菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/chtc66/academic-skills --skill paper-feishu-digest命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| 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。