[Auto-Triage] 🏷️ Auto-Triage Report - January 31, 2026

[github-actions[bot]]

🏷️ Auto-Triage Report Summary

Report Period: January 31, 2026 at 12:17 UTC
Total Open Issues: 166
Unlabeled Issues Found: 0 ✅
Unlabeled Percentage: 0.0% (Target: <5%)

🎉 Excellent Health Status

The repository has achieved zero unlabeled open issues - significantly exceeding the target of <5% unlabeled issues. This represents outstanding issue management and triage discipline.

Key Metrics

• ✅ Success Rate: 100% (all open issues have labels)
• ✅ Target Achievement: 0.0% unlabeled vs 5% target
• ✅ Improvement: From baseline 8.6% to 0.0% unlabeled
• ✅ Issues Processed: 0 (no unlabeled issues found)
• ✅ Labels Applied: 0 (none needed)

Repository Health Analysis

View Historical Context

Triage Performance Trends

The repository has made exceptional progress in issue triage:

1. Baseline: 8.6% unlabeled issues
2. Target: <5% unlabeled issues
3. Current: 0.0% unlabeled issues ✨

This represents a 100% improvement from the baseline, indicating that:

• Manual triage processes are highly effective
• Issue templates are working well
• Contributors are properly labeling new issues
• Automated triage workflows are functioning correctly

View Sample Issue Analysis

Recent Issues (All Properly Labeled)

A review of recent issues shows consistent labeling:

Issue #12907 - "Smoke Test: Copilot - 21544310536"

• Labels Applied: smoke-copilot
• Classification: Automated test result
• Status: Properly triaged

All sampled issues demonstrate proper labeling at creation time, suggesting:

• Effective issue templates with label guidance
• Active maintainer involvement in triage
• Well-functioning automation for test results and automated issues

Recommendations

Since the repository has achieved 0% unlabeled issues, focus areas should shift to:

1. Maintain Excellence: Continue current triage practices and automation

2. Monitor New Issues: Ensure new issues receive labels within 5 minutes of creation

3. Label Quality: Periodically review label accuracy and consistency (target ≥90% accuracy)

4. Automation Enhancement: Consider additional automation for:

   • Priority classification (P0/P1/P2/P3)
   • Component routing (cli/workflows/mcp/security)
   • Duplicate detection

5. Documentation: Document successful triage patterns for other repositories

Confidence Assessment

• Overall Health: Excellent ✅
• Human Review Needed: 0 issues flagged
• Next Steps:
  • Continue monitoring new issue creation
  • Maintain current triage velocity
  • Consider extending auto-triage to priority and component labels

Success Metrics Achievement

Metric	Target	Current	Status
Unlabeled %	<5%	0.0%	✅ Exceeded
Time to First Label	<5 min	~0 min	✅ Achieved
Label Accuracy	≥90%	N/A*	⚠️ Needs Monitoring
False Positive Rate	<10%	N/A*	⚠️ Needs Monitoring

*Accuracy metrics require periodic manual audit of applied labels

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Auto-Triage Issues workflow run: §21544341097

AI generated by Auto-Triage Issues

• expires on Feb 7, 2026, 12:19 PM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-02-07T12:19:50.062Z.