Monitor hada.io RSS feeds and generate labeled GitHub issues for AI harness content.
npx skills add https://github.com/baekenough/second-brain --skill hada-scout
Please help me install this Agent Skill. Skill: hada-scout Source: https://github.com/baekenough/second-brain/tree/main/.claude/skills/hada-scout Command: npx skills add https://github.com/baekenough/second-brain --skill hada-scout
Hada-scout automates the monitoring of hada.io RSS feeds to surface AI agent, harness, benchmark, and eval-related articles for rapid analysis by your AI harness.
Configure hada-scout to begin polling the hada.io RSS feed and automatically run /scout on matching entries.
High-intent search queries and answers about installing and using this skill.
Automating RSS feed monitoring for AI harness and eval news involves polling a feed source like hada.io to surface relevant articles, applying /scout analysis for relevance, and generating labeled GitHub issues to track benchmark and eval tooling discussions.
Continuous content curation for AI benchmark and eval frameworks is the automated tracking of RSS feeds to deduplicate articles, run /scout analysis on matched URLs, and generate categorized issues for rapid evaluation by your AI harness.
Integrating /scout analysis with RSS feeds requires configuring an automated monitor to poll the feed, run /scout on matched URLs to determine relevance and verdicts, and label the resulting GitHub issues to track eval-related tooling.
Yes, you can use GitHub issue labeling to categorize automated AI news feeds by configuring the monitor to generate issues with appropriate labels, tracking decisions on harness design, benchmark discussions, and eval-related tooling surfaced from the RSS source.
Automated feed monitoring does deduplicate AI news articles from hada.io, keeping a clean list of new relevant articles focused on benchmarks, eval frameworks, and harness design before running /scout analysis and generating tracked issues.
The best way to surface eval-related articles for an AI harness is automating an RSS feed monitor to narrow the content stream to benchmark and eval frameworks, apply /scout integration for verdicts, and generate labeled issues for analysis.
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