Access Zhihu hot lists, questions, answers, topics, and profiles via cookie-based authentication.
npx skills add https://github.com/sigcli/sigcli --skill zhihu-sigcli
Please help me install this Agent Skill. Skill: zhihu Source: https://github.com/sigcli/sigcli/tree/main/skills/zhihu Command: npx skills add https://github.com/sigcli/sigcli --skill zhihu-sigcli
Zhihu data access and discovery for AI agents: fetch hot questions, read answers, search topics, and view user profiles across zhihu.com, enabling automated content gathering without manual browsing.
Run a quick fetch of hot questions with your Zhihu cookie to see sample results.
High-intent search queries and answers about installing and using this skill.
Scraping Zhihu hot lists and questions requires cookie-based authentication and a parsing layer to normalize question and answer data. The skill uses a zhihu_client to fetch trending questions, answers, and related metadata for automated content gathering.
Searching Zhihu topics and profiles programmatically involves executing search queries across people, topics, and questions. The skill normalizes retrieved member and topic information, providing structured profile data for context and analysis without manual browsing.
Yes, fetching answers and user profiles requires a valid Zhihu cookie for authentication. The skill relies on this cookie access to securely retrieve question details, answers, and profile metadata across zhihu.com.
Retrieving Zhihu question details and answer metadata using Python requests is supported. The skill depends on the requests library to access zhihu.com, applying a parsing layer to normalize the fetched answer data for AI consumption.
Automating Zhihu content discovery without manual browsing is best achieved by fetching hot lists, performing topic searches, and retrieving profiles programmatically. This approach applies a data normalization layer to structure questions, answers, and topics for agents.
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