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腾讯自选股数据工具
by
westock-skills
· GitHub ↗
· v1.0.1
· MIT-0
137
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Install in OpenClaw
/install westockdata
Description
查询A股、港股、美股个股/指数/ETF的详细数据，包括：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、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）；以及大盘指数、行业/板块行情、板块成份股、板块区间涨幅排行、指数成份股、热搜、新股日历、投...
Usage Guidance
This skill looks coherent for fetching/analysing stock data, but it relies on running an npm package with 'npx -y', which downloads and executes code at runtime — a meaningful supply-chain and execution risk. Before installing or enabling it: (1) review the npm package source (GitHub) and verify the maintainer; (2) confirm the published integrity/shasum match the package you fetch; (3) if possible, avoid npx -y in sensitive/production environments — instead pre-download and audit the package or run it in an isolated sandbox; (4) consider asking the skill author for a non-executing, API-based integration or for the package source to be vendor-reviewed; (5) if you must use it, run initial tests in a restricted container and consider disabling autonomous invocation for this skill. If you want, I can suggest exact checks to verify the npm package (where to look on the registry/GitHub and how to validate the integrity).
Capability Analysis
Type: OpenClaw Skill
Name: westockdata
Version: 1.0.1
The 'westockdata' skill bundle is a comprehensive financial data analysis tool that interfaces with Tencent's stock data API via the 'westock-data-clawhub' npm package. It provides detailed instructions for the AI agent to perform market research, technical analysis, and financial reporting using 'npx' commands, and it includes proactive security disclosures such as package integrity hashes (sha512) and supply chain risk warnings in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description describe querying A/HK/US market data and the SKILL.md consistently instructs using the npm package westock-data-clawhub to perform those queries and formatting. The documented commands and output formats align with the claimed capability.
Instruction Scope
Runtime instructions direct the agent to run npx -y [email protected] for all queries. The guidance otherwise stays within the data-analysis scope and does not ask the agent to read unrelated local files or credentials. However, instructing npx -y implicitly executes third-party code (network download + run), which goes beyond a pure 'call an API' instruction and increases risk.
Install Mechanism
There is no formal install spec in the registry entry; instead the SKILL.md recommends 'npx -y' which downloads and executes a package from registry.npmjs.org at runtime. That pattern creates a medium–high supply-chain risk: arbitrary code could run in the agent environment. The SKILL.md does include a sha512/shasum and a maintainer note, which is good, but the skill bundle does not enforce integrity verification or provide the package source code for review.
Credentials
The skill does not request environment variables, credentials, or config paths. The data access described (market data) does not appear to require additional secrets, so requested privileges are proportionate.
Persistence & Privilege
always:false (normal). Autonomous invocation is allowed (platform default). While that alone is acceptable, combining autonomous invocation with on-demand execution of an npm package increases the blast radius if the fetched package is malicious or compromised.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install westockdata - After installation, invoke the skill by name or use
/westockdata - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
**v1.0.1 Changelog**
- 更新核心命令所有示例的 `westock-data-clawhub` 版本号至 1.0.4。
- 新增安全说明，详细说明包来源、哈希、供应链风险与审慎建议。
- 明确 `[email protected]` 安全信息，包含 integrity 校验值与发布渠道说明。
- 其余指令结构、接口与功能未改变。
v1.0.0
Initial release – provides comprehensive A/H/U.S. stock and ETF data queries via CLI.
- Supports K-line, minute, financial statements, capital flow, technical indicators, shareholding, dividends, earnings guidance, company profile, ETF data, indices, sector data, IPO/ex-dividend/investment calendars, and more.
- Covers A-shares (Shanghai/Shenzhen/Beijing/STAR), Hong Kong, and U.S. markets with data from Tencent.
- Most query commands support batch queries; notable exceptions include 'search' and 'minute'.
- Unified CLI format, currency handling, and output as Markdown tables for easy data reading.
- Includes quick reference for commands, market code formats, limitations, and common usage scenarios.
Metadata
Frequently Asked Questions
What is 腾讯自选股数据工具?
查询A股、港股、美股个股/指数/ETF的详细数据，包括：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、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）；以及大盘指数、行业/板块行情、板块成份股、板块区间涨幅排行、指数成份股、热搜、新股日历、投... It is an AI Agent Skill for Claude Code / OpenClaw, with 137 downloads so far.
How do I install 腾讯自选股数据工具?
Run "/install westockdata" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 腾讯自选股数据工具 free?
Yes, 腾讯自选股数据工具 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 腾讯自选股数据工具 support?
腾讯自选股数据工具 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 腾讯自选股数据工具?
It is built and maintained by westock-skills (@westock-skills); the current version is v1.0.1.
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