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openclaw-feeds

RSS 新闻聚合器。从三个类别(新闻、游戏和金融)的精选提要中获取头条新闻。当用户询问当前新闻、头条新闻、正在发生的事情时使用,或者说“新闻中发生了什么”、“金融中发生了什么”、“游戏中发生了什么”,或者说德语等效词。

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版本3.1.1
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技能说明


name: openclaw-feeds description: > RSS news aggregator. Fetches headlines from curated feeds across three categories: news, games, and finance. Use when the user asks about current news, headlines, what's happening, what's going on, or says "what's up in news", "what's up in finance", "what's up in games", or the German equivalents "was geht mit nachrichten", "was geht mit money", "was geht mit gaming". Also activates for requests like "give me a news rundown", "latest headlines", "market news", "gaming news", "tech news", "finance roundup", or "briefing". Returns structured JSON from public RSS feeds — no API keys, no web search needed. license: MIT compatibility: Requires Python 3, feedparser (pip install feedparser), and network access to fetch RSS feeds. allowed-tools: Bash(python3:*) metadata: author: nesdeq version: "3.1.1" tags: "rss, news, feeds, headlines, aggregator"

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
news21Ars Technica, Wired, TechCrunch, The Verge, NYT, Heise, Quanta, Aeon, Nautilus, 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.

如何使用「openclaw-feeds」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「openclaw-feeds技能完成任务
  4. 结果即时呈现,支持继续对话优化

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