[daily issues] Daily Issues Report - 2026-08-18 #53717
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Summary
1000 items found — 196 open (19.6%), 804 closed (80.4%). Issue creation is dominated by the automated cookie-licking/failure-investigator bot pipeline, with 877 of the 1000 sampled issues created in just the last 7 days.
The dataset skews heavily toward automation-generated issues: nearly all top authors are bots (app/github-actions with 965 issues), and the leading labels —
agentic-workflows(462),automation(321), andcookie(292) — confirm that most volume comes from scheduled workflow runs rather than organic user reports. Clustering surfaced two dominant themes: general workflow/gh awtooling issues (350) and CI failure-summary reports (320), together accounting for 67% of all issues analyzed. Average time-to-close is fast (0.73 days), reflecting the largely automated, short-lived nature of these tracking issues. Only 6 issues lack labels and no issues are stale, indicating healthy triage hygiene for this bot-driven backlog.View Full Details
📈 Issue Activity Trends
Issue creation volume is very high and concentrated in the most recent days, consistent with a high-frequency automated workflow generating tracking issues (e.g., CI failure reports, cookie-licking checks) rather than steady organic user activity. Closures track openings closely, keeping the open/closed ratio stable.
🏷️ Issue Clusters by Theme
The two largest clusters — general
gh aw/workflow tooling issues and CI failure/agent-summary reports — together make up more than two-thirds of the dataset. Smaller clusters capture niche automation themes: "sous chef" jobs, CVE/security scans, "deep report" agents, "squad game" planning, Copilot smoke tests, and failure investigators.Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1000 (Scope: Last 1000 issues)open_issues): 196 (19.6%)closed_issues): 804 (80.4%)Time-Based Metrics
issues_opened_7d): 877issues_opened_30d): 1000Triage Metrics
issues_without_labels): 6issues_without_assignees): 650stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@app/github-actions@pelikhan@sg650@mnkiefer@Shazwazza@lpcox@Dongbumlee@Etienne-M@dsyme@Alexandra-ChiricaStale Issues (No Activity 30+ Days)
None found — all open issues have had activity within the last 30 days.
Unlabeled Issues
None found in the sampled 1000 issues — labeling hygiene is currently strong.
📝 Recommendations
app/github-actionsand 67% falling into two clusters (workflow tooling, CI failure reports), consider whether some automated trackers could be deduplicated or rolled up into a single recurring issue/discussion to reduce noise.missing_toolreport for details.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
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