Tushare Data
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。
通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用
$ npx skills add lzwme/finance-quant-skills --skill tdxquant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lzwme/finance-quant-skills tdxquant --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/lzwme/finance-quant-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tdxquant .claude/skills/tdxquant && 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 "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .claude/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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/lzwme/finance-quant-skills/tree/main/skills/tdxquantType 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 lzwme/finance-quant-skills --skill tdxquant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lzwme/finance-quant-skills tdxquant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tdxquant .agents/skills/tdxquant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .agents/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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 lzwme/finance-quant-skills --skill tdxquant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lzwme/finance-quant-skills tdxquant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tdxquant .cursor/skills/tdxquant && 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 "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .cursor/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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/lzwme/finance-quant-skills.git --path skills/tdxquant--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 lzwme/finance-quant-skills --skill tdxquant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lzwme/finance-quant-skills tdxquant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tdxquant .gemini/skills/tdxquant && 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 "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .gemini/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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 lzwme/finance-quant-skills tdxquantInstalls 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 lzwme/finance-quant-skills --skill tdxquant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tdxquant .github/skills/tdxquant && 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 "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .github/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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 lzwme/finance-quant-skills --skill tdxquant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lzwme/finance-quant-skills tdxquant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lzwme/finance-quant-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tdxquant .opencode/skills/tdxquant && 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 "tdxquant" agent skill from https://github.com/lzwme/finance-quant-skills/tree/main/skills/tdxquant into .opencode/skills/tdxquant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tdxquant", 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.
tdxquant通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用
Tdxquant is an agent skill from lzwme/finance-quant-skills. 通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `references/backtest.md`, `references/dict.md` and `references/python-init.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. It works with Python. The repository describes itself as: 一个面向金融量化交易领域的 Agent Skills 技能维护仓库,主要聚焦A股量化交易。
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d973f35. 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 9 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Tdxquant loads about 1.6k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 410 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 410 words (~1,577 tokens).
SKILL.md and 14 other files (scripts, references) in skills/tdxquant of lzwme/finance-quant-skills.
Open the folder on GitHubat commit d973f35
Tdxquant 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 |
|---|---|---|---|---|---|---|
| Tdxquant this skilllzwme/finance-quant-skills | 440 | — | ~1.6k | Automated safety check: Pass | None | |
| Tushare Datazillionare/zillionare | 321 | 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 | |
| Stock Analysis Teamwudengyao/stock-analysis-team | 167 | — | ~1.1k | Automated safety check: Pass | None | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Yahoo Finance24mlight/StockClaw | 101 | 2 repos | ~1.1k | Automated safety check: Notes | MIT |
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…
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.
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
24mlight/StockClaw
Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance.
liusai0820/Stock-Analysis-Skill
股票智能分析技能。输入股票代码(A股/港股/美股),自动完成: 1. An agent skill from liusai0820/Stock-Analysis-Skill.
lzwme/finance-quant-skills
AKShare 开源金融数据接口库,提供股票、期货、期权、基金、外汇、债券、指数、加密货币等全品类金融数据;当用户需要获取各类金融市场数据时使用
lzwme/finance-quant-skills
BaoStock 免费开源 A 股数据平台,无需注册、无需 API Key,支持股票行情、K线、财务数据、行业分类、指数成分股查询。当用户提及 baostock、需要获取A股历史行情、财务报表、交易日历,或需要免费、免注册的A股数据时使用。与 tushare(数据更全但需注册)和 jqdatasdk(聚宽数据)不同,baostock 完全免费无限制,适合快速入门和低成本数据需求。
lzwme/finance-quant-skills
机构级投研报告生成技能。覆盖中国A股、港股、美股上市公司。输出模式:1)投资速览:3-5页,含公司概览、核心财务指标、估值倍数、投资逻辑与风险因素;2)深度研报:≥25页,含行业分析、产业链图谱、三表模型、DCF估值、情景分析与敏感性测试。触发条件:1)直接请求:分析/看看/研究/调研/介绍一下 + 公司名或股票;2)投资询问:你怎么看/能不能买/值得投吗/帮我看看/扒一扒 +…
lzwme/finance-quant-skills
聚宽(JoinQuant)本地数据 SDK,提供 A 股行情、历史K线、财务数据、指标数据等,与聚宽官网数据同源。当用户提及 jqdatasdk、聚宽数据、需要获取A股数据,或已注册聚宽账号时使用。与 baostock(免费)和 tushare(数据最全)不同,jqdatasdk 需注册聚宽账号获取 Token,适合已在使用聚宽平台的用户。本地数据获取请用本技能,聚宽官网策略开发请用…
lzwme/finance-quant-skills
MiniQMT 迅投量化交易接口,基于 XtQuant Python 库(xtdata 行情 / xttrader 交易),供外部 Python 程序连接 MiniQMT 客户端,支持 A 股/期货/期权的行情获取(K线、分笔、财务数据等)和交易下单(报单、撤单、查询资产/委托/持仓)。当用户提及 miniqmt、xtquant、获取实时行情、量化交易下单、回测数据获取,或需要用外部…
lzwme/finance-quant-skills
Tushare 专业金融数据平台,提供A股行情、历史K线、财务数据、宏观数据、指数数据等,覆盖全面、数据质量高。当用户提及 Tushare、获取A股数据、查询财务报表、下载宏观数据,或需要高质量、多维度金融数据时使用。与 baostock(免费但功能有限)和 jqdatasdk(需注册但有积分门槛)不同,tushare 数据最全但需注册获取 Token。免费替代方案可用 baostock 或…
Works with
Categories
通达信量化数据获取技能。当用户提及 tdxquant、通达信、TdxQuant、tqcenter,并且需要获取A股数据(行情快照、K线、财务、板块、可转债、新股、交易数据等)、查询交易日历、执行通达信公式、订阅行情、交易下单时使用. Tdxquant is an agent skill from lzwme/finance-quant-skills.
Tdxquant fits situations like: tasks that involve Stock and market analysis.
Run `npx skills add lzwme/finance-quant-skills --skill tdxquant -a claude-code`. Or copy the skill folder (skills/tdxquant in lzwme/finance-quant-skills) into .claude/skills/tdxquant in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lzwme/finance-quant-skills --skill tdxquant -a codex`. Or copy the skill folder (skills/tdxquant in lzwme/finance-quant-skills) into .agents/skills/tdxquant 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 lzwme/finance-quant-skills --skill tdxquant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tdxquant, .gemini/skills/tdxquant, .github/skills/tdxquant and .opencode/skills/tdxquant in your project.
Going by SKILL.md and its folder, Tdxquant needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
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.
No licence was found for Tdxquant or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.6k tokens (SKILL.md is roughly 6.3k 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 20k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Tdxquant: Tushare Data (zillionare/zillionare, 321 stars), Global Stock Data (simonlin1212/global-stock-data, 1.7k stars), Stock Analysis Team (wudengyao/stock-analysis-team, 167 stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lzwme (a GitHub organization) maintains it in lzwme/finance-quant-skills, which has 440 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 23, 2026.
Source: lzwme/finance-quant-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.