Search Zhihu answers and articles via API and return structured JSON results.
npx skills add https://github.com/Sea-Go/Sea-BreakTheWaves --skill zhihu-search
Please help me install this Agent Skill. Skill: zhihu-search Source: https://github.com/Sea-Go/Sea-BreakTheWaves/tree/main/agent_v2/skills/zhihu-search Command: npx skills add https://github.com/Sea-Go/Sea-BreakTheWaves --skill zhihu-search
Zhihu content discovery is time-consuming and requires consistent data formats. This skill calls Zhihu's search API to retrieve relevant content and returns a standardized JSON payload suitable for agent consumption.
Run a search query with the zhihu-search script to fetch Zhihu results for a topic.
High-intent search queries and answers about installing and using this skill.
Zhihu search results can be returned as structured JSON by querying the search API and normalizing the output. This yields predictable fields like title, url, author_name, summary, vote_up_count, comment_count, and edit_time.
Yes, you can perform keyword-based search across Zhihu answers and articles. The search mechanism retrieves relevant content and returns a standardized JSON payload containing the title, url, author_name, and summary.
The normalized JSON schema for Zhihu content includes title, url, author_name, summary, vote_up_count, comment_count, and edit_time. This predictable structure ensures consistent data formatting for agent consumption.
Yes, authenticating Zhihu API search requests requires a Bearer token. The search functionality supports configurable endpoints and Bearer token authentication to retrieve content successfully.
The best way to feed a summarizer agent is by retrieving Zhihu content via keyword search and passing the standardized JSON payload directly to the agent. This provides quick analysis and grounding data.
outfitter-devAutomate RESTful API calls with Bearer token authentication in Bun environments.
browser-actExtract structured Zhihu article data and full content from search results.
BAIGUANGMEISearch Zhihu content and publish posts via terminal CLI with JSON outputs.
devskaleQuery a SearXNG instance via Python HTTP requests with filters.
