// monitor recent arxiv papers and produce a chinese digest when the user needs a filtered paper watchlist, a ranked update for agent or rag related topics, or an optional feishu webhook push from recent cs.ai or cs.cl submissions.
| name | paper-feishu-digest |
| description | monitor recent arxiv papers and produce a chinese digest when the user needs a filtered paper watchlist, a ranked update for agent or rag related topics, or an optional feishu webhook push from recent cs.ai or cs.cl submissions. |
用这个 skill 抓取最近时间窗口内的 arXiv 论文，按相关性做保守排序，生成中文速递，并在需要时推送到飞书 webhook。
cs.AI,cs.CL24 小时agent,reasoning,rag,safety review,安全评审top 10scripts/arxiv_digest.py 获取最近论文并生成结构化结果。references/message_template.md 组织最终消息格式。references/operations.md 中的操作约束。优先使用脚本，而不是手写抓取逻辑。
python paper-feishu-digest\scripts\arxiv_digest.py --hours 24 --top-k 10
常见参数：
--categories--hours--max-results--top-k--keywords--webhook--post--json-out--md-outreferences/message_template.md 以保持消息结构一致。references/operations.md。extract structured benchmark information from academic papers when the input includes multiple pdfs, abstracts, or links and the user needs chinese notes or table-ready fields for tasks, datasets, metrics, baselines, sota claims, code release, or evaluation settings.
summarize machine learning experiment logs in chinese when the input includes training logs, eval results, hyperparameter changes, user notes, or multiple runs and the user needs a grounded experiment summary, error analysis, best configuration recap, or a weekly update ready abstract.
produce a chinese deep reading note for a single academic paper when the input is a pdf, arxiv link, title with abstract, or paper excerpts and the user needs a grounded reading card, contribution summary, reproduction risks, or reading priority judgment.
analyze topic coverage, bottlenecks, controversies, and plausible research gaps when the input includes a research topic, a set of papers, or the user's early ideas and the user needs a grounded gap analysis, problem framing, small entry points, or experiment hypotheses without forced novelty claims.
analyze academic reviews and draft a professional rebuttal when the input includes reviewer comments, a meta-review, paper abstract, or user supplied experiment status and the user needs concern classification, response strategy, risk warnings, or a rebuttal draft without inventing evidence.
write a chinese survey draft around a research topic when the input includes a topic, multiple papers, abstracts, links, pdfs, or a user curated related-work list and the user needs a short survey, long survey, taxonomy, or method evolution summary.