Agent skill

Hithink Market Query

by hiboys in hiboys/ExploreFinance

获取股票、ETF、指数等实时价格、涨跌幅、成交量、主力资金流向、大小单、技术指标等行情数据,支持自然语言问句输入,返回相关行情数据结果。当用户询问股票价格、ETF行情、指数行情、涨跌幅、成交量、资金流向、技术指标等行情数据查询问题时,必须使用此技能。

MITAuto-check passedBusiness, Finance & HR

Install Hithink Market Query

skills CLI
$ npx skills add hiboys/ExploreFinance --skill hithink-market-query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hiboys/ExploreFinance hithink-market-query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hiboys/ExploreFinance.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/hithink-market-query .claude/skills/hithink-market-query && rm -rf skills-src

Use ~/.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/

Facts

Skill name
hithink-market-query
GitHub stars
365
Token cost
~2k tokens
SKILL.md length
321 words
Files
3 (incl. scripts)
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

获取股票、ETF、指数等实时价格、涨跌幅、成交量、主力资金流向、大小单、技术指标等行情数据,支持自然语言问句输入,返回相关行情数据结果。当用户询问股票价格、ETF行情、指数行情、涨跌幅、成交量、资金流向、技术指标等行情数据查询问题时,必须使用此技能。

  • Tasks that involve Stock and market analysis
  • SKILL.md covers 版本, 技能概述, 使用前 and 核心处理流程, plus 6 more sections
  • Runs Python scripts from its folder; calls python3, curl and openssl; reaches openapi.iwencai.com; needs IWENCAI_API_KEY

What it does

Hithink Market Query is an agent skill from hiboys/ExploreFinance. 获取股票、ETF、指数等实时价格、涨跌幅、成交量、主力资金流向、大小单、技术指标等行情数据,支持自然语言问句输入,返回相关行情数据结果。当用户询问股票价格、ETF行情、指数行情、涨跌幅、成交量、资金流向、技术指标等行情数据查询问题时,必须使用此技能。

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/cli.py`).

It sits in Business, Finance & HR, covering Stock and market analysis. The repository describes itself as: 金融知识学习整理,知识来源包括行业书籍、财新周刊、前沿论文、法律法规等. The licence is MIT.

When your agent uses it

  • Tasks that involve Stock and market analysis

Example prompts

  • “/hithink-market-query”

Requirements

  • Python 3
  • A credential in IWENCAI_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 28bc9ee. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • curl
    • openssl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • openapi.iwencai.com

    Also links to:

    • iwencai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • IWENCAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hithink Market Query loads about 2k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 321 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from hiboys/ExploreFinance at commit 28bc9ee, republished under its MIT licence (© hiboys). 321 words, ~1,959 tokens.

Download SKILL.mdSave it as .claude/skills/hithink-market-query/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
hithink-market-query
description
获取股票、ETF、指数等实时价格、涨跌幅、成交量、主力资金流向、大小单、技术指标等行情数据,支持自然语言问句输入,返回相关行情数据结果。当用户询问股票价格、ETF行情、指数行情、涨跌幅、成交量、资金流向、技术指标等行情数据查询问题时,必须使用此技能。
license
Complete terms in LICENSE.txt

问财行情数据 使用指南

版本

1.0.0(与 X-Claw-Skill-Version 保持一致)

技能概述

本技能提供行情数据查询能力,支持:

  • 股票实时价格、涨跌幅、涨跌额
  • 成交量、成交额、换手率
  • 主力资金流向、大单小单、主力净流入
  • 技术指标(MACD、KDJ、RSI、布林线等)
  • ETF 行情数据
  • 指数行情数据(上证指数、沪深300、创业板指等)
  • 支持自然语言问句输入,返回相关行情数据结果

数据来源:同花顺问财(https://www.iwencai.com/unifiedwap/chat)

使用前

首次使用 - 获取 API Key 所有技能都需要 IWENCAI_API_KEY 环境变量才能使用。 如果用户尚未配置,按以下步骤引导:

步骤 1:获取 API Key 在浏览器内打开同花顺i问财SkillHub页面:https://www.iwencai.com/skillhub

步骤 2:登录

步骤 3:点击具体的Skill,打开弹窗查看详情,在安装方式-Agent用户-找到您的IWENCAI_API_KEY这一段,复制

步骤 4:配置环境变量 获取到 API Key 后,直接复制指引文字发送给AI助手,或手动设置环境变量:

跨平台环境变量设置

macOS / Linux (bash / zsh):

bash
export IWENCAI_API_KEY="your-api-key"

Windows (PowerShell):

powershell
$env:IWENCAI_API_KEY="your-api-key"

Windows (CMD):

cmd
set IWENCAI_API_KEY=your-api-key

核心处理流程

步骤 1: 接收用户 Query

接收用户的自然语言查询请求,分析用户意图,识别行情数据相关查询类型:

  • 股票价格/涨跌幅查询
  • 成交量/资金流向查询
  • 技术指标/ETF行情查询
步骤 2: Query 改写

将用户问句适当改写为标准的金融查询问句,保持原意不变:

改写规则:

  • 保留用户核心意图(如:股票价格、涨跌幅、成交量等)
  • 将口语化表达转为标准金融术语
  • 适当简化过于复杂的复合条件
  • 改写后需保持原意不变

常用查询改写示例:

用户原始问句改写后查询
同花顺今天多少钱同花顺最新价格
主力资金流向怎么样主力资金流向
上证指数行情如何上证指数行情
MACD金叉的股票MACD金叉
步骤 3: API 调用

调用问财 OpenAPI 网关获取数据,使用 scripts/cli.py CLI 或直接在 skill 逻辑中构造 HTTP 请求。所有发往网关的请求必须严格携带以下 Header:

Header取值说明
AuthorizationBearer <API Key>,API Key 仅从环境变量 IWENCAI_API_KEY 读取
Content-Typeapplication/json
X-Claw-Call-Typenormal(正常请求)或 retry(失败后的重试)
X-Claw-Skill-Idhithink-market-query(与 skill name 一致)
X-Claw-Skill-Version1.0.0(与本文档版本一致)
X-Claw-Plugin-Idnone
X-Claw-Plugin-Versionnone
X-Claw-Trace-Id每次请求必须新生成的 64 字符全局唯一追踪 ID(推荐 secrets.token_hex(32))

请求体示例:

json
{
  "query": "改写后的查询语句",
  "page": "1",
  "limit": "10",
  "is_cache": "1",
  "expand_index": "true"
}

Python 调用示例(含 Claw Headers):

python
import os
import json
import secrets
import urllib.request

url = "https://openapi.iwencai.com/v1/query2data"
api_key = os.environ["IWENCAI_API_KEY"]
trace_id = secrets.token_hex(32)  # 64 字符唯一 ID

payload = {
    "query": "同花顺最新价格",
    "page": "1",
    "limit": "10",
    "is_cache": "1",
    "expand_index": "true"
}

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
    "X-Claw-Call-Type": "normal",
    "X-Claw-Skill-Id": "hithink-market-query",
    "X-Claw-Skill-Version": "1.0.0",
    "X-Claw-Plugin-Id": "none",
    "X-Claw-Plugin-Version": "none",
    "X-Claw-Trace-Id": trace_id,
}

data = json.dumps(payload).encode("utf-8")
request = urllib.request.Request(url, data=data, headers=headers, method="POST")
response = urllib.request.urlopen(request, timeout=30)
result = json.loads(response.read().decode("utf-8"))

# 解析返回数据
datas = result.get("datas", [])           # 当前页数据列表
code_count = result.get("code_count", 0)  # 符合条件的总记录数
chunks_info = result.get("chunks_info", {})  # 查询字句信息

# 分页提示:如果 code_count > len(datas),通过增加 page 参数翻页

注意: 默认返回 10 条数据,但符合条件的总数可能更多,需关注 code_count 字段并通过分页获取全部数据。

步骤 4: 空数据处理

如果 datas 为空或无数据,适当放宽或简化查询条件后重新请求(最多尝试 2 次):

  • 首次重试:去掉过于苛刻的条件,保留核心查询条件
  • 二次重试:进一步放宽条件或使用更通用的表述

每次重试都算作一次改写,最终返回时需说明最终使用的查询问句。

步骤 5: 数据解析

解析返回的 datas 数组,提取相关指标:

python
for item in datas:
    code = item.get("股票代码")       # 如 "300033.SZ"
    name = item.get("股票简称")       # 如 "同花顺"
    # 其他字段根据查询类型而定,如最新价、涨跌幅、成交量等
步骤 6: 数据扩展决策

skill 需要自行决策当前数据是否足够回答用户问题:

  • 如果数据完整:直接返回格式化后的结果且保证表格数据正确解析为表格展示
  • 如果需要更多背景信息:可以调用其他金融工具或者搜索工具获取相关资讯
步骤 7: 回答用户

组织语言回答用户问题,确保:

  • 结果清晰易懂
  • 如果改写了问句,需特别说明最终使用的查询问句
  • 必须强调数据来源于同花顺问财

请求参数

参数名类型必填说明
querySTRING是用户问句
pageSTRING否分页参数,默认值:1
limitSTRING否分页参数,默认值:10
is_cacheSTRING否缓存参数,默认值:1
expand_indexSTRING否是否展开指数,默认值:true

响应参数

参数名类型说明
datasARRAY金融数据列表,对象数组,每个对象包含股票代码、股票简称、最新价、涨跌幅等字段
code_countINT符合查询条件的总记录数量(注意:可能大于当前返回的 datas 条数)
chunks_infoOBJECT用户问句查询返回的字句信息,包含查询条件的解析结果

