前言

When doing A-share related Q&A in environments such as Cursor and Claude Code, models often lack real-time market data and structured financial data, making it easy to give outdated or overly general answers. If you have to write a script by hand every time to pull data from AkShare, then paste the results to the model, it is costly and hard to reuse. Below we introduce a community Skill on SkillHub, testdsdfds, which encodes “AkShare-based A-share data retrieval” as SKILL instructions that an Agent can follow, making it easy to answer stock queries, market data, financial, and stock-selection questions within a conversation.

这是什么

testdsdfds (coordinate @user_d1b2bd87/test111, version 1.0.0) is a Skill from the SkillHub community source, categorized as professional, maintained by the publisher user_d1b2bd87.

The official description summarizes it as: an A-share quantitative data analysis tool that uses AkShare to obtain A-share market quotes, financial data, sector information, and more, used to answer questions about A-share stock queries, market data, financial analysis, and stock selection. The page tags indicate requires_api_key=false, meaning that by the Skill’s design it does not depend on an additional API Key (specifics still depend on AkShare and the running environment’s requirements for data sources).

SkillHub page: https://www.skillhub.cn/skills/user_d1b2bd87/test111
API entry: https://api.skillhub.cn/user_d1b2bd87/test111

(Fetched metadata: rating 100000, downloads 875, installs 13.)

核心功能

Based on the official description, the verifiable scope of capabilities is as follows:

  1. Market quotes and basic queries: perform market and information queries around A-share targets (data obtained via AkShare).
  2. Financial data: supports scenarios involving retrieval and interpretation of data for financial analysis.
  3. Sector information: can organize or filter information combined with sector dimensions.
  4. Stock selection and comprehensive analysis: for natural-language questions about stock selection, comparison, and simple quantitative analysis, the Agent invokes data capabilities per the Skill’s guidance.

The Skill body follows the general SKILL.md format; specific subcommands and script paths are determined by the SKILL.md inside the installed package. This article does not expand on implementation details not listed on the public pages.

安装与启用

The installation method given by the official page is: let the AI handle it according to the SkillHub installation documentation, and install the coordinate @user_d1b2bd87/test111. The full installation instructions are at: https://skillhub.cn/install/skillhub.md

1. Check or install the SkillHub CLI

First, confirm whether your machine already has skillhub:

command -v skillhub && skillhub --version

If it is not installed, you can run the full installation (CLI + default Skill) according to the official docs:

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash

If you only need the CLI:

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash -s -- --cli-only

2. Install into the current Agent’s skills directory

The official docs emphasize: when installing, you must use --dir to point to the skills directory actually used by the current Agent; otherwise the default path ./skills/ may not be recognized.

skillhub install user_d1b2bd87/test111 --dir <your skills directory>

Common paths (excerpted from the SkillHub installation docs):

  • Cursor: ~/.cursor/skills/
  • Claude Code: ~/.claude/skills/
  • Codex: ~/.codex/skills/ or .agents/skills/ under the project

After installation, restart or refresh the Agent according to your client’s requirements so the new Skill takes effect.

典型用法

The public page does not include fixed CLI examples; the usage is to ask A-share related questions in natural language in a conversation where the Skill is enabled, and the Agent invokes AkShare-related capabilities per SKILL.md. Question types consistent with the description include:

  • Querying a stock’s recent market data or basic information;
  • Pulling and interpreting financial indicators and data related to reports;
  • Filtering by sector or conditions, and performing stock-selection-type analysis.

For first-time use, it is recommended to clearly state the stock code or name, time range, and analysis purpose in your question, so the Agent can select the right AkShare interface. If the running environment cannot access the internet or lacks Python/AkShare dependencies, you will need to set them up locally yourself; the official description does not promise offline or in-sandbox availability by default.

适用场景与注意

Suitable for: developers or quantitative beginners who need to quickly query A-shares within an IDE Agent, perform lightweight financial and sector analysis, and do not want to write AkShare scripts by hand every time.

Notes:

  • Data quality, latency, and interface changes are subject to AkShare and the data sources; the Skill does not replace a compliance-grade investment research workflow.
  • Community source (community); before using it, you can check the version and installation count on SkillHub to assess maintenance activity yourself.
  • Ratings and download counts are platform statistics and change over time; at the time of writing, use the real-time data on the SkillHub page as the reference.

结尾

testdsdfds encapsulates AkShare-driven A-share data capabilities into an Agent Skill, suitable for market, financial, and stock-selection Q&A in environments such as Cursor, Claude Code, and Codex. When installing, remember the coordinate @user_d1b2bd87/test111, and follow https://skillhub.cn/install/skillhub.md to place the package into the corresponding skills directory. For details and updates, see: https://www.skillhub.cn/skills/user_d1b2bd87/test111