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zhihu-search-api-skillzhihu 搜索 API 技能

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

5,866

周安装

235

GitHub Stars

公开资料未说明

下载量

1,899
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:zhihu-search-api-skill(zhihu 搜索 API 技能)
来源仓库:https://github.com/browseract-ai/zhihu-search-api-skill
安装命令:
openclaw skills install zhihu-search-api-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install zhihu-search-api-skill

简介

zhihu-search-api-skill 用于通过 BrowserAct API 提取知乎结构化文章内容。

  • 适合在 OpenClaw 中需要让 Agent 自动获取知乎文章详情和内容时使用。
  • 通过 clawhub 安装,结合来源仓库和 README 可核验具体用法。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网或数据读取。
  • 使用时需注意接口调用限制,避免高频请求导致服务不可用。

SKILL.md

name
zhihu-search-api-skill
description
This skill helps users automatically extract structured article details and full content from Zhihu via the BrowserAct API. Agent should proactively apply this skill when users express needs like: searching for Zhihu articles on a specific topic, tracking industry trends on Zhihu, monitoring public relations or sentiment on Zhihu, collecting competitor updates, getting the latest reports on specific keywords, monitoring brand exposure in Zhihu media, researching market hot topics, summarizing daily Zhihu industry news, retrieving hot events from the past week, extracting structured data for market research, finding full Zhihu articles for AI agents, extracting full article body from Zhihu links.
metadata
{"clawdbot":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACT_API_KEY"]}}}

Zhihu Search API Automated Extraction Skill

📖 Brief

This skill uses BrowserAct's Zhihu Search API template to provide a one-stop article extraction service. It extracts structured article details and full content from Zhihu article search results based on keywords and publication date filters.

✨ Features

  1. No hallucinations, ensuring stable and precise data extraction: Pre-set workflows avoid AI generative hallucinations.
  2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP access restrictions and geo-fencing: No need to deal with regional IP limits.
  4. Faster execution speed: Compared to pure AI-driven browser automation solutions, task execution is much faster.
  5. Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens.

🔑 API Key Guide

Before running, you need to check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions; wait for the user to provide it. The Agent must inform the user at this time:

"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console first to get your Key."

🛠️ Input Parameters

The Agent should flexibly configure the following parameters according to user needs when calling the script:

  1. keyword (Search Keywords)

- Type: string - Description: Search keywords used to find Zhihu articles. Can be company name, industry term, etc. - Example: AI agent, openclaw

  1. Publish_date (Publication Date Range)

- Type: string - Description: Filter articles by publication date. - Options: - 7d: Past 7 days - 30d: Past 30 days - 90d: Past 90 days - 1y: Past year - all: Any time - Default: 7d

  1. Date_limit (Extraction Limit)

- Type: number - Description: Maximum number of articles to extract. - Default: 10

🚀 Recommended Usage

The Agent should execute the following independent script to achieve "one command gets results":

# Example call
python -u ./scripts/zhihu_search_api.py "keyword" "Publish_date" limit

⏳ Execution Status Monitoring

Because this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps (e.g., [14:30:05] Task Status: running) while running. Agent Must Know:

  • While waiting for the script to return a result, keep monitoring the terminal output.
  • As long as the terminal is still outputting new status logs, it means the task is running normally, do not mistake it for a deadlock or unresponsiveness.
  • If the status remains unchanged for a long time or the script stops outputting without returning a result, then consider triggering the retry mechanism.

📊 Data Output

Upon successful execution, the script will directly parse and print the result from the API response. The result includes:

  • title: Full article title
  • body_content: Full body content of the article
  • image_url: Main image URL or article cover image URL
  • author: Article author or publishing account name
  • publication_date: Article publication date
  • url_link: Original article URL

⚠️ Error Handling & Retry

During the execution of the script, if an error is encountered (such as network fluctuations or task failure), the Agent should follow this logic:

  1. Check the output content:

- If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry at this time, and guide the user to check and provide the correct API Key. - If the output does not contain "Invalid authorization" but the task execution fails (for example, the output starts with Error: or the return result is empty), the Agent should automatically try to execute the script once more.

  1. Retry limits:

- Automatic retry is limited to one time. If the second attempt still fails, stop retrying and report the specific error information to the user.

🌟 Typical Use Cases

  1. Industry Trend Tracking: Find the latest industry dynamics on specific topics like "low-altitude economy" or "generative AI" on Zhihu.
  2. Public Relations Monitoring: Monitor the media exposure of a specific brand or company on Zhihu over the past 30 days.
  3. Competitor Intelligence Gathering: Collect recent product information or market activities published by competitors on Zhihu.
  4. Market Hotspot Research: Get popular Zhihu reports on specific keywords across different time dimensions.
  5. Character Dynamics Tracking: Retrieve the latest Zhihu articles and interviews of industry leaders or public figures.
  6. Daily Briefing Summary: Automatically extract and summarize daily industry news briefings from Zhihu.
  7. Global Event Monitoring: Real-time access to major breaking news and discussions on Zhihu.
  8. Structured Data Extraction: Extract structured information such as article titles, authors, and links from Zhihu for market research analysis.
  9. Media Exposure Analysis: Evaluate the spread and popularity of a specific project or event on Zhihu.
  10. Long-term Thematic Research: Retrieve in-depth reports and discussions on a specific technical topic from the past year.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.28%
按下载量换算1,354

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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