wenxian

The 'wenxian' skill is an enterprise-grade automation workflow designed for researchers to monitor specific scientific domains such as MDRGNB or HCC. By integrating PubMed search, structured metadata extraction (including JCR and Chinese Academy of Sciences journal quartiles), and multi-platform notification capabilities, it streamlines the 'search-synthesize-deliver' pipeline. It is ideal for academics and research teams needing daily, weekly, or monthly digests delivered directly to Feishu, WeCom, QQ, or Telegram. The skill employs intelligent PubMed query expansion, automated quality filtering, and historical backfilling to ensure robust, consistent output.

• Automated cron-based scheduling for daily, weekly, or monthly literature updates.

• Advanced metadata enrichment using EasyScholar API and local merged databases for SCI/JCR and CAS journal partitions.

• Intelligent PubMed query generation with support for MeSH terms, synonym expansion, and clinical context constraints.

• Structured summarization featuring 10-point breakdowns, four-dimensional scoring (innovation, clinical value, etc.), and evidence grading.

• Multi-channel delivery support for Feishu, WeCom, QQbot, and Telegram with automatic long-text chunking and segment markers.

• Sample coverage validation and backfilling mechanisms to prevent data gaps in weekly and monthly reports.

• Users should input natural language commands such as 'Help me push literature on HCC to Feishu every day at 08:00'.

• Requires local configuration of PubMed API keys and EasyScholar secret keys for full functionality.

• Designed for isolated session environments to ensure secure cron task execution.

• Outputs provide detailed provenance for all journal metrics and metadata, ensuring transparent and verifiable reporting.

• Employs strict data handling protocols for sensitive API credentials, ensuring no hardcoding in the repository.