Itr Wala
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
A股金融数据工具包。提供脚本获取A股实时行情、财务指标、董监高增减持、北向资金、宏观经济数据(LPR、CPI/PPI、PMI、社融、M2)。用于需要实时A股市场数据支撑投资分析时。所有数据源免费,无需API密钥。
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Geeksfino/finskills findata-toolkit-cn --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/China-market/findata-toolkit-cn .claude/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.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/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .claude/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cnType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Geeksfino/finskills findata-toolkit-cn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/China-market/findata-toolkit-cn .agents/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .agents/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Geeksfino/finskills findata-toolkit-cn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/China-market/findata-toolkit-cn .cursor/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .cursor/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Geeksfino/finskills.git --path China-market/findata-toolkit-cn--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Geeksfino/finskills findata-toolkit-cn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/China-market/findata-toolkit-cn .gemini/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .gemini/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Geeksfino/finskills findata-toolkit-cnInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/China-market/findata-toolkit-cn .github/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .github/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Geeksfino/finskills findata-toolkit-cn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/China-market/findata-toolkit-cn .opencode/skills/findata-toolkit-cn && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "findata-toolkit-cn" agent skill from https://github.com/Geeksfino/finskills/tree/main/China-market/findata-toolkit-cn into .opencode/skills/findata-toolkit-cn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "findata-toolkit-cn", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
findata-toolkit-cnA股金融数据工具包。提供脚本获取A股实时行情、财务指标、董监高增减持、北向资金、宏观经济数据(LPR、CPI/PPI、PMI、社融、M2)。用于需要实时A股市场数据支撑投资分析时。所有数据源免费,无需API密钥。
Findata Toolkit Cn is an agent skill from Geeksfino/finskills. A股金融数据工具包。提供脚本获取A股实时行情、财务指标、董监高增减持、北向资金、宏观经济数据(LPR、CPI/PPI、PMI、社融、M2)。用于需要实时A股市场数据支撑投资分析时。所有数据源免费,无需API密钥。
Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts (for example `config/data_sources.yaml`, `scripts/common/__init__.py` and `scripts/common/config.py`).
It sits in Business, Finance & HR. It works with Python. The repository describes itself as: Financial engineering and risk/compliance skills for agents. The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8722415. It shows what the files ask for, not the result of running them.
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.
Ships 5 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Findata Toolkit Cn loads about 395 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 99 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from Geeksfino/finskills at commit 8722415, republished under its Apache-2.0 licence (© Geeksfino). 99 words, ~395 tokens.
.claude/skills/findata-toolkit-cn/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.自包含的数据工具包,提供A股市场实时金融数据和定量计算。所有数据源免费,无需API密钥。
安装依赖(一次性):
pip install -r requirements.txt所有脚本位于 scripts/ 目录。从技能根目录运行。
scripts/stock_data.py)通过 AKShare 获取A股基本面、行情、财务指标。
| 命令 | 用途 |
|---|---|
python scripts/stock_data.py 600519 | 基本信息(贵州茅台) |
python scripts/stock_data.py 600519 --metrics | 完整财务指标(估值、盈利、杠杆、增长) |
python scripts/stock_data.py 600519 --history | 历史OHLCV行情 |
python scripts/stock_data.py 600519 --financials | 利润表、资产负债表、现金流量表 |
python scripts/stock_data.py 600519 --insider | 董监高增减持数据 |
python scripts/stock_data.py --northbound | 北向资金流向(沪股通/深股通) |
python scripts/stock_data.py 600519 000858 --screen | 批量筛选 |
scripts/macro_data.py)通过 AKShare 获取中国宏观经济指标。
| 命令 | 用途 |
|---|---|
python scripts/macro_data.py --dashboard | 完整宏观仪表盘 |
python scripts/macro_data.py --rates | 利率数据(LPR、Shibor) |
python scripts/macro_data.py --inflation | CPI/PPI数据 |
python scripts/macro_data.py --pmi | PMI数据(制造业/非制造业) |
python scripts/macro_data.py --social-financing | 社会融资规模 + M2 |
python scripts/macro_data.py --cycle | 经济周期阶段判断 |
| 来源 | 数据内容 | API密钥 |
|---|---|---|
| AKShare | A股行情、财务数据、董监高交易、北向资金、宏观指标 | 无需 |
所有脚本以 JSON 输出到标准输出,便于解析。错误信息输出到标准错误。
可选:编辑 config/data_sources.yaml 自定义速率限制或添加付费数据源API密钥。
© Geeksfino, 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
SKILL.md and 8 other files (scripts) in China-market/findata-toolkit-cn of Geeksfino/finskills.
