Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计提醒

ai-news-collectorAI 新闻采集器

Agent Skill

ai-news-collector 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,595

周安装

106

GitHub Stars

1

下载量

831
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-news-collector(AI 新闻采集器)
来源仓库:https://github.com/yugasun/skills
仓库路径:skills/ai-news-collector
安装命令:
npx skills add https://github.com/yugasun/skills --skill ai-news-collector
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yugasun/skills --skill ai-news-collector

简介

用于查找、检索和筛选相关信息,支持快速定位候选结果。

  • 适合根据关键词、任务场景或来源线索进行信息收集。
  • 安装命令:npx skills add https://github.com/yugasun/skills --skill ai-news-collector。
  • 使用前建议确认权限范围和是否会触发联网或文件操作。
  • 可参考来源仓库 README 了解具体搜索逻辑和输出格式。

SKILL.md

AI News Collector

This skill provides workflows and tools to collect, filter, and summarize the latest developments in the AI industry across major platforms.

Core Capabilities

  • GitHub Trending: Extract trending AI/ML repositories, new tools, and open-source models.
  • X (Twitter) Updates: Gather updates from key AI researchers, organizations, and trending AI hashtags.
  • News Aggregation: Summarize top AI headlines from tech news sources.
  • Digest Generation: Compile the collected information into a structured, easy-to-read markdown digest.

Workflows

1. Generating a Daily AI Digest

When a user requests a daily AI news summary, follow this process:

  1. Information Gathering:

- MUST RESTRICT SEARCH TO THE LAST 7 DAYS. Use explicit date filters (e.g., in curl or web_search) to ensure no news or repositories older than one week are included. - Use the web search tool to find the current GitHub trending repositories (filter by spoken language or programming language like Python/Jupyter Notebook). - Search for recent AI news using queries like "AI news today", "latest artificial intelligence developments", or specific topics (e.g., "OpenAI news", "new LLM releases"). - If applicable and accessible, search for trending AI discussions on X (Twitter).

  1. Filtering & Curation:

- Filter out noise and generic news. - Focus on: New model releases, significant open-source projects, major industry announcements, breakthrough research, and trending developer tools. - STRICTLY exclude any items older than 7 days.

  1. Formatting the Digest:

- Use the template provided in references/digest-template.md to structure the output. - Group items logically (e.g., Open Source & GitHub, Industry News, Research & Papers). - Provide brief, 1-2 sentence summaries for each item. - MANDATORY: Every single news item, repository, paper, or tweet MUST include its original source URL as a markdown link [Link](url).

2. Deep Dive on a Specific AI Topic

If the user asks for news about a specific sub-field (e.g., "What's new in AI image generation?"):

  1. Adjust search queries to focus strictly on that niche.
  2. Structure the response to highlight the most impactful recent developments in that specific area.
  3. Ensure all links and 7-day time limits are strictly applied.

Best Practices

  • Freshness (Critical): Always verify that the news or repositories are actually recent (Strictly within the last 7 days). Discard anything older.
  • Conciseness: Avoid long articles; extract the core value proposition of a new tool or the main takeaway of a news item.
  • Categorization: Well-organized digests are much easier to read than flat lists.
  • Citations (Critical): Always include URLs to the original source (GitHub repo, news article, or tweet). A report item without a source link is considered invalid.

Available Resources

  • Template: See references/digest-template.md for the standard output format.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.01%
按下载量换算299

Claude

30.74%
按下载量换算255

Cursor

18.49%
按下载量换算154

Gemini CLI

8.24%
按下载量换算68

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills