A\u80A1\u4E2A\u80A1\u6DF1\u5EA6\u7814\u7A76/\u9996\u6B21\u8986\u76D6\u62A5\u544A
SkillDev toolsIn-depth A-share individual stock research / initiation-of-coverage reports / comprehensive stock analysis. Triggered when the user says "深度研究" (deep research), "深度分析" (deep analysis), "全面分析XX" (comprehensive analysis of XX), "首次覆盖" (initiating coverage), "initiation", "initiating coverage", "帮我研究一下
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the A\u80A1\u4E2A\u80A1\u6DF1\u5EA6\u7814\u7A76/\u9996\u6B21\u8986\u76D6\u62A5\u544A skill
What this skill tells your AI
The instructions your AI receives, as published by aifinlab/finclaw in skills/a-share-initiation/SKILL.md and read by ahel’s review.
\u6570\u636E\u6E90
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
- 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
- \u4E1A\u52A1\u62C6\u5206\uFF1A\u5404\u4E1A\u52A1\u677F\u5757\u6536\u5165\u5360\u6BD4\u3001\u589E\u901F
- \u884C\u4E1A\u5B9A\u4F4D\uFF1A\u6240\u5C5E\u884C\u4E1A\u3001\u5E02\u573A\u5730\u4F4D\u3001\u5E02\u5360\u7387
- \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
- \u884C\u4E1A\u89C4\u6A21\u4E0E\u589E\u901F
- \u7ADE\u4E89\u683C\u5C40\uFF08CR3/CR5\uFF09
- \u4EA7\u4E1A\u94FE\u4F4D\u7F6E
- \u884C\u4E1A\u9A71\u52A8\u529B\u4E0E\u98CE\u9669
- \u653F\u7B56\u73AF\u5883
Phase 3: \u8D22\u52A1\u6DF1\u5EA6\u5206\u6790\uFF08\u590D\u7528 a-share-earnings-analysis \u6846\u67B6\uFF09
- \u6536\u5165\u5206\u6790\uFF1A\u603B\u91CF+\u7ED3\u6784+\u8D8B\u52BF\uFF08\u8FD1 8-12 \u4E2A\u5B63\u5EA6\uFF09
- \u76C8\u5229\u80FD\u529B\uFF1A\u6BDB\u5229\u7387/\u51C0\u5229\u7387/ROE \u8D8B\u52BF\u53CA\u9A71\u52A8\u56E0\u7D20
- \u73B0\u91D1\u6D41\u8D28\u91CF\uFF1A\u7ECF\u8425\u73B0\u91D1\u6D41/\u51C0\u5229\u6DA6\u3001\u81EA\u7531\u73B0\u91D1\u6D41
- \u8D44\u4EA7\u8D1F\u503A\u8868\uFF1A\u8D1F\u503A\u7387\u3001\u8425\u8FD0\u8D44\u91D1\u6548\u7387\u3001\u8D44\u4EA7\u8D28\u91CF
- \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
- \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
- 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
- \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
- \u6838\u5FC3\u6295\u8D44\u903B\u8F91\uFF081-2 \u53E5\uFF09
- \u770B\u591A\u8BBA\u636E\uFF083-5 \u6761\uFF09
- \u5173\u952E\u98CE\u9669\uFF083-5 \u6761\uFF09
- \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
- \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
- \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
- \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
- \u6570\u636E\u9A71\u52A8\uFF1A\u6240\u6709\u89C2\u70B9\u5FC5\u987B\u6709\u6570\u636E\u652F\u6491
- \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
- \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
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
示例 2: 命令行使用
python scripts/run_skill.py --input data.json
Signals
- GitHub stars
- 241
- Forks
- 38
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
a-share-initiation- Source
- github.com/aifinlab/finclaw