Aggregate AI/tech news from user-defined sources in source.md. For broad AI news without a source file, consider using big-ai-news or ai-news skills instead.

Workflow

1. Load Sources

Read workspace/skills/more-news/source.md to extract all source entries. The file uses a markdown table format with columns: #, Source, URL, Type/Focus. Extract all URLs.

2. Fetch Articles

For each source URL, use web_fetch in sequence:

• maxChars: 15000
• extractMode: "markdown"

Handle failures gracefully:

• If fetch returns 403/429/geo-block → skip and note as "blocked"
• If fetch returns navigation-only content with no articles → skip and note
• If fetch succeeds but has no recent articles → skip

3. Filter to Last 24 Hours

Only include articles published within 24 hours of the current time. Use article date stamps, relative timestamps ("2 hours ago" / "Apr 3"), or publication sections to determine recency. For articles that lack full details (no URL, no full headline details), skip it.

4. Compile & Rank

Output ranked newest-to-oldest. Each entry must include:

• Numbered ranking (1, 2, 3...)
• Headline
• Brief summary (2-3 sentences)
• Source URL (clickable link — prefer original article URL)
• Approximate date/time

5. Report Skipped Sources

At the end, list which sources from source.md were skipped and why (blocked, no articles, stale).

Output Format

# 📰 AI News — Last 24 Hours (Ranked by datetime)
[Date]
1. Headline
Brief summary here (2-4 sentences).
🔗 Source Name
Summary
Metric
Count
Stories found
X
Sources fetched
Y of Z
Sources skipped
W

Tips

• For best results, keep source.md updated with reachable URLs
• RSS feeds or API endpoints work better than article listing pages
• If the user wants 50-100+ stories, recommend adding RSS feeds or using Tavily search skill as supplement
• De-duplicate across sources (same story from multiple outlets → list once with multiple links)
• If all sources are blocked, fall back to web_search for the news