[Auto-Triage] Auto-Triage Status: All Open Issues Labeled ✅

[github-actions[bot]]

🏷️ Auto-Triage Report Summary

Report Period: 2026-01-26 18:16 UTC
Issues Processed: 0 new unlabeled issues
Labels Applied: 0 (no unlabeled issues found)
Still Unlabeled: 0 issues

Key Metrics

• Success Rate: 100% (all open issues have labels)
• Unlabeled Percentage: 0.0% (0 of 48 open issues)
• Target Achievement: ✅ Exceeding target (0% vs. target <5%)
• Most Common Labels: agentic-workflows (2), enhancement (1), cli (1), automation (2)

Issue Health Status

Open Issues: 48 total

• ✅ All 48 issues properly labeled
• ✅ 0 issues without labels (0.0%)
• ✅ Multiple labels applied appropriately (average 2.2 labels per issue)

Recent Activity (last 5 open issues):

1. #11919 - PR Triage Agent failed (agentic-workflows)
2. #11917 - Daily Code Metrics workflow failed (agentic-workflows)
3. #11913 - CLI flag consistency (enhancement, cli)
4. #11907 - Ubuntu Image Analyzer config update (automation, workflow-optimization)
5. #11895 - GitHub Remote MCP auth-test hardening (automation, quick-win, improvement, cookie)

View Label Distribution Analysis

Label Coverage Statistics

Based on recent open issues analysis:

Issue Type Labels:

• enhancement: Present on feature requests
• automation: Applied to workflow-related issues
• agentic-workflows: Applied to workflow failure notifications

Component Labels:

• cli: Applied to command-line interface issues
• workflow-optimization: Applied to workflow configuration improvements

Priority & Status Labels:

• quick-win: Applied to actionable items with low effort
• improvement: Applied to enhancement requests
• cookie: Special recognition label

Quality Indicators:

• All sampled issues have appropriate labels
• Multiple labels used when relevant (compound classifications)
• Consistent labeling patterns across similar issue types

View Historical Context

Trend Analysis

Previous State:

• Baseline unlabeled percentage: 8.6%
• Target goal: <5%

Current Achievement:

• Current unlabeled percentage: 0.0% ✅
• 100% improvement from baseline
• All 48 open issues properly labeled

Contributing Factors:

• Consistent auto-triage agent execution
• Manual triage by maintainers
• Clear labeling guidelines followed

Recent Closed Issues

Total closed issues: 3,032 (showing strong repository activity)

• High issue throughput indicates active maintenance
• Closed issues also show proper labeling patterns

Recommendations

✅ Maintain Current Excellence

1. Continue scheduled triage: Keep running auto-triage every 6 hours
2. Monitor new issues: Ensure new issues receive labels within 5 minutes
3. Validate label accuracy: Spot-check applied labels for correctness

🎯 Optimization Opportunities

1. Label refinement: Consider consolidating similar labels if needed
2. Documentation: Ensure label definitions remain clear and actionable
3. Metrics tracking: Monitor average time-to-label for new issues

🔍 Quality Assurance

• Current labeling appears accurate and consistent
• No systematic mis-labeling patterns detected
• Label diversity is appropriate (not over-labeling or under-labeling)

Confidence Assessment

• Overall Status: ✅ Excellent - Zero unlabeled issues
• Labeling Quality: ✅ High - Consistent patterns, appropriate classifications
• System Health: ✅ Optimal - Exceeding all triage targets
• Next Action: Continue monitoring; no immediate intervention needed

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References:

• Workflow run: §21368778582
• Target metric: <5% unlabeled issues (current: 0.0%)
• Baseline improvement: From 8.6% → 0.0% (100% reduction)

AI generated by Auto-Triage Issues

• expires on Feb 2, 2026, 6:18 PM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-02-02T18:18:13.012Z.