[Auto-Triage] Auto-Triage Report - February 13, 2026

[github-actions[bot]]

🏷️ Auto-Triage Report Summary

Report Period: 2026-02-13 01:31 UTC
Issues Processed: 6
Labels Applied: 12 total labels
Still Unlabeled: 0 issues

Key Metrics

• Success Rate: 100% (all issues successfully labeled)
• Average Confidence: High
• Most Common Classifications: testing (3), automation (4), documentation (2), workflows (2), question (1)

Classification Summary

Issue	Applied Labels	Confidence	Key Reasoning
#15268	testing, automation	High	Automated smoke test report with test results matrix
#15267	testing, automation	High	Parent issue for grouping smoke test issues with auto-linking
#15266	testing, automation	High	Smoke test report for Claude engine with comprehensive test matrix
#15265	automation, documentation	High	Automated analysis report of Charmbracelet ecosystem usage
#14646	documentation, workflows	High	Documentation content about workflow evolution patterns
#14277	question, workflows	High	User question about PowerShell support in workflows

View Detailed Classification Analysis

Detailed Breakdown

Issue #15268 - Smoke Test: Copilot:

• Keywords Detected: "Test Results", "GitHub MCP Testing", "Playwright Testing", "Workflow Dispatch Testing"
• Pattern Match: Automated smoke test report with checkmarks and structured test results
• Classification Logic: Clear testing content with automation markers (github-actions[bot] author, structured test output)
• Confidence Score: 100%

Issue #15267 - Smoke Claude - Issue Group:

• Keywords Detected: "Parent issue for grouping", "gh-aw-group", "Sub-issues are automatically linked"
• Pattern Match: Meta-issue for test grouping with automation markers
• Classification Logic: Automated grouping mechanism for smoke tests
• Confidence Score: 100%

Issue #15266 - Smoke Test: Claude:

• Keywords Detected: "Test Results", table format with test status, multiple tool testing
• Pattern Match: Identical structure to Smoke Test: Copilot - 21970717413 #15268 but for Claude engine
• Classification Logic: Automated smoke test report pattern
• Confidence Score: 100%

Issue #15265 - Terminal Stylist Analysis:

• Keywords Detected: "Analysis Scope", "Charmbracelet coverage", "Executive Summary", code quality metrics
• Pattern Match: Automated analysis report with scoring
• Classification Logic: Generated report about code documentation/styling practices
• Confidence Score: 100%

Issue #14646 - Exploration on Workflow Evolution:

• Keywords Detected: YAML frontmatter with "description", "sidebar", documentation-style headers
• Pattern Match: Documentation content about workflow concepts
• Classification Logic: Explicitly describes workflow evolution patterns with diagrams
• Confidence Score: 100%

Issue #14277 - Does AW workflow support Ubuntu pwsh?:

• Keywords Detected: "Does", question mark, "What did I do wrong?", "can it be added?"
• Pattern Match: User asking for help/clarification
• Classification Logic: Question format with screenshots showing permission issues
• Confidence Score: 100%

Label Distribution

View Label Statistics

• testing: 3 issues (50% of processed)
• automation: 4 issues (67% of processed)
• documentation: 2 issues (33% of processed)
• workflows: 2 issues (33% of processed)
• question: 1 issue (17% of processed)

Label Combinations:

• testing + automation: 3 issues
• automation + documentation: 1 issue
• documentation + workflows: 1 issue
• question + workflows: 1 issue

Insights & Recommendations

Pattern Analysis

1. High proportion of automation-generated issues (67%) - Most unlabeled issues are automated reports from smoke tests and analysis workflows
2. Smoke test reports dominate - 3 out of 6 issues are smoke test results that could potentially be auto-labeled at creation time
3. Zero ambiguous cases - All issues were classified with 100% confidence; no issues required needs-triage label

Opportunities for Improvement

1. Auto-label smoke test issues - Consider adding automatic labeling to smoke test workflows at issue creation time to prevent these from becoming unlabeled
2. Template-based labeling - Issues following specific templates (test reports, analysis reports) could be auto-labeled based on template detection
3. Bot-generated content detection - Issues created by github-actions[bot] with structured content patterns could trigger automatic label application

Impact Assessment

• Unlabeled issue reduction: Successfully processed all 6 unlabeled issues found in this run
• Labeling accuracy: 100% - all labels applied with high confidence
• Maintainer efficiency: Reduced manual triage workload by 6 issues
• Discoverability improvement: All issues now have meaningful labels for filtering and search

Confidence Assessment

• Overall Success: High - All issues classified successfully
• Human Review Needed: 0 issues flagged with needs-triage
• Next Steps:
  • Monitor for new unlabeled issues in next scheduled run
  • Consider implementing automatic labeling for bot-generated test reports
  • Track if any labels need correction by maintainers

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Workflow Run: §21971124724
Next Scheduled Run: ~6 hours from now

AI generated by Auto-Triage Issues

• expires on Feb 20, 2026, 1:34 AM UTC

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-02-20T01:34:10.663Z.

Closed by Workflow