Not in the top 1,000 by GitHub stars

chengwesley/taiwan-stock-analysis

taiwan-stock-analysis

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

View weekly changes

`SKILL.md`

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → bd69040b835e

No earlier version was observed for comparison.

Compare on GitHub

View on GitHub Add to my skills

Verified commit bd69040b835e03eaa93449f9ce5db4824a8235c8

159GitHub stars

2stars in 7 days

1skill in this repository

0commits in 30 days

Heat

4.0

Star growth, last 7 daysNot available
Star growth, last 24 hoursNot available
Rank movement, last 7 daysNot available
Commits, last 30 daysNot available
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

30-day change not yet available: not enough history.

Individual skills in this repository

taiwan-stock-analysis /

How it works

taiwan-stock-analysis

When your agent uses it

台灣上市上櫃公司三維財務分析儀表板。從 Goodinfo.tw 抓取真實財報數據（損益表、資產負債表、現金流量表），計算關鍵財務指標，生成互動式三分頁 HTML 儀表板（經營分析 / 獲利分析 / 財務健全度）並匯出為可分享的 HTML 檔案。當使用者提到以下情境時，一定要使用這個 skill： - 「幫我分析 XXXX（股票代碼）」、「財報分析」、「三維分析」 - 「管銷研發費用分析」、「獲利能力」、「財務健全度」 - 提到台灣股票代碼（4位數字）並要求分析 - 「經營/獲利/財務分析」、「幫我看這家公司」 - 任何涉及台股財務數據視覺化的需求

What it loads into context

Frontmatter

234 tokens

Always available to the agent

SKILL.md

5,515 tokens

When the skill is activated

Reference documents

3,099 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

概述
步驟一：抓取財報數據
步驟二：計算衍生指標
步驟二點五：三層驗證機制
步驟三：建立 HTML 儀表板
步驟四：Insight Box 撰寫規範
步驟五：輸出
注意事項

Scripts executed separately

scripts/fetch_goodinfo.py

Files

README.mddoc2,649 bytes
SKILL.mdcore16,314 bytes
SKILL.mdcore16,314 bytes
SKILL.mdcore16,314 bytes
SKILL.mdcore16,314 bytes
SKILL.mdcore16,314 bytes
references/dashboard_template.mddoc6,658 bytes
scripts/fetch_goodinfo.pyruns10,876 bytes
鴻海_2317_analysis.htmlasset27,940 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

taiwan-stock-analysis

Repository facts

License: No license detected
Created: May 1, 2026
Last pushed: Aug 26, 2026
Forks: 25
Open issues: 0
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 4 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

No broad tool permissions
No dangerous shell commands
41 network referencesin 5 files: SKILL.md:47 scripts/fetch_goodinfo.py:27 鴻海_2317_analysis.html:5 and 2 more
No hidden or obfuscated text
No instruction overrides
1 executable scriptin 1 file: scripts/fetch_goodinfo.py:1
No access to secrets
No requests to vote in Hot

Show all 42 signals by file

`README.md`

Network accessline 73

Made with ❤<U+FE0F> using [Claude](https://claude.ai) + Cowork mode

`SKILL.md`

Network accessline 47

headers = {         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',         'Referer': 'https://goodinfo.tw/'

Network accessline 48

'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',         'Referer': 'https://goodinfo.tw/'     }

Network accessline 49
```
'Referer': 'https://goodinfo.tw/'
```

Network accessline 50

}     cookies = {'CLIENT_KEY': client_key}     url = f"https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT={rpt_cat}&STOCK_ID={stock_id}&REINIT={days_adjusted:.10f}"

Network accessline 52

url = f"https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT={rpt_cat}&STOCK_ID={stock_id}&REINIT={days_adjusted:.10f}"

Network accessline 54

r = requests.get(url, headers=headers, cookies=cookies, timeout=15)

Network accessline 152

'source': 'Goodinfo.tw',     'source_urls': {         'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',

Network accessline 153

'source_urls': {         'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',         'balance_sheet':    f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=BS_YEAR&STOCK_ID={stock_id}',

Network accessline 154

'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',

Network accessline 155

'balance_sheet':    f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=BS_YEAR&STOCK_ID={stock_id}',

Network accessline 156

'cash_flow':        f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=CF_YEAR&STOCK_ID={stock_id}',

Network accessline 157

},     'mops_url':     f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=sii',     'mops_url_otc': f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=otc',

Network accessline 158

'mops_url':     f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=sii',

Network accessline 159

'mops_url_otc': f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=otc',

Network accessline 304

- CDN：`https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js`

`references/dashboard_template.md`

Network accessline 138

<meta charset="UTF-8">   <title>{公司名稱} ({股票代碼}) 三維財務分析</title>   <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script>

Network accessline 139

<title>{公司名稱} ({股票代碼}) 三維財務分析</title>   <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script>   <style>/* 貼入上方所有 CSS */</style>

Network accessline 140

<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script>

`scripts/fetch_goodinfo.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 27

headers = {         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',         'Referer': 'https://goodinfo.tw/'

Network accessline 28

'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',         'Referer': 'https://goodinfo.tw/'     }