响应示例:

json
{
  "datas": [
    {
      "股票代码": "300033.SZ",
      "股票简称": "同花顺",
      "最新价": "120.50",
      "涨跌幅": "2.35%"
    }
  ],
  "code_count": 5236,
  "chunks_info": {
    "query": "同花顺最新价格",
    "parsed_conditions": ["同花顺", "最新价格"]
  }
}

重要提示:

  • datas 默认只返回 10 条数据(可通过 limit 参数调整)
  • code_count 表示符合条件的总记录数,可能远大于 datas 的长度
  • 当 code_count > len(datas) 时,需要通过 page 参数翻页获取更多数据
  • 返回的表格数据需要解析 datas 数组中的对象字段

CLI 使用方式

本 skill 提供跨平台 CLI 脚本 scripts/cli.py,基于 Python 3 标准库实现,无第三方依赖。

命令行参数
参数类型必填说明
--querySTRING是直接传入查询字符串
--pageSTRING否分页参数,值必须为正整数,默认值:1
--limitSTRING否每页条数,值必须为正整数,默认值:10
--api-keySTRING否API 密钥(默认从环境变量读取)
--call-typeSTRING否调用类型:normal(正常请求)或 retry(重试请求),默认值:normal
--timeoutINT否请求超时时间(秒),默认值:30
使用示例
bash
# 查询股票最新价格
python3 scripts/cli.py --query "同花顺最新价格"

# 查询主力资金流向
python3 scripts/cli.py --query "主力资金流向"

# 查询上证指数行情
python3 scripts/cli.py --query "上证指数行情"

# 翻页查询
python3 scripts/cli.py --query "股票行情" --page 2 --limit 20

# 重试请求(放宽条件后使用 retry 标记)
python3 scripts/cli.py --query "同花顺最新价格" --call-type "retry"

# 指定超时时间(复杂查询可适当增加)
python3 scripts/cli.py --query "同花顺最新价格" --timeout 60
curl 示例(脱敏)
bash
curl -X POST "https://openapi.iwencai.com/v1/query2data" \
  -H "Authorization: Bearer $IWENCAI_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-Claw-Call-Type: normal" \
  -H "X-Claw-Skill-Id: hithink-market-query" \
  -H "X-Claw-Skill-Version: 1.0.0" \
  -H "X-Claw-Plugin-Id: none" \
  -H "X-Claw-Plugin-Version: none" \
  -H "X-Claw-Trace-Id: $(openssl rand -hex 32)" \
  -d '{
    "query": "同花顺最新价格",
    "page": "1",
    "limit": "10",
    "is_cache": "1",
    "expand_index": "true"
  }'

Windows (PowerShell) 等价示例:

powershell
$bytes = New-Object byte[] 32; [System.Security.Cryptography.RandomNumberGenerator]::Create().GetBytes($bytes); $traceId = -join ($bytes | ForEach-Object { $_.ToString("x2") })
Invoke-RestMethod -Uri "https://openapi.iwencai.com/v1/query2data" -Method POST -Headers @{
  "Authorization" = "Bearer $env:IWENCAI_API_KEY"
  "Content-Type" = "application/json"
  "X-Claw-Call-Type" = "normal"
  "X-Claw-Skill-Id" = "hithink-market-query"
  "X-Claw-Skill-Version" = "1.0.0"
  "X-Claw-Plugin-Id" = "none"
  "X-Claw-Plugin-Version" = "none"
  "X-Claw-Trace-Id" = $traceId
} -Body '{"query":"同花顺最新价格","page":"1","limit":"10","is_cache":"1","expand_index":"true"}'

数据来源标注

重要提示:

错误处理

  • 密钥缺失(环境变量未设置且未传 --api-key): 代理必须口头提示用户「使用前」中的完整 API Key 获取指引文案,即:

    首次使用 - 获取 API Key 所有技能都需要 IWENCAI_API_KEY 环境变量才能使用。 如果用户尚未配置,按以下步骤引导:

    步骤 1:获取 API Key 在浏览器内打开同花顺i问财SkillHub页面:https://www.iwencai.com/skillhub

    步骤 2:登录

    步骤 3:点击具体的Skill,打开弹窗查看详情,在安装方式-Agent用户-找到您的IWENCAI_API_KEY这一段,复制

    步骤 4:配置环境变量 获取到 API Key 后,直接复制指引文字发送给AI助手,或手动设置环境变量:

  • 无数据返回:引导用户访问同花顺问财(https://www.iwencai.com/unifiedwap/chat)。

  • 最多重试 2 次逐步放宽条件(重试时 X-Claw-Call-Type 改为 retry)。

代码结构

hithink-market-query/
├── SKILL.md              # Skill 配置文件
├── LICENSE.txt           # 许可证文件
└── scripts/
    └── cli.py            # CLI 入口(单一脚本,内含 API 调用和数据处理)

© hiboys, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in .claude/skills/hithink-market-query of hiboys/ExploreFinance.

