据 AlphaMoat 统计,截至 2026-09,ResearchMonitor 累计下载 3,183 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 3,586 位,在「专业领域」分类(465 个)中排名第 294 位。

累计安装

288

累计下载

3,183

星标

全站排名

#3,586

全站前 71% · 「专业领域」前 64%

平台	累计安装	累计下载	星标	评论
ClawHub ↗	96	2,920	1	-
SkillHub ↗	288	3,183	1	—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

工作流：读取 research_config.json 中的主题与上次检查日期（无配置则先询问并用 --add-topic 保存）；每天检查一次，当天已查过就不重复打扰；用 search_web 按主题检索新论文、即将召开的会议与新期刊Issue（可查 arXiv、IEEE Xplore、Google Scholar 等）；用 --check-seen 过滤已见条目；如果没有重要新内容，就不要打扰用户；有新内容时输出简短报告（标题、来源 URL、一句话相关性摘要），再 --mark-seen 并 --update-date。脚本支持添加/列出主题、更新检查日期与已见记录。

资料发布于 2026-10-27

可以用来做什么

按配置的科研主题定期检索新论文与会议
过滤已见条目避免重复报告
生成带标题、来源与一句话摘要的简报

什么时候用

想持续跟进某个研究方向的新进展时
不想错过领域内重要会议与期刊更新时
希望每天只收到'有新东西才打扰'的简报时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

帮我加一个研究主题：diffusion models。

今天领域里有什么新论文值得看吗？

列出我当前配置的所有研究主题。

月度数据趋势

累计下载3,183

星标1

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份	累计下载	环比	星标
2026-09	3,183	—	1
2026-08	2,867	+2.6%	1
2026-07	2,794	+4.8%	1
2026-06	2,665	+2.5%	1
2026-05	2,599	—	1
2026-03	2,296	—	1

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.5 KB · ClawHub v0.1.2

---
name: ResearchMonitor
description: Monitors research topics for new papers, conferences, and journals.
---

# ResearchMonitor

This skill helps you keep the user updated on their specific research field.

## Workflow

展开全部(共 51 行)


1.  **Check Configuration**:
    -   Read `research_config.json` in this directory to find the user's research topics and last checked date.
    -   If the file doesn't exist or topics are empty, ask the user what research topics they are interested in and save them using `scripts/daily_briefing.py --add-topic "topic"`.

2.  **Daily Check**:
    -   Get the current date.
    -   Compare with `last_checked` in `research_config.json`.
    -   If already checked today, do nothing unless explicitly asked.

3.  **Perform Search**:
    -   For each topic, use `search_web` to look for:
        -   "new research papers [topic] [current month/year]"
        -   "upcoming conferences [topic] [current year]"
        -   "new journal issues [topic] [current month/year]"
        -   Check specialized platforms like arXiv, IEEE Xplore, Google Scholar (via web search), or X (Twitter) if relevant.

4.  **Filter & Analyze**:
    -   For each potential item found, use `scripts/daily_briefing.py --check-seen "URL or Unique Title"`.
    -   If it returns "true", SKIP IT.
    -   Compare found items with what might have been seen yesterday (this requires some memory or just checking if the publication date is very recent, e.g., last 24-48 hours).
    -   **CRITICAL**: If there is *nothing significantly new* (no new major papers, no new conference announcements), **DO NOT BOTHER THE USER**.

5.  **Report**:
    -   If new items are found, compile a brief markdown report.
    -   Include:
        -   **Title**: News/Paper Title
        -   **Source**: URL/Journal Name
        -   **Summary**: 1-sentence summary of why it's relevant.
    -   Present this to the user.
    -   Mark the items as seen using `scripts/daily_briefing.py --mark-seen "URL or Unique Title"`.
    -   Update the `last_checked` date using `scripts/daily_briefing.py --update-date`.

## Scripts

-   `python scripts/daily_briefing.py --add-topic "topic"`: Adds a new research topic.
-   `python scripts/daily_briefing.py --list-topics`: Lists current topics.
-   `python scripts/daily_briefing.py --update-date`: Updates the last checked timestamp to now.
-   `python scripts/daily_briefing.py --check-seen "ID"`: Checks if an item ID (URL/Title) is already in memory.
-   `python scripts/daily_briefing.py --mark-seen "ID"`: Marks an item ID as seen.