Score RSS/Atom feed items above 7 and output Chinese daily digests.
npx skills add https://github.com/rookie-ricardo/erduo-skills --skill ak-rss-digest
Please help me install this Agent Skill. Skill: ak-rss-digest Source: https://github.com/rookie-ricardo/erduo-skills/tree/main/skills/ak-rss-digest Command: npx skills add https://github.com/rookie-ricardo/erduo-skills --skill ak-rss-digest
The AK RSS Digest curates a current reading list from a fixed bundle of RSS/Atom feeds and outputs a concise Chinese daily digest with high-signal articles, scored on a 10-point scale.
Run the fetch_today_feed_items.py script to pull feed items for today or a specific date, then output the digest in JSON or Markdown.
High-intent search queries and answers about installing and using this skill.
To generate a daily AI news digest from RSS feeds, run the provided Python script against a configured feeds.opml bundle to pull, score, and output high-signal articles as a Chinese daily brief in Markdown or JSON format.
RSS feed scoring applies a 10-point rubric to evaluate each candidate item pulled from the configured feeds.opml bundle, outputting only articles that score above 7 to ensure the digest contains high-signal AI insights.
Yes, you can pull RSS feed items for a specific date by requesting a single-day pull when running the script, overriding the default behavior which curates articles from the most recent seven days.
Yes, you need a Python environment to run the provided scripts that parse the RSS feeds, apply the 10-point scoring rubric, and output the filtered Markdown or JSON digest for agent consumption.
You configure custom RSS feeds for an AI agent reading list by editing the feeds.opml reference file bundled in the references directory, which the Python script parses to source candidate articles for the daily digest.
The best way to curate frontier AI insights from Atom feeds is using an automated scoring script that filters items above a 7-point threshold, producing a compact Chinese daily brief suitable for AI agent consumption.
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