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.
“股票筛选器 - 按条件筛选全市场股票，找出符合策略的标的”
Install Stock Screener
$ npx skills add chengzuopeng/stock-sdk-mcp --skill stock-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install chengzuopeng/stock-sdk-mcp stock-screener --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/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stock-screener .claude/skills/stock-screener && 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 "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .claude/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screenerType 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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install chengzuopeng/stock-sdk-mcp stock-screener --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stock-screener .agents/skills/stock-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .agents/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install chengzuopeng/stock-sdk-mcp stock-screener --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stock-screener .cursor/skills/stock-screener && 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 "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .cursor/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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/chengzuopeng/stock-sdk-mcp.git --path skills/stock-screener--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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install chengzuopeng/stock-sdk-mcp stock-screener --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stock-screener .gemini/skills/stock-screener && 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 "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .gemini/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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 chengzuopeng/stock-sdk-mcp stock-screenerInstalls 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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stock-screener .github/skills/stock-screener && 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 "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .github/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install chengzuopeng/stock-sdk-mcp stock-screener --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/chengzuopeng/stock-sdk-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stock-screener .opencode/skills/stock-screener && 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 "stock-screener" agent skill from https://github.com/chengzuopeng/stock-sdk-mcp/tree/main/skills/stock-screener into .opencode/skills/stock-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-screener", 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.
Facts
- Skill name
stock-screener- GitHub stars
- 103
- Token cost
- ~676 tokens
- SKILL.md length
- 100 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- ISC
At a glance
- Works in 4 steps: 调用 get_all_a_share_quotes 获取创业板全部股票 → 筛选涨幅 > 8% → 按成交额降序排序 → …
- SKILL.md covers 描述, 能力范围, 使用方法 and 执行步骤, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
Stock Screener is a skill in chengzuopeng/stock-sdk-mcp (103 stars). Its SKILL.md is about 676 tokens. Licence: ISC.
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 调用 get_all_a_share_quotes 获取创业板全部股票
- 筛选涨幅 > 8%
- 按成交额降序排序
- 取前 10 只输出表格
What it can do on your machine
Read from SKILL.md and the folder at commit 6b57f40. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are json, javascript and markdown).
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
Stock Screener loads about 676 tokens when it runs. Until then it costs about 11 tokens; SKILL.md has 100 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.
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 chengzuopeng/stock-sdk-mcp at commit 6b57f40, republished under its ISC licence (© chengzuopeng). 100 words, ~676 tokens.
Download SKILL.mdSave it as
.claude/skills/stock-screener/SKILL.md (or your agent's skills folder).- name
- stock-screener
- description
- 股票筛选器 - 按条件筛选全市场股票，找出符合策略的标的
- version
- 1.0
- author
- chengzuopeng
- tags
- stock, screening, strategy
- requires.mcp_servers
- stock-sdk
🔍 股票筛选器
描述
你是一个智能股票筛选助手，能够从全市场数千只股票中，按照用户指定的条件快速筛选出符合要求的股票列表。
能力范围
- 筛选 A 股（全市场/沪市/深市/科创板/创业板）
- 筛选港股、美股
- 按涨跌幅、市值、市盈率、成交量等条件筛选
- 按行业板块、概念板块筛选
- 组合多个条件进行复合筛选
使用方法
用户可以通过以下方式触发筛选：
- "找出今天涨幅超过 5% 的科创板股票"
- "筛选市盈率低于 20 的银行股"
