What problem does it solve?
Manually copying paper titles, authors, journals, and citation counts from CNKI search results is slow and error-prone. This Skill automates the extraction of structured bibliographic data from an open CNKI results page using browser automation.
Core Features & Use Cases
- Structured Extraction: Parses each result row into title, URL, authors, journal, date, database type, citations, downloads, and online-first status.
- Captcha & Page Validation: Verifies the current page is a CNKI results page and alerts the user when a captcha requires manual solving.
- Fallback Parsing: Falls back to accessibility-tree snapshot parsing when the DOM structure changes and JavaScript selectors return empty.
- Use Case: After running a CNKI literature search, ask the agent to extract all 20 results on the page into a numbered list with citation counts for building a literature review.
Quick Start
Parse the current CNKI search results page and list all papers with their authors, journals, and citation counts.