Network accessline 29
```
'Referer': 'https://goodinfo.tw/'
```

Network accessline 30

}     cookies = {'CLIENT_KEY': client_key}     url = f"https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT={rpt_cat}&STOCK_ID={stock_id}&REINIT={days_adjusted:.10f}"

Network accessline 31

cookies = {'CLIENT_KEY': client_key}     url = f"https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT={rpt_cat}&STOCK_ID={stock_id}&REINIT={days_adjusted:.10f}"     r = requests.get(url, headers=headers, cookies=cookies, timeout=15)

Network accessline 32

url = f"https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT={rpt_cat}&STOCK_ID={stock_id}&REINIT={days_adjusted:.10f}"     r = requests.get(url, headers=headers, cookies=cookies, timeout=15)     r.encoding = 'utf-8'

Network accessline 33

r = requests.get(url, headers=headers, cookies=cookies, timeout=15)

Network accessline 90

'source': 'Goodinfo.tw',         'source_urls': {             'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',

Network accessline 91

'source_urls': {             'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',             'balance_sheet':    f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=BS_YEAR&STOCK_ID={stock_i

Network accessline 92

'income_statement': f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID={stock_id}',

Network accessline 93

'balance_sheet':    f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=BS_YEAR&STOCK_ID={stock_id}',

Network accessline 94

'cash_flow':        f'https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=CF_YEAR&STOCK_ID={stock_id}',

Network accessline 95

},         'mops_url':     f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=sii',         'mops_url_otc': f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=otc',

Network accessline 96

'mops_url':     f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=sii',

Network accessline 97

'mops_url_otc': f'https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id={stock_id}&TYPEK=otc',

`鴻海_2317_analysis.html`

Network accessline 5

<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>鴻海精密 (2317) 三維財務分析 2023–2025</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script>

Network accessline 6

<title>鴻海精密 (2317) 三維財務分析 2023–2025</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script> <style>

Network accessline 7

<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.0/dist/chart.umd.min.js"></script>

Network accessline 96

<span class="badge-ok">✓ 合理性檢查通過（7項規則）</span>   <span class="badge-info">ℹ TWSE API 暫不可用，名稱驗證略過</span>   <a href="https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id=2317&TYPEK=sii" target="_blank">📋 MOPS 官方申報</a>

Network accessline 97

<span class="badge-info">ℹ TWSE API 暫不可用，名稱驗證略過</span>   <a href="https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id=2317&TYPEK=sii" target="_blank">📋 MOPS 官方申報</a>   <a href="https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&ST

Network accessline 98

<a href="https://mops.twse.com.tw/mops/web/t05st01?step=1&co_id=2317&TYPEK=sii" target="_blank">📋 MOPS 官方申報</a>

Network accessline 99

<a href="https://goodinfo.tw/tw/StockFinDetail.asp?RPT_CAT=IS_YEAR&STOCK_ID=2317" target="_blank">🔗 Goodinfo 原始數據</a>

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 35 facts

Network access in prose of documentationREADME.md:73Low confidence
Network access in code of the SKILL.mdSKILL.md:47High confidence
Network access in code of the SKILL.mdSKILL.md:48High confidence
Network access in code of the SKILL.mdSKILL.md:49High confidence
Network access in code of the SKILL.mdSKILL.md:50High confidence
Network access in code of the SKILL.mdSKILL.md:52High confidence
Network access in code of the SKILL.mdSKILL.md:54High confidence
Network access in code of the SKILL.mdSKILL.md:152High confidence
Network access in code of the SKILL.mdSKILL.md:153High confidence
Network access in code of the SKILL.mdSKILL.md:154High confidence
Network access in code of the SKILL.mdSKILL.md:155High confidence
Network access in code of the SKILL.mdSKILL.md:156High confidence
Network access in code of the SKILL.mdSKILL.md:157High confidence
Network access in code of the SKILL.mdSKILL.md:158High confidence
Network access in code of the SKILL.mdSKILL.md:159High confidence
Network access in prose of the SKILL.mdSKILL.md:304Low confidence
Network access in code of documentationreferences/dashboard_template.md:138Low confidence
Network access in code of documentationreferences/dashboard_template.md:139Low confidence
Network access in code of documentationreferences/dashboard_template.md:140Low confidence
Executable script in code of a file that runsscripts/fetch_goodinfo.py:1High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:27High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:28High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:29High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:30High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:31High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:32High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:33High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:90High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:91High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:92High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:93High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:94High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:95High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:96High confidence
Network access in code of a file that runsscripts/fetch_goodinfo.py:97High confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

chengwesley/taiwan-stock-analysis

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

taiwan-stock-analysis

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

README.md

SKILL.md

references/dashboard_template.md

scripts/fetch_goodinfo.py

鴻海_2317_analysis.html

How the signals fit together

Works with

You might also use

mattpocock/skills

obra/superpowers

NousResearch/hermes-agent

multica-ai/andrej-karpathy-skills

anthropics/skills

DietrichGebert/ponytail

`SKILL.md`

`README.md`

`SKILL.md`

`references/dashboard_template.md`

`scripts/fetch_goodinfo.py`

`鴻海_2317_analysis.html`