Agent skill

A Share Initiation

by aifinlab in aifinlab/FinClaw

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…

Apache-2.0Auto-check passedBusiness, Finance & HR

Install A Share Initiation

skills CLI
$ npx skills add aifinlab/FinClaw --skill a-share-initiation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aifinlab/FinClaw a-share-initiation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aifinlab/FinClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/a-share-initiation .claude/skills/a-share-initiation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
a-share-initiation
GitHub stars
254
Token cost
~1.8k tokens
SKILL.md length
186 words
Files
2 (incl. references)
Skills in repo
74
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 7 steps: \u516C\u53F8\u6982\u51B5 → \u884C\u4E1A\u5206\u6790\uFF08\u7CBE\u7B8… → \u8D22\u52A1\u6DF1\u5EA6\u5206\u6790\uFF0… → …
  • User asks for deep research
  • SKILL.md covers \u6570\u636E\u6E90, Workflow (7 phases), \u98CE\u683C\u8BF4\u660E and \u5173\u952E\u89C4\u5219, plus 1 more section
  • Calls python

What it does

A Share Initiation is an agent skill from aifinlab/FinClaw. 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)。

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/report-structure.md`).

It sits in Business, Finance & HR, covering Deep research, Financial modeling and Stock and market analysis. The licence is Apache-2.0.

When your agent uses it

  • User asks for deep research
  • Initiating coverage
  • Comprehensive stock analysis
  • A full research report on a specific stock

Example prompts

  • “全面分析XX”
  • “initiation”
  • “initiating coverage”
  • “/a-share-initiation”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. \u516C\u53F8\u6982\u51B5
  2. \u884C\u4E1A\u5206\u6790\uFF08\u7CBE\u7B80\u7248 a-share-sector\uFF09
  3. \u8D22\u52A1\u6DF1\u5EA6\u5206\u6790\uFF08\u590D\u7528 a-share-earnings-analysis \u6846\u67B6\uFF09
  4. \u4F30\u503C\u5206\u6790\uFF08\u6574\u5408 DCF + Comps\uFF09
  5. \u6295\u8D44\u8BBA\u70B9\uFF08\u590D\u7528 a-share-thesis \u6846\u67B6\uFF09
  6. \u62A5\u544A\u751F\u6210
  7. QC \u9A8C\u8BC1

What it can do on your machine

Read from SKILL.md and the folder at commit 9e62862. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

A Share Initiation loads about 1.8k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aifinlab/FinClaw at commit 9e62862, republished under its Apache-2.0 licence (© aifinlab). 186 words, ~1,822 tokens.

Download SKILL.mdSave it as .claude/skills/a-share-initiation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
a-share-initiation
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\u5EA6formal\uFF08\u5238\u5546\u6DF1\u5EA6\u62A5\u544A\uFF09brief\uFF08\u4E2A\u4EBA\u7814\u7A76\u7B14\u8BB0\uFF09
\u7BC7\u5E4515-30 \u98753-5 \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\u67903-5 \u9875\u72EC\u7ACB\u7AE0\u82820.5 \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\u503CDCF + Comps \u53CC\u65B9\u6CD5\u4E3B\u7528 Comps\uFF0C\u7B80\u5316 DCF
\u6295\u8D44\u8BBA\u70B9\u5B8C\u6574\u7ED3\u6784\u5316\u8BBA\u70B93 \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

© aifinlab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/a-share-initiation of aifinlab/FinClaw.

  • SKILL.md
  • references/report-structure.md

Open the folder on GitHubat commit 9e62862

Compare with similar skills

A Share Initiation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

A Share Initiation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
A Share Initiation this skillaifinlab/FinClaw254—~1.8kAutomated safety check: PassApache-2.0
Longbridge Earningshelsome/folio2691 repos~2.5kAutomated safety check: PassNone
Equity ResearchrollingSirius/equity-research-skill452—~1.5kAutomated safety check: PassMIT
Stock Value AnalyzerFunnyKun/stock-value-analyzer140—~3.3kAutomated safety check: PassNone
Manussanjay3290/ai-skills4311 repos~1.7kAutomated safety check: PassApache-2.0
Initiating Coveragerongxinzy/RongxinAI1542 repos~7.4kAutomated safety check: PassAGPL-3.0

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Questions about A Share Initiation

What does A Share Initiation do?

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…. A Share Initiation is an agent skill from aifinlab/FinClaw. 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.

When should I use A Share Initiation?

A Share Initiation fits situations like: user asks for deep research; initiating coverage; comprehensive stock analysis; A full research report on a specific stock.

How do I install A Share Initiation in Claude Code?

Run `npx skills add aifinlab/FinClaw --skill a-share-initiation -a claude-code`. Or copy the skill folder (skills/a-share-initiation in aifinlab/FinClaw) into .claude/skills/a-share-initiation in your project. Claude Code loads it when a task matches its description.

How do I install A Share Initiation in Codex?

Run `npx skills add aifinlab/FinClaw --skill a-share-initiation -a codex`. Or copy the skill folder (skills/a-share-initiation in aifinlab/FinClaw) into .agents/skills/a-share-initiation in your project. Codex loads it when a task matches its description.

Can I use A Share Initiation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aifinlab/FinClaw --skill a-share-initiation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/a-share-initiation, .gemini/skills/a-share-initiation, .github/skills/a-share-initiation and .opencode/skills/a-share-initiation in your project.

What does A Share Initiation need to run?

Going by SKILL.md and its folder, A Share Initiation needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does A Share Initiation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is A Share Initiation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does A Share Initiation use?

A Share Initiation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does A Share Initiation use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 836 tokens, read only when the agent opens those files.

What are the alternatives to A Share Initiation?

Skills that share tags, products or a category with A Share Initiation: Longbridge Earnings (helsome/folio, 269 stars), Equity Research (rollingSirius/equity-research-skill, 452 stars), Stock Value Analyzer (FunnyKun/stock-value-analyzer, 140 stars) and Manus (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains A Share Initiation?

aifinlab (a GitHub user) maintains it in aifinlab/FinClaw, which has 254 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on May 13, 2026.

Source: aifinlab/FinClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.