[daily issues] Daily Issues Report - 2026-09-25

[github-actions[bot]]

Summary

1000 items found — 82.1% closed, 17.9% open across the last 1000 tracked issues (September 20–25, 2026).

The queue is dominated by automation-generated tracking issues rather than human bug reports: the top three clusters — general workflow runs, workflow failure reports, and work-in-progress trackers — account for over 64% of all volume. The average closing time is remarkably fast (under 13 hours), reflecting that most of these issues are bot-managed lifecycle trackers (opened at run start, closed at run completion) rather than issues awaiting human triage. 191 issues (19.1%) carry no labels and 957 (95.7%) have no assignee, though this largely reflects the bot-driven workflow pattern where labels/assignees are optional. No issues met the 30-day staleness threshold, since the dataset only spans the most recent ~5 days of activity.

Because issues_opened_7d and issues_opened_30d both equal 1000, the underlying dataset (last 1000 issues, sorted by recency) does not extend back a full 7 or 30 days — the oldest issue in scope was created 2026-09-20, only 5 days before this report. Longer-window metrics should be interpreted with that caveat.

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📈 Issue Activity Trends

Opened and closed volumes track closely together throughout the window, consistent with short-lived, bot-managed lifecycle issues. The 7-day moving averages show a steady cadence of activity with no unusual spikes, though the short 5-day data span limits trend depth.

🏷️ Issue Clusters by Theme

TF-IDF + K-means clustering on titles and bodies surfaces eight themes. The largest clusters relate to general agentic-workflow run activity and failure reporting, followed by work-in-progress trackers and cloud-hypervisor/sandbox trust issues — the latter likely reflecting a batch of related infrastructure reports.

Cluster Details

Cluster	Theme	Issue Count	Sample Issues
1	General Workflow Runs (aw, gh, gh aw, workflow)	274	#63448, #63447, #63443
2	Workflow Failure Reports (failure, workflow, agent, details)	237	#63451, #63422, #63421
3	Work-in-Progress Trackers (work, work progress, progress, created)	132	#63452, #63450, #63449
4	Agent Model / Failure Diagnostics (model, agent, workflow, failure)	95	#63433, #63432, #63415
5	Cloud Hypervisor / Sandbox Trust (cloud hypervisor, hypervisor, cloud, trusted)	79	#62405, #62402, #62396
6	Squad Planner / Game Planning Agents (planner, squad, game)	67	#63429, #63428, #63427
7	Tool Permission / Denial Reports (details, tool, summary, tool denials)	65	#63441, #63407, #63383
8	Discussion/Comment Automation (body, number, discussion, nbash)	51	#63442, #63401, #63396

📊 Key Metrics

Volume Metrics

• Total Issues Analyzed (issues_analyzed): 1000 (Scope: Last 1000 issues)
• Open Issues (open_issues): 179 (17.9%)
• Closed Issues (closed_issues): 821 (82.1%)

Time-Based Metrics

• Issues Opened (Last 7 Days) (issues_opened_7d): 1000 (capped by dataset window — see caveat above)
• Issues Opened (Last 30 Days) (issues_opened_30d): 1000 (capped by dataset window — see caveat above)
• Average Time to Close: ~12h 54m

Triage Metrics

• Issues Without Labels (issues_without_labels): 191
• Issues Without Assignees (issues_without_assignees): 957
• Stale Issues (30+ days) (stale_issues): 0

🏆 Top Labels

Label	Issue Count
agentic-workflows	555
cascade-suspected	196
automation	129
cookie	95
code-quality	45
improvement	45
quick-win	42
task-mining	42
squad:plan	41
testing	36

👥 Most Active Authors

Author	Issues Created
@app/github-actions	931
@app/cao-githubnext-gh-aw-cao-write	27
@ekbritecore	4
@lpcox	4
@theletterf	3
@benissimo	3
@JeffreyCA	3
@fr4nc1sc0-r4m0n	3
@niebloomj	2
@jaroslawgajewski	2

⚠️ Issues Needing Attention

Stale Issues (No Activity 30+ Days)

None found — all tracked issues fall within the most recent 5-day window.

Unlabeled Issues

• [aw] Daily Go Test Parallelizer produced no safe outputs #63452: [WIP] Daily Go Test Parallelizer: work in progress
• [aw] Daily Agent of the Day Blog Writer failed #63450: [WIP] Daily Agent of the Day Blog Writer: work in progress
• [agentic-token-audit] Daily AIC Usage Audit — 2026-09-25 #63420: [agentic-token-audit] Daily AIC Usage Audit — 2026-09-25
• push_repo_memory retry never refreshes its base: git ls-remote origin runs without credentials #63416: push_repo_memory retry never refreshes its base: git ls-remote origin runs without credentials
• upload_code_scanning_sarif job omits needs: activation, breaking SARIF upload for workflow_call workflows #63395: upload_code_scanning_sarif job omits needs: activation, breaking SARIF upload for workflow_call workflows
• [WIP] Daily Rendering Scripts Verifier: work in progress #63390: [WIP] Daily Rendering Scripts Verifier: work in progress
• [model-resolution] Daily Sub-Agent Model Resolution Audit — 2026-09-25 #63367: [model-resolution] Daily Sub-Agent Model Resolution Audit — 2026-09-25
• [copilot-cli-research] Copilot CLI Deep Research - 2026-09-25 #63340: [copilot-cli-research] Copilot CLI Deep Research - 2026-09-25
• [WIP] Smoke Project: work in progress #63277: [WIP] Smoke Project: work in progress
• Preserve review provenance marker for supersede-older-reviews #63264: Preserve review provenance marker for supersede-older-reviews

📝 Recommendations

1. Triage the two genuine engineering issues surfaced above — push_repo_memory retry never refreshes its base: git ls-remote origin runs without credentials #63416 (push_repo_memory retry credential bug) and upload_code_scanning_sarif job omits needs: activation, breaking SARIF upload for workflow_call workflows #63395 (upload_code_scanning_sarif missing needs: activation) look like real defects worth labeling and assigning, distinct from the bot-lifecycle noise.
2. Add default labels to WIP/tracker issues at creation time so the 191 currently unlabeled issues (mostly [WIP] ... and daily-report trackers) don't inflate the "needs triage" count; consider a dedicated bot-tracker label to filter them out of human triage views going forward.
3. Investigate the Cloud Hypervisor / Sandbox Trust cluster (79 issues) as a batch — if these stem from a single recurring infrastructure failure, a root-cause fix could eliminate a large slice of repeat issue volume.
4. Extend the analysis window in future reports: since the last 1000 issues only cover ~5 days here, 7-day and 30-day "opened" metrics are effectively saturated at 1000 and understate longer-term trend granularity. Consider paginating further back for trend charts specifically.

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Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw

Generated by 📅 Daily Issues Report Generator · copilot · auto · 38 AIC · ⌖ 10.6 AIC · ⊞ 13.6K · ◷

• expires on Sep 28, 2026, 6:43 AM UTC-08:00

[github-actions[bot]]

This discussion has been marked as outdated by Daily Issues Report Generator.

A newer discussion is available at Discussion #63638.