Stock API
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
查询A股、港股、美股个股/指数/ETF的详细数据,包括:实时行情、K线/分时、财务报表(三大报表多期查询,支持跨市场批量对比)、资金流向、技术指标、筹码分析、机构评级/研报/一致预期、个股新闻/公告/研报、市场资讯、风险事件(质押/解禁/诉讼/ST警示/增发等)、股东结构、分红除权、业绩预告、公司简况、ETF基金数据(详情/持仓/净值/持有人/公司信息);以及大盘指数、行业/板块行情、板块/概念…
$ npx skills add infometa/workbuddyskills --skill westock-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills westock-data --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .claude/skills/westock-data && 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 "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .claude/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-dataType 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 infometa/workbuddyskills --skill westock-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills westock-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .agents/skills/westock-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .agents/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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 infometa/workbuddyskills --skill westock-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills westock-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .cursor/skills/westock-data && 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 "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .cursor/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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/infometa/workbuddyskills.git --path experts/strategy-backtest-expert/skills/westock-data--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 infometa/workbuddyskills --skill westock-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills westock-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .gemini/skills/westock-data && 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 "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .gemini/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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 infometa/workbuddyskills westock-dataInstalls 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 infometa/workbuddyskills --skill westock-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .github/skills/westock-data && 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 "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .github/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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 infometa/workbuddyskills --skill westock-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills westock-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/strategy-backtest-expert/skills/westock-data .opencode/skills/westock-data && 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 "westock-data" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/strategy-backtest-expert/skills/westock-data into .opencode/skills/westock-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "westock-data", 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.
westock-data查询A股、港股、美股个股/指数/ETF的详细数据,包括:实时行情、K线/分时、财务报表(三大报表多期查询,支持跨市场批量对比)、资金流向、技术指标、筹码分析、机构评级/研报/一致预期、个股新闻/公告/研报、市场资讯、风险事件(质押/解禁/诉讼/ST警示/增发等)、股东结构、分红除权、业绩预告、公司简况、ETF基金数据(详情/持仓/净值/持有人/公司信息);以及大盘指数、行业/板块行情、板块/概念…
Westock Data is an agent skill from infometa/workbuddyskills. 查询A股、港股、美股个股/指数/ETF的详细数据,包括:实时行情、K线/分时、财务报表(三大报表多期查询,支持跨市场批量对比)、资金流向、技术指标、筹码分析、机构评级/研报/一致预期、个股新闻/公告/研报、市场资讯、风险事件(质押/解禁/诉讼/ST警示/增发等)、股东结构、分红除权、业绩预告、公司简况、ETF基金数据(详情/持仓/净值/持有人/公司信息);以及大盘指数、行业/板块行情、板块/概念成份股(申万行业/聚源概念)、板块区间涨幅排行、指数成份股、陆股通成份股、热搜、股单、新股日历、投资日历、脱水研报等市场数据;宏观经济数据(GDP/CPI/PPI/PMI/工业利润/消费/投资/货币供给/利率等)。
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `package.json`, `references/ai_usage_guide.md` and `references/macro-fields.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 75a5ad9. 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 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom 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.
Westock Data loads about 3.9k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 275 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 275 words (~3,887 tokens).
SKILL.md and 5 other files (scripts, references) in experts/strategy-backtest-expert/skills/westock-data of infometa/workbuddyskills.
Open the folder on GitHubat commit 75a5ad9
Westock Data 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 |
|---|---|---|---|---|---|---|
| Westock Data this skillinfometa/workbuddyskills | 344 | — | ~3.9k | Automated safety check: Pass | None | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 269 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
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。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
Categories
查询A股、港股、美股个股/指数/ETF的详细数据,包括:实时行情、K线/分时、财务报表(三大报表多期查询,支持跨市场批量对比)、资金流向、技术指标、筹码分析、机构评级/研报/一致预期、个股新闻/公告/研报、市场资讯、风险事件(质押/解禁/诉讼/ST警示/增发等)、股东结构、分红除权、业绩预告、公司简况、ETF基金数据(详情/持仓/净值/持有人/公司信息);以及大盘指数、行业/板块行情、板块/概念…. Westock Data is an agent skill from infometa/workbuddyskills.
Westock Data fits situations like: tasks that involve Stock and market analysis.
Run `npx skills add infometa/workbuddyskills --skill westock-data -a claude-code`. Or copy the skill folder (experts/strategy-backtest-expert/skills/westock-data in infometa/workbuddyskills) into .claude/skills/westock-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill westock-data -a codex`. Or copy the skill folder (experts/strategy-backtest-expert/skills/westock-data in infometa/workbuddyskills) into .agents/skills/westock-data 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 infometa/workbuddyskills --skill westock-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/westock-data, .gemini/skills/westock-data, .github/skills/westock-data and .opencode/skills/westock-data in your project.
Going by SKILL.md and its folder, Westock Data needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js.
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 Westock Data or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 3.9k tokens (SKILL.md is roughly 16k 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 18k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Westock Data: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.