  • SKILL.md
  • LICENSE.txt
  • scripts/cli.py

Open the folder on GitHubat commit 28bc9ee

Compare with similar skills

Hithink Market Query 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.

Hithink Market Query compared with similar skills
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Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Longbridge Researchhelsome/folio2713 repos~2.1kAutomated safety check: PassMIT

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    金融领域的可比公司分析工具,通过行业分析法对目标公司与可比公司整合经营指标、估值倍数和统计基准比较。目前仅支持A股上市公司分析。输入单一公司问句后,调用可比公司接口并生成主题化Excel报告。适用于快速对比目标公司与同业在经营、财务、估值维度的差异。

    365 GitHub stars~455 tokensUpdated 3 mo ago
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  • Etf Capital Flow Analysis

    hiboys/ExploreFinance

    ETF 资金流深度分析工作流。基于东方财富妙想数据,对宽基/行业 ETF 的净流入、主力流向、申购赎回分歧进行量化分析, 识别拥挤度风险与资金真实意图。适用于 ETF 择时、板块轮动验证、卖方研报交叉核验。

    365 GitHub stars~950 tokensUpdated 3 mo ago
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  • Fund Diagnosis

    hiboys/ExploreFinance

    面向公募基金的单基金综合诊断能力。适用于用户提出“这只基金怎么样”“适不适合继续持有”“风险和收益特征如何”等泛化问题时,返回结构化的Markdown诊断报告。每次仅分析一只基金,不处理多基金对比与量化建模。触发核心条件:用户问法为概括性诊断,未要求具体指标公式计算或回测建模。

    365 GitHub stars~527 tokensUpdated 3 mo ago
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  • Hithink Industry Query

    hiboys/ExploreFinance

    查询行业估值、财务、盈利、行情、板块排名等数据,支持自然语言问句输入,返回相关行业数据结果。当用户询问行业数据、行业估值、行业排名、行业财务、行业盈利、行业行情、板块排名等行业相关问题时,必须使用此技能。

    365 GitHub stars~1.9k tokensUpdated 3 mo ago
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Questions about Hithink Market Query

What does Hithink Market Query do?

获取股票、ETF、指数等实时价格、涨跌幅、成交量、主力资金流向、大小单、技术指标等行情数据,支持自然语言问句输入,返回相关行情数据结果。当用户询问股票价格、ETF行情、指数行情、涨跌幅、成交量、资金流向、技术指标等行情数据查询问题时,必须使用此技能。. Hithink Market Query is an agent skill from hiboys/ExploreFinance.

When should I use Hithink Market Query?

Hithink Market Query fits situations like: tasks that involve Stock and market analysis.

How do I install Hithink Market Query in Claude Code?

Run `npx skills add hiboys/ExploreFinance --skill hithink-market-query -a claude-code`. Or copy the skill folder (.claude/skills/hithink-market-query in hiboys/ExploreFinance) into .claude/skills/hithink-market-query in your project. Claude Code loads it when a task matches its description.

How do I install Hithink Market Query in Codex?

Run `npx skills add hiboys/ExploreFinance --skill hithink-market-query -a codex`. Or copy the skill folder (.claude/skills/hithink-market-query in hiboys/ExploreFinance) into .agents/skills/hithink-market-query in your project. Codex loads it when a task matches its description.

Can I use Hithink Market Query 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 hiboys/ExploreFinance --skill hithink-market-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hithink-market-query, .gemini/skills/hithink-market-query, .github/skills/hithink-market-query and .opencode/skills/hithink-market-query in your project.

What does Hithink Market Query need to run?

Going by SKILL.md and its folder, Hithink Market Query needs Python for the scripts in its folder, the command-line tools its instructions call (python3, curl and openssl) and credentials named IWENCAI_API_KEY. Our summary lists: Python 3; A credential in IWENCAI_API_KEY.

Does Hithink Market Query access the network?

SKILL.md names 2 domains. In commands or code: openapi.iwencai.com; the agent is likely to contact it when it follows the instructions. As links in the text: iwencai.com. This is read from the text; nothing was executed.

Is Hithink Market Query 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Hithink Market Query use?

Hithink Market Query is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hithink Market Query use?

About 2k tokens (SKILL.md is roughly 7.8k 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 Hithink Market Query?

Skills that share tags, products or a category with Hithink Market Query: 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 Hithink Market Query?

hiboys (a GitHub user) maintains it in hiboys/ExploreFinance, which has 365 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on June 17, 2026.

Source: hiboys/ExploreFinance on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.