A lightweight RSS aggregator that fetches real-time headlines across news, gaming, and finance categories without requiring external API keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-feeds
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-feeds using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Openclaw Feeds: RSS News Aggregator?
openclaw-feeds is a specialized tool designed to provide AI agents with immediate access to curated information from over 50 trusted sources. By leveraging Openclaw Skills, this aggregator streamlines the retrieval of technical, financial, and gaming news through a structured JSON interface, ensuring that your agent has the latest data without relying on broad web searches.
This skill prioritizes speed and reliability by utilizing local Python scripts to parse RSS feeds directly. It serves as a privacy-conscious alternative to web-scale search tools, focusing on high-signal data from reputable outlets like Ars Technica, Bloomberg, and GameStar.
Openclaw Feeds: RSS News Aggregator Use Cases
- Monitoring global news headlines for quick daily briefings.
- Tracking market trends and financial updates from sources like Bloomberg and WSJ.
- Staying updated on gaming industry shifts, reviews, and tech news.
- Integrating structured news data into automated reporting workflows.
- Researching specific themes by aggregating related stories across multiple domains.
How Openclaw Feeds: RSS News Aggregator Works
- The user provides a category keyword (news, finance, or games) to the AI agent.
- The agent invokes the Python script using the Openclaw Skills framework with the relevant category flag.
- The script concurrently fetches data from multiple curated RSS feeds listed in the internal configuration.
- The fetched data is parsed, HTML is stripped from summaries, and the content is transformed into a structured JSON array.
- The agent processes the JSON output to deduplicate stories and present a themed rundown to the user.
Openclaw Feeds: RSS News Aggregator Setup
To utilize this skill within the Openclaw Skills ecosystem, ensure you have the required dependencies installed:
pip install feedparser
Invoke the aggregator via the command line:
python3 scripts/feeds.py --category news
Note: Requires Python 3 and active network access to reach external RSS URLs.
Openclaw Feeds: RSS News Aggregator Data Schema & Taxonomy
The skill returns a streamed JSON array where the first object contains metadata and subsequent objects contain feed entries.
Entry Schema
| Field | Description |
|---|---|
title |
Headline text |
url |
Link to the full article |
source |
Domain name of the feed source |
date |
Publication date provided by the feed |
summary |
Plain-text description, HTML stripped (max 500 chars) |
Metadata Schema
| Field | Description |
|---|---|
category |
Requested category (news, games, finance) |
total_entries |
Integer count of fetched items |
sources |
List of successfully queried domains |
Openclaw Feeds: RSS News Aggregator Advanced Features
- Concurrent feed fetching for high-performance data retrieval across dozens of sources.
- Automatic deduplication logic to handle stories appearing across multiple sources.
- Themed clustering capabilities to group related headlines under logical headings.
- Zero-dependency on external API keys or paid search engine credits.
- Streamed JSON output designed for efficient parsing by LLMs within the Openclaw Skills environment.
SKILL.md
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