literature-report自动科研文献汇报系统。每天自动检索顶级期刊最新论文,AI辅助筛选,生成双语摘要,推送到飞书。使用方法:1. 用户说"设置文献汇报"或"每天推送论文"时激活;2. 用户要求自定义研究主题时激活;3. 用户要求文献检索和推送时激活。
Install via ClawdBot CLI:
clawdbot install ZJUZhiyuCai/literature-reportGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://platform.openai.comUses known external API (expected, informational)
ncbi.nlm.nih.govAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
University researchers use this system to automatically monitor new publications in top journals like Nature and Science, receiving daily bilingual summaries via Feishu to stay updated without manual searching. It helps them quickly identify relevant studies and track trends in their field, saving hours of literature review time.
Pharmaceutical companies employ the skill to scan journals such as Nature Reviews Drug Discovery for latest drug development and clinical trial results, with AI-generated summaries aiding in competitive intelligence and regulatory compliance. This ensures R&D teams access cutting-edge findings efficiently, supporting faster innovation cycles.
Tech firms in materials science or electronics use it to fetch papers from Advanced Materials and Nature Electronics, with summaries helping strategists identify emerging technologies and potential partnerships. This automates market research, enabling data-driven decisions for product development and investment.
Public health agencies or consultancies utilize the skill to retrieve studies from Science Translational Medicine and PubMed journals, generating summaries that inform policy recommendations and healthcare guidelines. It streamlines evidence gathering, supporting timely responses to medical advancements and public health needs.
Offer tiered subscriptions for individuals, labs, or enterprises, providing daily reports with varying paper limits and advanced features like custom journal lists. Revenue comes from monthly or annual fees, with potential upsells for premium support or integration with other tools.
Provide a free basic version with limited papers and manual activation, while charging for API credits to access more papers, faster summaries, or additional LLM models. This model attracts users with low-cost entry and scales revenue based on usage and advanced needs.
Sell licenses to corporations or institutions for bulk deployments, including customization, on-premise hosting, and dedicated support. Revenue is generated through one-time fees or annual contracts, often bundled with training and integration services for large-scale adoption.
💬 Integration Tip
Ensure the LLM API key is securely stored as an environment variable and test the Feishu push functionality in a sandbox environment before full deployment.
Scored Jun 19, 2026
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