- "今天哪些股票涨停了？"
- "找出成交量最大的前 10 只 A 股"
- "人工智能概念里涨幅最高的股票有哪些？"
执行步骤
步骤 1: 理解筛选条件
解析用户的自然语言，提取筛选条件：
- 市场范围：A 股/港股/美股/某板块
- 涨跌幅条件：涨幅 > X% / 涨停 / 跌停
- 估值条件：市盈率、市净率范围
- 规模条件：市值范围
- 成交条件：成交量、换手率
- 排序要求：按什么排序，取多少条
步骤 2: 获取全市场数据
根据市场范围调用对应的批量查询工具：
A 股：
{
"tool": "get_all_a_share_quotes",
"arguments": {
"market": "all" // 或 "sh"/"sz"/"kc"/"cy"
}
}港股：
{
"tool": "get_all_hk_quotes",
"arguments": {}
}美股：
{
"tool": "get_all_us_quotes",
"arguments": {
"market": "all" // 或 "NASDAQ"/"NYSE"
}
}板块成分股：
{
"tool": "get_concept_constituents", // 或 get_industry_constituents
"arguments": {
"code": "板块代码"
}
}步骤 3: 数据筛选
对获取到的数据按用户条件进行筛选：
// 示例筛选逻辑（AI 内部处理）
const results = allQuotes.filter(stock => {
// 涨幅条件
if (条件.minChangePercent && stock.changePercent < 条件.minChangePercent) return false;
if (条件.maxChangePercent && stock.changePercent > 条件.maxChangePercent) return false;
// 市盈率条件
if (条件.maxPE && stock.pe > 条件.maxPE) return false;
if (条件.minPE && stock.pe < 条件.minPE) return false;
// 市值条件（单位：亿）
if (条件.minMarketCap && stock.totalMarketCap < 条件.minMarketCap) return false;
return true;
});步骤 4: 排序和限制
按用户要求排序并取前 N 条：
- 按涨幅排序：
sort((a, b) => b.changePercent - a.changePercent) - 按成交额排序：
sort((a, b) => b.amount - a.amount) - 按市值排序：
sort((a, b) => b.totalMarketCap - a.totalMarketCap)
步骤 5: 输出结果
以表格形式输出筛选结果：
## 📋 筛选结果
**筛选条件**：科创板 + 今日涨幅 > 5%
**结果数量**：15 只
| 排名 | 代码 | 名称 | 现价 | 涨跌幅 | 成交额(亿) | 市盈率 |
|------|------|------|------|--------|------------|--------|
| 1 | 688XXX | XXX | 88.88 | +12.5% | 5.6 | 35.2 |
| 2 | 688XXX | XXX | 66.66 | +10.2% | 3.2 | 28.5 |
| ... | ... | ... | ... | ... | ... | ... |
💡 **提示**：如需进一步分析某只股票，可以说"分析一下第1只"常用筛选策略
涨停板筛选
条件：涨跌幅 >= 9.9%（A 股）
工具：get_all_a_share_quotes -> 筛选 changePercent >= 9.9低估值蓝筹
条件：市值 > 500 亿 && PE < 15 && PE > 0
工具：get_all_a_share_quotes -> 筛选放量突破
条件：今日成交量 > 5 日平均成交量 * 2 && 涨幅 > 3%
工具：先获取行情，再逐一获取 K 线计算示例
用户：找出今天涨幅超过 8% 的创业板股票，按成交额排序，给我前 10 只
AI：
- 调用
get_all_a_share_quotes获取创业板全部股票 - 筛选涨幅 > 8%
- 按成交额降序排序
- 取前 10 只输出表格
© chengzuopeng, ISC. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/stock-screener of chengzuopeng/stock-sdk-mcp.
Open the folder on GitHubat commit 6b57f40
Compare with similar skills
Stock Screener 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 |
|---|---|---|---|---|---|---|
| Stock Screener this skillchengzuopeng/stock-sdk-mcp | 103 | — | ~676 | Automated safety check: Pass | ISC | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 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 | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 271 | 3 repos | ~2.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Stock Screener
How do I install Stock Screener in Claude Code?
Run `npx skills add chengzuopeng/stock-sdk-mcp --skill stock-screener -a claude-code`. Or copy the skill folder (skills/stock-screener in chengzuopeng/stock-sdk-mcp) into .claude/skills/stock-screener in your project. Claude Code loads it when a task matches its description.
How do I install Stock Screener in Codex?
Run `npx skills add chengzuopeng/stock-sdk-mcp --skill stock-screener -a codex`. Or copy the skill folder (skills/stock-screener in chengzuopeng/stock-sdk-mcp) into .agents/skills/stock-screener in your project. Codex loads it when a task matches its description.
Can I use Stock Screener 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 chengzuopeng/stock-sdk-mcp --skill stock-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stock-screener, .gemini/skills/stock-screener, .github/skills/stock-screener and .opencode/skills/stock-screener in your project.
What does Stock Screener need to run?
SKILL.md names no scripts, command-line tools or credentials: Stock Screener is instructions for the agent only.
Does Stock Screener 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 Stock Screener 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 Stock Screener use?
Stock Screener is published under the ISC licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Stock Screener use?
About 676 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Stock Screener?
Skills that share tags, products or a category with Stock Screener: Stock API (zhangxiangliang/stock-api, 2k stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stock Screener?
chengzuopeng (a GitHub user) maintains it in chengzuopeng/stock-sdk-mcp, which has 103 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on May 24, 2026.
Source: chengzuopeng/stock-sdk-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.