A powerful automation tool for fetching, filtering, and summarizing RSS and Atom feeds into clean, actionable digests.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rss-feed-digest
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install rss-feed-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
RSS Feed Digest is an essential utility within the Openclaw Skills ecosystem designed to streamline how you consume information. It allows users to aggregate multiple RSS or Atom feeds, apply intelligent keyword filters, and output the results as a formatted Markdown or plain text document.
This skill is particularly valuable for developers and researchers who need to stay updated without manual browsing. By integrating this into your workflow, you can automate the discovery of relevant content, ensuring you only see the news that matters to your specific projects or interests.
First, ensure you have the required dependency installed:
pip3 install feedparser
To run a basic fetch command from your Openclaw Skills directory:
python3 scripts/rss_digest.py fetch --feeds "https://hnrss.org/frontpage" --hours 24
The skill processes feed data and produces structured outputs. It can ingest individual URLs or a .txt file containing a list of URLs. Below is the metadata taxonomy used during processing:
| Attribute | Description |
|---|---|
| Source | The origin RSS/Atom URL provided by the user. |
| Title | The headline of the feed item. |
| Link | The direct URL to the full article. |
| Summary | The excerpt or description provided by the feed source. |
| Timestamp | The publication date used for time-based filtering (hours/days). |
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