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1,000 issues analyzed — 130 open (13.0%), 870 closed (87.0%)
The repository's issue tracker is dominated by automated workflow activity: app/github-actions alone authored 946 of the 1,000 most recent issues, reflecting the heavy use of scheduled agentic workflows (daily reports, failure investigators, and status trackers) that file issues as part of their operation. All 1,000 issues in this snapshot were created within the last 6 days (Aug 19–25, 2026), so 7-day and 30-day "opened" counts are effectively identical at this sample size. No stale open issues (30+ days without activity) were found, and only 26 issues lack labels — most of these are "[WIP]" placeholder issues from work-in-progress agent runs.
Clustering by TF-IDF + K-means on titles and bodies produced eight themes, the largest driven by generic workflow-failure and "aw"/gh aw CLI content (clusters 3 and 4, together 68% of issues), consistent with the repo's identity as the home of the gh aw agentic workflow compiler.
View Full Details
📈 Issue Activity Trends
Opened and closed counts track each other closely across the visible window, indicating the automation that files these issues also resolves most of them quickly (average time-to-close is under 1 day — see Time-Based Metrics below). No sustained backlog buildup is visible.
🏷️ Issue Clusters by Theme
Two clusters dominate: general workflow/agent failure reports (381 issues) and gh aw/CLI-specific daily report issues (300 issues). Smaller, more specialized clusters cover "DeepReport"-style briefings, "Sous Chef" PR automation, "Squad Game" planner content, and failure-investigator threads — each reflecting a distinct named agentic workflow running in this repository.
Total Issues Analyzed (issues_analyzed): 1,000 (Scope: Last 1000 issues)
Open Issues (open_issues): 130 (13.0%)
Closed Issues (closed_issues): 870 (87.0%)
Time-Based Metrics
Issues Opened (Last 7 Days) (issues_opened_7d): 1,000
Issues Opened (Last 30 Days) (issues_opened_30d): 1,000
Average Time to Close: ~0.63 days (~15 hours)
Note: all 1,000 sampled issues fall within the last 6 days due to high automation volume, so the 7d/30d windows both capture the full dataset at this sample size.
Triage Metrics
Issues Without Labels (issues_without_labels): 26
Issues Without Assignees (issues_without_assignees): 691
Stale Issues (30+ days) (stale_issues): 0
🏆 Top Labels
Label
Issue Count
agentic-workflows
498
automation
334
cookie
238
code-quality
121
improvement
112
quick-win
108
task-mining
108
cascade-suspected
91
testing
71
bug
66
👥 Most Active Authors
Author
Issues Created
@app/github-actions
946
@dsyme
8
@lpcox
7
@theletterf
6
@mnkiefer
3
@seesharprun
2
@ricohomewood
2
@lkraav
1
@lw396
1
@johndowns
1
⚠️ Issues Needing Attention
Stale Issues (No Activity 30+ Days)
None found — all open issues have had activity within the last 30 days.
Close or label "[WIP]" placeholder issues promptly. Most unlabeled issues are auto-generated work-in-progress placeholders from experimental agent runs; adding a standard wip or experiment label would keep the "unlabeled" triage queue meaningful.
Consider consolidating near-duplicate automated report clusters. Clusters 3, 4, and 6 (793 issues combined) largely represent scheduled workflow status/failure reports; if the intent is dashboards rather than actionable issues, routing some of this volume to discussions instead of issues could reduce tracker noise.
No backlog risk currently — zero stale issues and sub-day average close times suggest triage processes are keeping pace with automation volume.
Report generated automatically by the Daily Issues Report workflow Data source: Last 1000 issues from github/gh-aw
Note: The close_discussion safe-output tool was not available in this workflow run, so previous daily issues discussions (e.g. #55423 from 2026-08-24) could not be automatically closed. This has been reported via missing_tool.
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Summary
1,000 issues analyzed — 130 open (13.0%), 870 closed (87.0%)
The repository's issue tracker is dominated by automated workflow activity:
app/github-actionsalone authored 946 of the 1,000 most recent issues, reflecting the heavy use of scheduled agentic workflows (daily reports, failure investigators, and status trackers) that file issues as part of their operation. All 1,000 issues in this snapshot were created within the last 6 days (Aug 19–25, 2026), so 7-day and 30-day "opened" counts are effectively identical at this sample size. No stale open issues (30+ days without activity) were found, and only 26 issues lack labels — most of these are "[WIP]" placeholder issues from work-in-progress agent runs.Clustering by TF-IDF + K-means on titles and bodies produced eight themes, the largest driven by generic workflow-failure and "aw"/
gh awCLI content (clusters 3 and 4, together 68% of issues), consistent with the repo's identity as the home of thegh awagentic workflow compiler.View Full Details
📈 Issue Activity Trends
Opened and closed counts track each other closely across the visible window, indicating the automation that files these issues also resolves most of them quickly (average time-to-close is under 1 day — see Time-Based Metrics below). No sustained backlog buildup is visible.
🏷️ Issue Clusters by Theme
Two clusters dominate: general workflow/agent failure reports (381 issues) and
gh aw/CLI-specific daily report issues (300 issues). Smaller, more specialized clusters cover "DeepReport"-style briefings, "Sous Chef" PR automation, "Squad Game" planner content, and failure-investigator threads — each reflecting a distinct named agentic workflow running in this repository.Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1,000 (Scope: Last 1000 issues)open_issues): 130 (13.0%)closed_issues): 870 (87.0%)Time-Based Metrics
issues_opened_7d): 1,000issues_opened_30d): 1,000Note: all 1,000 sampled issues fall within the last 6 days due to high automation volume, so the 7d/30d windows both capture the full dataset at this sample size.
Triage Metrics
issues_without_labels): 26issues_without_assignees): 691stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@app/github-actions@dsyme@lpcox@theletterf@mnkiefer@seesharprun@ricohomewood@lkraav@lw396@johndownsStale Issues (No Activity 30+ Days)
None found — all open issues have had activity within the last 30 days.
Unlabeled Issues (sample)
📝 Recommendations
wiporexperimentlabel would keep the "unlabeled" triage queue meaningful.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
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