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Report Period: 2026-01-26T12:18:49Z Issues Processed: 41 open issues reviewed Labels Applied: 0 (no unlabeled issues found) Still Unlabeled: 0 issues
Key Metrics
Success Rate: 100% (all issues already have labels)
Unlabeled Percentage: 0% (Target: <5% β )
Most Common Classifications: enhancement, cookie, dependencies, automation, workflows
Triage Status
β Excellent triage health! All 41 open issues in the repository currently have at least one label applied. The repository has successfully achieved 0% unlabeled issues, well below the target threshold of 5%.
View Label Distribution Analysis
Based on the current open issues, the most common label patterns include:
Multi-Label Patterns:
Many issues appropriately have multiple labels (e.g., enhancement + dependencies + go + cookie), indicating good classification practices.
Super powerΒ #11823 - Add support for dynamic tool configuration in workflows
Labels: enhancement, mcp, workflows
All issues demonstrate proper multi-label classification with relevant component and type labels.
Recommendations
Maintain Current Standards: Continue current triage practices - the repository shows excellent label hygiene with 0% unlabeled issues.
Monitor New Issues: Since all current issues are labeled, focus on ensuring new issues receive labels quickly (target: <5 minutes).
Label Consistency: Consider reviewing the cookie label usage - it appears frequently on automated issues and might benefit from documentation about its meaning and when to apply it.
Component Labels: Good use of component labels (cli, workflows, mcp, security, performance) helps with issue routing and filtering.
Automation Success: The high number of ai-generated and cookie labels suggests automated issue creation is working well and being properly labeled.
Confidence Assessment
Overall Health: Excellent β
Human Review Needed: 0 issues require triage
Next Steps: Continue monitoring new issue creation patterns and maintain quick labeling response times
Historical Context
The repository has improved significantly from the baseline 8.6% unlabeled issues to the current 0%. This represents excellent triage automation and maintainer responsiveness.
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π·οΈ Auto-Triage Report Summary
Report Period: 2026-01-26T12:18:49Z
Issues Processed: 41 open issues reviewed
Labels Applied: 0 (no unlabeled issues found)
Still Unlabeled: 0 issues
Key Metrics
Triage Status
β Excellent triage health! All 41 open issues in the repository currently have at least one label applied. The repository has successfully achieved 0% unlabeled issues, well below the target threshold of 5%.
View Label Distribution Analysis
Based on the current open issues, the most common label patterns include:
Top Labels Applied:
Multi-Label Patterns:
Many issues appropriately have multiple labels (e.g.,
enhancement+dependencies+go+cookie), indicating good classification practices.View Recent Issues Sample
Recently Created Issues (All Labeled):
[testify-expert] Improve Test Quality: pkg/workflow/mcp_utilities_test.goΒ #11851 -
[testify-expert] Improve Test Quality: pkg/workflow/mcp_utilities_test.go[team-status] Daily Team Status - January 26, 2026 πΒ #11843 -
[team-status] Recent Activity Report[deps]Dependabot Dependency Checker - Issue GroupΒ #11842 -
Bump golang.org/x/net from 0.34.0 to 0.35.0[deps]Update
@playwright/mcpfrom 0.0.58 to 0.0.59Β #11841 -Bump golang.org/x/oauth2 from 0.25.0 to 0.26.0Super powerΒ #11823 -
Add support for dynamic tool configuration in workflowsAll issues demonstrate proper multi-label classification with relevant component and type labels.
Recommendations
Maintain Current Standards: Continue current triage practices - the repository shows excellent label hygiene with 0% unlabeled issues.
Monitor New Issues: Since all current issues are labeled, focus on ensuring new issues receive labels quickly (target: <5 minutes).
Label Consistency: Consider reviewing the
cookielabel usage - it appears frequently on automated issues and might benefit from documentation about its meaning and when to apply it.Component Labels: Good use of component labels (
cli,workflows,mcp,security,performance) helps with issue routing and filtering.Automation Success: The high number of
ai-generatedandcookielabels suggests automated issue creation is working well and being properly labeled.Confidence Assessment
Historical Context
The repository has improved significantly from the baseline 8.6% unlabeled issues to the current 0%. This represents excellent triage automation and maintainer responsiveness.
References:
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