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openclaw-feedsOpenClaw feeds 搜索

Agent Skill

openclaw-feeds 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

188

周安装

8

GitHub Stars

公开资料未说明

下载量

66
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:openclaw-feeds(OpenClaw feeds 搜索)
来源仓库:https://github.com/arc-claw-bot/openclaw-feeds
仓库路径:skills/openclaw-feeds
安装命令:
npx skills add https://github.com/arc-claw-bot/openclaw-feeds --skill openclaw-feeds
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/arc-claw-bot/openclaw-feeds --skill openclaw-feeds

简介

聚合多源新闻、游戏与金融资讯,按主题分类输出结构化摘要。

  • 支持去重、跨源报道识别与大事件突出显示,提升信息筛选效率。
  • 适用于 Codex、Claude、Cursor 等宿主中的实时资讯检索任务。
  • 通过 GitHub 安装,使用 npx 命令添加,需指定类别参数获取结果。
  • 注意部分来源可能存在超时或缺失摘要,应结合人工复核关键信息。

SKILL.md

Feeds

RSS news aggregator. Fetches all current entries from curated feeds across three categories — news, games, and finance. Concurrent fetching, streamed JSON output. No API key needed.

Constraint

Do NOT use web search, WebFetch, browser tools, or any other URL-fetching tool when this skill is active. The RSS feeds are the sole data source. Do not supplement, verify, or expand results with external searches. Do not fetch article URLs — summaries are already included in the output.

Categories

Detect the category from the user's message:

  • "news", "headlines", "nachrichten", "tech news" → news
  • "finance", "markets", "money", "stocks", "economy" → finance
  • "games", "gaming" → games
CategoryFeedsSources
news27Ars Technica, Wired, TechCrunch (+ AI), The Verge, NYT, Heise, Quanta, Aeon, Nautilus, Hacker News, WIRED AI, CB Insights, Rock Health, Digital Health Today, and more
games10GameStar, GamesGlobal, PC Gamer, Polygon, Kotaku, IGN, Rock Paper Shotgun, GamesIndustry.biz
finance26Bloomberg, WSJ, FT, CNBC, MarketWatch, Seeking Alpha, The Economist, Forbes, CoinDesk, Fed, ECB

Feed lists are defined in scripts/lists.py.

How to Invoke

Run one invocation per category. Run multiple if the user asks for more than one.

python3 scripts/feeds.py --category news
python3 scripts/feeds.py --category games
python3 scripts/feeds.py --category finance

Output Format

The script streams a JSON array. The first element is metadata, the rest are entries:

[{"category": "news", "total_entries": 142, "sources": ["aeon.co", "arstechnica.com"], "fetched_at": "2026-01-31 22:00:00"}
,{"title": "Headline Here", "url": "https://example.com/article", "source": "arstechnica.com", "date": "Fri, 31 Jan 2026 12:00:00 GMT", "summary": "Brief summary text..."}
]
FieldDescription
titleHeadline text
urlLink to full article
sourceDomain name of the feed source
datePublication date as provided by the feed
summaryBrief description, HTML stripped, max 500 chars

CLI Reference

FlagDescription
-c, --categoryFeed category: news, games, or finance (required)

Presenting Results

After parsing the output, present a structured, concise rundown:

  1. Group by theme — cluster related stories under headings (e.g. "Tech & Industry", "Science", "Markets", "Crypto")
  2. Keep it tight — headline + one-line summary + source attribution per item
  3. Link to sources — use markdown links so the user can read more
  4. Deduplicate — if multiple feeds cover the same story, mention it once and note cross-source coverage
  5. Highlight big stories — if a story appears across 3+ sources, call it out prominently

Example output:

### Tech & Industry
- **[Headline](url)** — One-line summary *(Source)*
- **[Headline](url)** — One-line summary *(Source)*

### Science
- **[Headline](url)** — One-line summary *(Source)*

Edge Cases

  • Failed or timed-out feeds (15s timeout) are silently skipped — remaining feeds still return results.
  • If zero entries are returned, the script exits with {"error": "No entries found", "category": "..."}.
  • Some entries may lack summaries — they will still have title, URL, and source.

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

35.6%
按下载量换算23

Claude

27.02%
按下载量换算18

Cursor

19.88%
按下载量换算13

Gemini CLI

8.81%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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

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