agentCLAWHUBUnverified

tushare

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... Skill: tushare Owner: lidayan Summary: 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... Tags: latest:1.1.19 Version history: v1.1.19 | 2026-07-09T00:42:05.696Z | auto No changes detected in this release. - Version number updated to 1.1.19. - No code or documentation changes compared to previous version. v1.

OpenClaw

Rank

62

Safety

84

Downloads

18k

Updated

Oct 9, 2026

Version

1.1.19

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 17.6K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
17.6K downloadsadoption · observed Oct 9, 2026
Latest release
1.1.19release · observed Jul 9, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s177n860dvjfr1g8bv4e74amn983gv0h:tushare-data
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-lidayan-tushare-data/snapshot"

Documentation

CLAWHUB

152,724 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: tushare
slug: tushare-data
description: 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。
author: tushare.pro
version: 1.1.16
credentials:
  - name: TUSHARE_TOKEN
    description: Tushare Token,用于认证和授权访问Tushare数据服务。
    how_to_get: "https://tushare.pro/register"
requirements:
  python: 3.7+
  packages:
    - name: tushare
  environment_variables:
    - name: TUSHARE_TOKEN
      required: false
      sensitive: true
  network_access: true
---

# tushare-data

把自然语言财经数据请求,转成可执行的 Tushare 数据工作流。

这是一个面向自然语言的金融数据研究 skill。


## What this skill is for

使用这个 skill 的典型场景:

- 看某只股票、指数、ETF 最近走势
- 查公司基本资料、估值、财务趋势
- 做多标的横向对比
- 看资金流、北向资金、龙虎榜、板块强弱
- 梳理公告、新闻、研报、政策线索
- 查看 CPI / PPI / PMI / 社融 / 利率等宏观数据
- 导出 CSV / parquet 供后续分析或回测使用
- 生成简洁研究摘要,而不是只吐原始字段表

先理解用户要解决什么问题,再去选接口、取数、整理、解释、交付。

***

## When to use

当用户表达以下意图时,优先使用本 skill:

### 行情 / 趋势

- 看下 XX 最近怎么样
- XX 这段时间涨得怎么样
- 今年以来表现如何
- 最近有没有放量
- 这票最近强不强

### 财务 / 估值 / 公司质量

- 看下 XX 财报
- 最近几个季度利润趋势
- 财务质量怎么样
- 现金流好不好
- 现在估值算高吗
- 帮我看 PE / PB / ROE / 毛利率

### 对比 / 排行 / 筛选

- XX 和 YY 谁更强
- 帮我横向比较一下
- 哪些公司利润增长更快
- 帮我筛一下高 ROE 低负债
- 给我排个前十

### 板块 / 指数 / 主题

- 最近哪个板块最强
- 半导体最近怎么样
- 机器人为什么涨
- 指数成分股有哪些
- 哪些主题最热

### 资金流 / 情绪

- 最近资金在买什么
- 北向资金最近流向哪里
- 哪个板块最吸金
- 主力资金流入最多的是谁
- 龙虎榜上有什么看点

### 公告 / 新闻 / 研报 / 政策

- 最近有什么公告
- 帮我梳理下 XX 公告
- 最近有没有什么催化
- 最近新闻面怎么样
- 最近有什么重要政策

### 宏观 / 跨市场

- 最近宏观环境怎么样
- CPI / PMI 最近怎么看
- 当前市场风格偏什么
- 大盘环境偏多还是偏空
- 港股 / 美股 / 美债最近怎么样

### 数据导出 / 研究准备

- 给我导出一份行情数据
- 把近两年日线拉成 CSV
- 生成可回测的数据表
- 拉一个研究表供后续分析

***

## What this skill is NOT for

这个 skill 不适合:

- 直接给买卖建议或替代投资顾问
- 自动下单或执行交易
- 需要毫秒级实时交易决策的场景
- 复杂回测引擎、组合优化系统本身的实现(那是另一个工程)
- 在没有 Tushare 权限/积分支持的情况下强行伪造数据

如果数据权限不够、接口不可用或时间范围不合理,要明确说出限制,不要硬编。

***

## Natural-language trigger guide

即使用户完全不说 `tushare`、`financials`、`macro` 这些术语,只要意图符合以下含义,也应该触发本 skill。

### 常见口语触发

- 看看这个股票最近怎么样
- 给我快速研究一下 XX
- 上次说的那只票现在什么情况
- 帮我看下财报
- 最近哪个板块最强
- 北向最近在买什么
- 有什么催化消息
- 这个公司值不值得重点看
- 给我拉份数据
- 导出成 CSV
- 帮我筛一批票
- 把这几个公司对比一下

### 中文自然语言优先原则

用户说人话时,先理解任务,不要先回到接口名和字段名。
优先把:

- “最近” 解释成合理时间窗
- “财报” 解释成最近 8 个季度 / 最近年度
- “强不强” 解释成走势 + 相对强弱 + 活跃度
- “资金关注” 解释成净流入、活跃成交、龙虎榜/北向等可用口径

如果任务有多个合理解释,再做最小澄清。

***

## Environment check

在真正请求数据之前,先做前置校验:

1. 检查 Python 是否可用, 版本要求 3.7+
2. 检查 `tushare` 包是否已安装·
3. 检查 `TUSHARE_TOKEN` 是否存在.
4. 必要时做一次轻量接口冒烟测试(如交易日历 / 基础接口)
5. 如用户请求高权限接口,提前提示可能存在积分/权限限制

若缺失 token,直接提示最短修复路径,例如:

```bash
export TUSHARE_TOKEN=your_token
```

不要等到主查询跑失败了才暴露环境问题。

***

## Intent taxonomy

先识别任务类型,再决定接口组合。

### 1. 行情 / 趋势

典型问题:

- 最近走势怎么样
- 今年涨了多少
- 最近波动大不大
- 最近有没有放量

常用接口:

- `daily`
- `pro_bar`
- `weekly`
- `monthly`
- `stk_mins`
- `rt_k` / `rt_min`(如确需实时口径且权限允许)
- `daily_basic`

### 2. 基本资料 / 标的识别

典型问题:

- 这是什么公司 / 什么指数 / 什么基金
- 是创业板吗 / 是 ST 吗 / 什么时候上市

常用接口:

- `stock_basic`
- `fund_basic`
- `index_basic`
- `stock_company`
- `stock_st` / `st`

### 3. 财务 / 公司质量

典型问题:

- 最近几个季度利润趋势
- 最近几个季度营收和净利润趋势
- 财务质量怎么样
- ROE / 毛利率 / 现金流如何

常用接口

_meta.json

{
  "ownerId": "kn70zya1kw0k7m0ejsxm94f64x824jm4",
  "slug": "tushare-data",
  "version": "1.1.19",
  "publishedAt": 1783557725696
}

references/数据接口.md

# 接口列表

根据需求确定接口,然后访问在线链接,读取具体的使用说明,比如入参,出参等。

| 在线文档                                        | 接口名                | 标题               | 分类                 | 描述                                                                                                                                                                                                       |
|:--------------------------------------------|:-------------------|:-----------------|:-------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| https://tushare.pro/wctapi/documents/386.md | etf_index          | ETF跟踪指数          | ETF专题              | 获取ETF基准指数列表信息                                                                                                                                                                                            |
| https://tushare.pro/wctapi/documents/472.md | etf_sz_cons        | 每日篮子组合(深市PCF)    | ETF专题              | 获取深交所场内所有ETF每日盘前披露的一篮子组合信息,包括成分股票数量、申赎现金折溢价比例等数据                                                                                                                                                         |
| https://tushare.pro/wctapi/documents/471.md | etf_sh_cons        | 每日篮子组合(沪市PCF)    | ETF专题              | 获取上交所场内所有ETF每日盘前披露的的一篮子组合信息,包括成分股票数量、申赎现金折溢价比例等数据                                                                                                                                                        |
| https://tushare.pro/wctapi/documents/470.md | rt_etf_min_daily   | ETF实时分钟-日累计      | ETF专题              | 获取ETF实时分钟数据日累计,包括1~60min                                                                                                                                                                                 |
| https://tushare.pro/wctapi/documents/460.md | idx_anns           | 指数公司公告           | ETF专题              | 获取指数公司披露的相关公告信息,包括中证指数、国证指数、恒生指数和华证指数的及时与历史公告信息,跟踪指数最新信息和发展方向。                                                                                                                                           |
| https://tushare.pro/wctapi/documents/454.md | rt_etf_sz_iopv     | ETF实时参考          | ETF专题              | ETF实时净值和申购赎回数据参考,目前只提供深市                                                                                                                                                                                 |
| https://tushare.pro/wctapi/documents/416.md | rt_etf_min         | ETF实时分钟          | ETF专题              | 获取ETF实时分钟数据,包括1~60min                                                                                                                                                                                    |
| https://tushare.pro/wctapi/documents/408.md | etf_share_size     | ETF份额规模          | ETF专题              | 获取沪深ETF每日份额和规模数据,能体现规模份额的变化,掌握ETF资金动

skill-card.md

## Description:

tushare turns Chinese natural-language financial data requests into Tushare workflows for data retrieval, cleaning, comparison, filtering, export, and brief analysis across equities, indexes, ETFs, funds, financials, valuation, capital flows, disclosures, news, sectors, themes, and macro data.

This skill is ready for commercial/non-commercial use.

## Publisher:

[lidayan](https://clawhub.ai/user/lidayan)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to turn Chinese-language financial research requests into Tushare data pulls, concise market summaries, comparison tables, and CSV or parquet exports. It is intended for research workflows over market, company, fund, news, sector, capital-flow, and macroeconomic data, not for trading execution or personalized investment advice.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill uses a Tushare token and makes network calls to Tushare.

Mitigation: Install and run it only when sharing that token with the agent and allowing Tushare network access is acceptable.

Risk: Broad data pulls or exports can write large local CSV or parquet files.

Mitigation: Review requested ranges and output locations before running broad exports, and require explicit instructions before writing local data files.

Risk: Financial summaries can be mistaken for investment advice.

Mitigation: Use the skill for data research and summaries, and keep trading decisions or advisory conclusions outside the skill's scope.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/lidayan/skills/tushare-data)
- [Tushare token registration](https://tushare.pro/register)
- [Tushare API interface list](references/数据接口.md)

## Skill Output:

**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]

**Output Format:** [Markdown summaries with optional tables, Python snippets, shell commands, and CSV or parquet file paths]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include local data exports and retrieval metadata such as interface name, request parameters, pull time, row count, field list, and failed segments.]

## Skill Version(s):

1.1.19 (source: server-resolved release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data

The same record, as JSON, for agents and crawlers.

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  ]
}

Record generated Oct 9, 2026.

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