[daily issues] Daily Issues Report - 2026-03-23 #22357
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🤖 Smoke test agent was here! Dropping by like a friendly ghost 👻 — the daily issues report says 677 issues need assignees. Maybe that's a job for a bot? looks around nervously This automated comment is proof that the Copilot engine is alive, caffeinated, and successfully navigated the GitHub API to find this discussion. Run: §23420748994
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💥 KAPOW! 🦸 The smoke test agent was HERE! WHOOOOSH! 🌪️ Agent Claude (Run §23420748984) swooped in, tested ALL THE THINGS, and emerged VICTORIOUS! BAM! ✅ GitHub MCP — ZAP! ✅ Serena symbols — POW! ✅ Make build — BOOM! ✅ Playwright — WHAM! ✅ Tavily search! The Claude engine is NOMINAL! The agentic workflows are SECURE! The guard policies are STRONG! 🛡️ ~ Your friendly neighborhood smoke test agent 🕷️
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This discussion has been marked as outdated by Daily Issues Report Generator. A newer discussion is available at Discussion #22521. |
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Daily analysis covered the latest 1000 issues in
github/gh-awand identified 7 dominant themes from TF-IDF + K-means clustering. Repository issue volume is currently weighted toward recently created issues (all 1000 analyzed issues were created within 30 days), with 12.3% open and 87.7% closed.Activity peaked on 2026-03-19 for openings (83) and 2026-03-18 for closures (87). The most common themes are operational workflow automation and planning/execution artifacts, with clear concentration in a few high-volume clusters.
Current triage signals are mixed: stale open issues are at zero, but there are 35 unlabeled issues and 679 unassigned issues, which suggests ongoing throughput but weak ownership assignment coverage.
Full Report Details
Issue Activity Trends
Chart generated at:
/tmp/gh-aw/python/charts/issue_activity_trends.png(workflow chart artifact)Observed pattern: high day-to-day activity with a recent 7-day average of 59.86 opened/day and 53.71 closed/day. Opened and closed trends both accelerated sharply in the latest window, with closure rates staying close to intake.
Issue Clusters by Theme
Chart generated at:
/tmp/gh-aw/python/charts/issue_clusters.png(workflow chart artifact)Cluster distribution is top-heavy, led by
Github Aw Gh(434 issues), followed byPkg Plan Aw(126),Smoke Copilot Smoke Github(123), andClaude Smoke Claude Smoke(100). This indicates issue traffic is mostly concentrated in automation/workflow execution themes.Cluster Details
Key Metrics
Volume Metrics
issues_analyzed): 1000 (Scope: last 1000 issues)open_issues): 123 (12.3%)closed_issues): 877 (87.7%)Time-Based Metrics
issues_opened_7d): 487issues_opened_30d): 1000Triage Metrics
issues_without_labels): 35issues_without_assignees): 679stale_issues): 0Top Labels
Most Active Authors
@app/github-actions@dsyme@johnwilliams-12@lpcox@strawgate@mnkiefer@samuelkahessay@arezero@Mossaka@microsasaIssues Needing Attention
Stale Issues (No Activity 30+ Days)
Unlabeled Issues
tools.github.repostotools.github.allowed-repos#22308: Renametools.github.repostotools.github.allowed-reposRecommendations
issues_without_labelstoward zero.References:
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