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[daily issues] Daily Issues Report - 2026-10-03 #65342
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This discussion has been marked as outdated by Daily Issues Report Generator. A newer discussion is available at Discussion #65624. |
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Summary
1000 issues analyzed — 168 open (16.8%), 832 closed (83.2%).
The repository's issue stream is overwhelmingly automated: 949 of 1000 issues come from
github-actions. All 1000 analyzed issues were created within the last 7 days, so the window is very recent and the 7d/30d counts are identical. Closed issues resolve fast, with an average time to close of about 13h50m (median 12h46m).Triage is mostly healthy. No open issues are stale, and only 18 open issues lack labels. However, 163 of 168 open issues have no assignee. The largest themes are workflow reports and summaries, smoke-test failures, and model-resolution warnings.
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📈 Issue Activity Trends
Activity is concentrated in the most recent days. Closures (832) track openings closely, which signals that automated issues are being resolved or superseded quickly.
🏷️ Issue Clusters by Theme
The largest cluster is report and summary issues (
pkg,cli,report). Smoke-test failures and model/provider warnings together account for roughly 350 issues.Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1000 (Scope: Last 1000 issues)open_issues): 168 (16.8%)closed_issues): 832 (83.2%)Time-Based Metrics
issues_opened_7d): 1000issues_opened_30d): 1000Triage Metrics
issues_without_labels, open): 18issues_without_assignees, open): 163stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@github-actions(app)@niebloomj@pelikhan@lpcox@ekbritecore@jaroslawgajewski@MureedSultan@SivaKesava1Stale Issues (No Activity 30+ Days)
Unlabeled Issues (open, sample)
📝 Recommendations
cascade-suspectedissues; they may indicate duplicate or cascading failures inflating volume.[WIP],[model-resolution]) to remove the unlabeled backlog.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
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