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Install in OpenClaw
/install tonghuashun
Description
提供同花顺公开行情、新闻及公告的实时摘要与热点分布，不涉及交易或账户操作，遵守访问限制和合规要求。
Usage Guidance
This skill appears coherent and low-risk: it only describes scraping public market/news pages and asks for nothing sensitive. Before installing, confirm you are comfortable with the agent fetching external web pages (this can expose the agent's network environment) and that scraping the target site complies with that site's terms of service and any regulatory constraints. Note the package source is listed as "unknown" and registry metadata omitted a top-level homepage even though SKILL.md references https://www.10jqka.com.cn/ — if provenance matters, verify the owner/author and intended site URL. Also ensure you set appropriate rate limits and monitoring so the agent does not unintentionally generate high traffic to the site.
Capability Analysis
Type: OpenClaw Skill
Name: tonghuashun
Version: 0.1.0
The skill bundle contains instructions for an AI agent to retrieve and summarize public financial data from the Tonghuashun website (10jqka.com.cn). It explicitly prohibits trading, account access, and aggressive scraping, focusing solely on legitimate information gathering from public pages. No malicious code or suspicious instructions were found.
Capability Assessment
Purpose & Capability
Name/description (public market/news summaries) match the SKILL.md instructions (visit public pages, extract prices/news/sector data). The skill requests no credentials, binaries, or installs, which is proportionate. Minor metadata inconsistency: registry metadata lists no homepage while SKILL.md includes https://www.10jqka.com.cn/ as the site—this is a small bookkeeping mismatch but does not affect capability.
Instruction Scope
Instructions are narrowly scoped to reading public pages, waiting for dynamic loads, extracting specific fields, and rate-limiting. They explicitly forbid trading/account actions and do not ask the agent to read unrelated files, environment variables, or send data to third-party endpoints beyond the target site.
Install Mechanism
No install spec and no code files — lowest-risk, instruction-only design. There is no download or archive extraction that would write arbitrary code to disk.
Credentials
The skill requires no environment variables, credentials, or config paths. That is proportional for a tool that only scrapes public pages.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or touch other skills' configs. Autonomous invocation is allowed by platform default but is not a flag here by itself.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tonghuashun - After installation, invoke the skill by name or use
/tonghuashun - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
tonghuashun-hot-trend v0.1.0
- Initial release with support for registering and summarizing hot trends from the “同花顺” platform.
- Enables retrieval of public stock/market data, news headlines, key announcements, and sector trends.
- Includes structured outputs for stock prices, volume, news titles/times, and sector heatmaps.
- Adheres to public page access, excludes trading or reverse-engineering capabilities.
- Respects platform usage limits and compliance guidelines.
Metadata
Frequently Asked Questions
What is Tonghuashun?
提供同花顺公开行情、新闻及公告的实时摘要与热点分布，不涉及交易或账户操作，遵守访问限制和合规要求。 It is an AI Agent Skill for Claude Code / OpenClaw, with 834 downloads so far.
How do I install Tonghuashun?
Run "/install tonghuashun" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tonghuashun free?
Yes, Tonghuashun is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tonghuashun support?
Tonghuashun is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tonghuashun?
It is built and maintained by mike47512 (@mike47512); the current version is v0.1.0.
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