Access and manage Weibo data from the terminal via CLI.
npx skills add https://github.com/jackwener/weibo-cli --skill weibo-cli
Please help me install this Agent Skill. Skill: weibo-cli Source: https://github.com/jackwener/weibo-cli/tree/main Command: npx skills add https://github.com/jackwener/weibo-cli --skill weibo-cli
Weibo users and researchers want to access and manage Weibo data from the terminal without a heavy GUI, enabling quick lookups and scripted workflows.
Run the weibo hot command to fetch current hot topics and inspect results.
High-intent search queries and answers about installing and using this skill.
You can fetch Weibo timelines and user profiles from the terminal by running CLI commands that return structured JSON or YAML outputs. This enables scripted workflows and offline analysis without needing a heavy GUI interface.
You can automate monitoring Weibo hot topics for research by running CLI commands to fetch current trends. The tool implements robust error handling and backoff, making it suitable for real-world automated monitoring tasks.
Accessing Weibo data through this CLI requires Python 3.10 or higher. The tool uses this environment to extract browser cookies or implement QR login for secure credential management.
The best way to integrate Weibo search results into AI agent workflows is using CLI commands that output structured JSON or YAML. This allows automated scripts and agents to easily parse hot topics, timelines, and post details.
Credential management for CLI Weibo access works by using a local credential store, extracting browser cookies, or enabling QR login. This ensures safe credential management while accessing timelines and profiles.
Limitations when extracting Weibo post details for offline analysis include potential rate limits, which the tool handles with robust backoff. It requires valid authentication via local credentials or cookies to fetch detailed views successfully.
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