Open the folder on GitHubat commit 8722415
Findata Toolkit Cn 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Findata Toolkit Cn this skillGeeksfino/finskills | 282 | — | ~395 | Automated safety check: Pass | Apache-2.0 | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Global Stock Datasimonlin1212/global-stock-data | 1.7k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Korean Government Grant Searchdjfksjd/ir-search | 391 | — | ~3.5k | Automated safety check: Notes | MIT | |
| Kalshi Traderyanfrigo/kalshi-ai-trading-bot | 613 | — | ~3.4k | Automated safety check: Pass | MIT |
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
simonlin1212/global-stock-data
美股港股全栈数据工具包(官方源优先)— 十三层架构·30+端点·11数据源·全部零鉴权。在原有行情/K线/技术指标(MA/MACD/RSI/KDJ/布林带)/基本面/资金面/期权/SEC Filing/工具八层之上,新增:CBOE官方期权链(完整希腊字母+IV+0DTE流+异动识别)、FINRA全市场每日空头成交量、SEC…
djfksjd/ir-search
Surveys open Korean government startup and R&D support programs and sorts them by fit with your project, checking eligibility against the original notices.
ryanfrigo/kalshi-ai-trading-bot
The disciplined process for autonomously and profitably trading the live Kalshi account on each /loop tick, with Claude as the decision-maker.
wudengyao/stock-analysis-team
提供股票多维度分析团队协同研究能力;当用户需要股票分析、投资决策支持、风险评估、市场复盘或回测验证时使用. An agent skill from wudengyao/stock-analysis-team.
Geeksfino/finskills
Free Python scripts that fetch US stock data, SEC filings, insider trades and macro indicators, and run financial score calculators and portfolio analytics.
Geeksfino/finskills
Runs a forensic review of one company's financial statements covering DuPont profitability, earnings quality, financial health scores and fraud-risk signals.
Geeksfino/finskills
Screens a stock universe with a six-factor model, scores value, momentum, quality, low volatility, size and growth, ranks by composite score and notes which factors suit the macro regime.
Geeksfino/finskills
Compares leading tech stocks to separate hype-driven valuations from fundamentally justified ones and to flag undervalued names the market overlooks.
Geeksfino/finskills
Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return.
Geeksfino/finskills
Screens US stocks through an ESG lens, applies optional exclusion lists, scores the environmental, social and governance pillars and judges whether ESG quality is improving.
Works with
Categories
A股金融数据工具包。提供脚本获取A股实时行情、财务指标、董监高增减持、北向资金、宏观经济数据(LPR、CPI/PPI、PMI、社融、M2)。用于需要实时A股市场数据支撑投资分析时。所有数据源免费,无需API密钥。. Findata Toolkit Cn is an agent skill from Geeksfino/finskills.
Findata Toolkit Cn fits situations like: business, Finance & HR work in your project.
Run `npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a claude-code`. Or copy the skill folder (China-market/findata-toolkit-cn in Geeksfino/finskills) into .claude/skills/findata-toolkit-cn in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a codex`. Or copy the skill folder (China-market/findata-toolkit-cn in Geeksfino/finskills) into .agents/skills/findata-toolkit-cn in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Geeksfino/finskills --skill findata-toolkit-cn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/findata-toolkit-cn, .gemini/skills/findata-toolkit-cn, .github/skills/findata-toolkit-cn and .opencode/skills/findata-toolkit-cn in your project.
Going by SKILL.md and its folder, Findata Toolkit Cn needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Findata Toolkit Cn is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 395 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Findata Toolkit Cn: Itr Wala (karanb192/itr-wala, 871 stars), Tushare Data (zillionare/zillionare, 322 stars), Global Stock Data (simonlin1212/global-stock-data, 1.7k stars) and Korean Government Grant Search (djfksjd/ir-search, 391 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Geeksfino (a GitHub user) maintains it in Geeksfino/finskills, which has 282 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on March 5, 2026.
Source: Geeksfino/finskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.