[daily issues] Daily Issues Report - 2026-09-30 #64518
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Summary
1000 issues analyzed — 199 open (19.9%), 801 closed (80.1%), all created in the last 7 days.
The issue tracker is almost entirely machine-driven: 971 of 1000 issues come from
app/github-actions. Automated audit, test-parallelizer, and "work in progress" issues dominate the volume. Closure is fast: the median time to close is 12.8 hours.Triage is healthy. Only 20 open issues lack labels, and none is stale. But 191 of 199 open issues have no assignee.
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📈 Issue Activity Trends
The dataset spans 2026-09-24 to 2026-09-30, so the 30-day chart shows only the most recent week. Closures track openings closely, which reflects automated create-and-close cycles.
🏷️ Issue Clusters by Theme
TF-IDF and K-means (k=8) found one broad theme of
gh awCLI and PR reports. Smaller clusters cover token-usage audits, WIP placeholders, and safe-output and policy issues.Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1000 (Scope: Last 1000 issues)open_issues): 199 (19.9%)closed_issues): 801 (80.1%)Time-Based Metrics
issues_opened_7d): 1000issues_opened_30d): 1000Triage Metrics
issues_without_labels): 20 (open)issues_without_assignees): 191 (open)stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@app/github-actions@ekbritecore@lpcox@pelikhan@corygehr@blozano-ttStale Issues (No Activity 30+ Days)
Unlabeled Issues
📝 Recommendations
app/github-actions) a shared label so their output can be filtered from human-filed issues.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
Note: the previous-discussion close step was skipped because no
close_discussiontool was available in this run.All reactions