zhihu-hot-cn

What This Skill Does

The zhihu-hot-cn skill provides a sophisticated interface for monitoring the Zhihu hot topics list, often referred to as the Chinese version of Quora. This skill enables users to programmatically fetch, filter, and analyze real-time trending questions and discussions from Zhihu. Beyond simple data retrieval, it includes tools for trend comparison and identifying persistent topics that remain on the leaderboard over multiple days. The skill supports multiple output formats, including standard text for quick reading and structured JSON for integration into automated pipelines or custom dashboards.

Installation

To integrate this skill into your OpenClaw agent, execute the following command in your terminal:

clawhub install openclaw/skills/skills/guohongbin-git/zhihu-hot-cn

Ensure that your OpenClaw environment is updated to the latest version to ensure full compatibility with the script execution features provided by this skill.

Use Cases

1. Content Creators: Quickly identify trending intellectual topics to generate timely articles or video scripts that align with current public interest.
2. Market Researchers: Track emerging discussions around specific technology or financial keywords to understand shifting sentiment and user concerns.
3. Public Opinion Monitoring: Use the trend analysis tools to maintain awareness of how specific brands or industries are being discussed within the professional community.
4. Automated Digest Generation: Integrate the JSON output into a daily newsletter or slack bot to keep team members informed without manual platform browsing.

Example Prompts

1. "Check the current Zhihu hot list and summarize the top 3 tech-related trends."
2. "Compare today's hot topics with yesterday's data to see which questions have dropped off the list."
3. "Find all finance-related questions that have been on the Zhihu hot list for at least 3 consecutive days."

Tips & Limitations

This skill relies on open-source community-maintained data sources rather than official APIs. Consequently, updates may occasionally be delayed by up to one hour depending on the sync rate of the source repository. When processing large datasets, ensure you use the --limit flag to manage memory usage effectively. Always treat the 'hotness' values as relative metrics rather than absolute source-of-truth data, as they are derived from aggregate interaction signals.