\u65B9\u6CD5\u7684\u4F30\u503C\u533A\u95F4
   - \u5408\u7406\u4EF7\u503C\u4E2D\u67A2

### Phase 5: \u6295\u8D44\u8BBA\u70B9\uFF08\u590D\u7528 a-share-thesis \u6846\u67B6\uFF09

1. \u6838\u5FC3\u6295\u8D44\u903B\u8F91\uFF081-2 \u53E5\uFF09
2. \u770B\u591A\u8BBA\u636E\uFF083-5 \u6761\uFF09
3. \u5173\u952E\u98CE\u9669\uFF083-5 \u6761\uFF09
4. \u50AC\u5316\u5242\uFF08\u672A\u6765 6-12 \u6708\uFF09

### Phase 6: \u62A5\u544A\u751F\u6210

\u6839\u636E\u7528\u6237\u6307\u5B9A\u7684\u98CE\u683C\uFF08formal \u6216 brief\uFF09\u751F\u6210\u62A5\u544A\u3002\u9ED8\u8BA4\u4E3A formal\u3002
\u53C2\u7167 `references/report-structure.md` \u4E2D\u7684\u6A21\u677F\u7ED3\u6784\u3002

### Phase 7: QC \u9A8C\u8BC1

- \u6570\u636E\u4E00\u81F4\u6027\u68C0\u67E5\uFF08\u62A5\u544A\u4E2D\u7684\u6570\u5B57\u662F\u5426\u4E0E\u539F\u59CB\u6570\u636E\u4E00\u81F4\uFF09
- \u903B\u8F91\u4E00\u81F4\u6027\u68C0\u67E5\uFF08\u8BBA\u70B9\u662F\u5426\u6709\u6570\u636E\u652F\u6491\u3001\u4F30\u503C\u7ED3\u8BBA\u662F\u5426\u4E0E\u5206\u6790\u4E00\u81F4\uFF09
- \u5B8C\u6574\u6027\u68C0\u67E5\uFF08\u5404\u7AE0\u8282\u662F\u5426\u9F50\u5168\uFF09

## \u98CE\u683C\u8BF4\u660E

| \u7EF4\u5EA6 | formal\uFF08\u5238\u5546\u6DF1\u5EA6\u62A5\u544A\uFF09 | brief\uFF08\u4E2A\u4EBA\u7814\u7A76\u7B14\u8BB0\uFF09 |
|------|---------------------|---------------------|
| \u7BC7\u5E45 | 15-30 \u9875 | 3-5 \u9875 |
| \u516C\u53F8\u6982\u51B5 | \u5B8C\u6574\uFF08\u5386\u53F2+\u80A1\u6743+\u7BA1\u7406\u5C42+\u4E1A\u52A1\u62C6\u5206\uFF09 | \u7CBE\u7B80\uFF081 \u6BB5\u4E3B\u8425+\u7ADE\u4E89\u529B\uFF09 |
| \u884C\u4E1A\u5206\u6790 | 3-5 \u9875\u72EC\u7ACB\u7AE0\u8282 | 0.5 \u9875\u884C\u4E1A\u901F\u89C8 |
| \u8D22\u52A1\u5206\u6790 | \u5B8C\u6574\uFF088-12 \u5B63\u5EA6\u8D8B\u52BF+\u6770\u90A6\u5206\u6790\uFF09 | \u6838\u5FC3\u6307\u6807\u8868+1\u6BB5\u5206\u6790 |
| \u4F30\u503C | DCF + Comps \u53CC\u65B9\u6CD5 | \u4E3B\u7528 Comps\uFF0C\u7B80\u5316 DCF |
| \u6295\u8D44\u8BBA\u70B9 | \u5B8C\u6574\u7ED3\u6784\u5316\u8BBA\u70B9 | 3 \u6761\u770B\u591A+3 \u6761\u98CE\u9669 |
| \u56FE\u8868 | \u6570\u636E\u8868+\u8D8B\u52BF\u63CF\u8FF0 | \u6838\u5FC3\u6570\u636E\u8868 |
| \u514D\u8D23\u58F0\u660E | \u9700\u8981 | \u4E0D\u9700\u8981 |

## \u5173\u952E\u89C4\u5219

1. **\u8FD9\u662F\u6574\u5408\u6027 skill**\uFF1A\u4E0D\u91CD\u65B0\u53D1\u660E\u8F6E\u5B50\uFF0C\u800C\u662F\u6309\u7167\u5176\u4ED6 skill\uFF08earnings-analysis\u3001comps\u3001dcf\u3001thesis\u3001sector\uFF09\u7684\u65B9\u6CD5\u8BBA\u6846\u67B6\u8FDB\u884C\u5206\u6790
2. **\u6DF1\u5EA6\u4F18\u5148**\uFF1A\u6BCF\u4E2A\u7AE0\u8282\u90FD\u5E94\u6709\u5B9E\u8D28\u6027\u5206\u6790\uFF0C\u4E0D\u662F\u7B80\u5355\u7F57\u5217\u6570\u636E
3. **\u903B\u8F91\u94FE\u6761**\uFF1A\u884C\u4E1A\u5206\u6790\u2192\u516C\u53F8\u5730\u4F4D\u2192\u8D22\u52A1\u9A8C\u8BC1\u2192\u4F30\u503C\u5B9A\u4EF7\u2192\u6295\u8D44\u8BBA\u70B9\uFF0C\u6BCF\u4E00\u6B65\u5E94\u903B\u8F91\u8FDE\u8D2F
4. **\u6570\u636E\u9A71\u52A8**\uFF1A\u6240\u6709\u89C2\u70B9\u5FC5\u987B\u6709\u6570\u636E\u652F\u6491
5. **\u5E73\u8861\u5BA2\u89C2**\uFF1A\u540C\u65F6\u5206\u6790\u770B\u591A\u548C\u770B\u7A7A\u7406\u7531\uFF0Cformal \u6A21\u5F0F\u4E0D\u7ED9\u660E\u786E\u4E70\u5356\u5EFA\u8BAE
6. **\u6570\u636E\u622A\u6B62\u6807\u6CE8**\uFF1A\u62A5\u544A\u9996\u9875\u6807\u6CE8\u6570\u636E\u622A\u6B62\u65E5\u671F\u548C\u62A5\u544A\u751F\u6210\u65E5\u671F

## 使用示例

### 示例 1: 基本使用

```python
# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})
```

### 示例 2: 命令行使用

```bash
python scripts/run_skill.py --input data.json
```
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.