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1,000 issues analyzed — 214 open (21%), 786 closed (79%), all created within the last 6 days
The repository's issue tracker is dominated by automated agentic-workflow activity: nearly all of the last 1,000 issues were opened by app/github-actions, and clustering reveals the bulk concern workflow failures, agent runs, and work-in-progress tracking rather than traditional bug reports or feature requests. Closure is extremely fast — an average of just 12 hours — indicating short-lived automation issues (e.g., run trackers, WIP placeholders) rather than long-running engineering work.
The most notable gap is triage hygiene: 158 issues (16%) carry no labels at all, concentrated almost entirely in "[WIP]" work-in-progress placeholders from automated agents. No issues are stale (30+ days with no activity), reflecting the fast churn of this automation-heavy issue stream.
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📈 Issue Activity Trends
Issue volume is heavily concentrated in the most recent days of the sampled window, with opened and closed counts closely tracking each other — a signature of automated, self-closing workflow issues rather than organically reported bugs.
🏷️ Issue Clusters by Theme
The largest cluster ("failure, agent, workflow") accounts for over a third of all issues, pointing to workflow-failure reporting as the dominant issue type. The second-largest cluster reflects general gh aw workflow tooling discussion.
Auto-label "[WIP]" placeholder issues at creation time (e.g., a wip or automation label) to eliminate the 158-issue unlabeled backlog and improve dashboard/triage accuracy.
Given 944 of 1,000 issues have no assignee, confirm this is expected for automation-generated tracking issues; if manual follow-up is ever needed, add default bot-assignee logic.
Investigate the "failure, agent, workflow" cluster (341 issues, the largest by far) to identify recurring workflow failure patterns that could be fixed at the root cause rather than tracked issue-by-issue.
Consider auto-closing or archiving very short-lived tracker issues (avg. close time 12 hours) faster or consolidating them, since they add high volume without long-term signal value.
Report generated automatically by the Daily Issues Report workflow Data source: Last 1000 issues from github/gh-aw
Warning
Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
api.github.com
[!TIP] api.github.com is blocked because GitHub API access uses the built-in GitHub tools by default. Instead of adding api.github.com to network.allowed, use tools.github.mode: gh-proxy for direct pre-authenticated GitHub CLI access without requiring network access to api.github.com:
tools:
github:
mode: gh-proxy
See GitHub Tools for more information on gh-proxy mode.
To allow these domains, add them to the network.allowed list in your workflow frontmatter:
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Summary
1,000 issues analyzed — 214 open (21%), 786 closed (79%), all created within the last 6 days
The repository's issue tracker is dominated by automated agentic-workflow activity: nearly all of the last 1,000 issues were opened by
app/github-actions, and clustering reveals the bulk concern workflow failures, agent runs, and work-in-progress tracking rather than traditional bug reports or feature requests. Closure is extremely fast — an average of just 12 hours — indicating short-lived automation issues (e.g., run trackers, WIP placeholders) rather than long-running engineering work.The most notable gap is triage hygiene: 158 issues (16%) carry no labels at all, concentrated almost entirely in "[WIP]" work-in-progress placeholders from automated agents. No issues are stale (30+ days with no activity), reflecting the fast churn of this automation-heavy issue stream.
View Full Details
📈 Issue Activity Trends
Issue volume is heavily concentrated in the most recent days of the sampled window, with opened and closed counts closely tracking each other — a signature of automated, self-closing workflow issues rather than organically reported bugs.
🏷️ Issue Clusters by Theme
The largest cluster ("failure, agent, workflow") accounts for over a third of all issues, pointing to workflow-failure reporting as the dominant issue type. The second-largest cluster reflects general
gh awworkflow tooling discussion.Cluster Details
📊 Key Metrics
Volume Metrics
issues_analyzed): 1,000 (Scope: Last 1000 issues)open_issues): 214 (21.4%)closed_issues): 786 (78.6%)Time-Based Metrics
issues_opened_7d): 1,000issues_opened_30d): 1,000Triage Metrics
issues_without_labels): 158issues_without_assignees): 944stale_issues): 0🏆 Top Labels
👥 Most Active Authors
@app/github-actions@lpcox@v1v@dsyme@kkruel8100@danielmeppiel@sigh71@mwpastore@ilja@Fahhd1400Stale Issues (No Activity 30+ Days)
None — all sampled issues have had activity within the last 30 days.
Unlabeled Issues (sample)
📝 Recommendations
wiporautomationlabel) to eliminate the 158-issue unlabeled backlog and improve dashboard/triage accuracy.Report generated automatically by the Daily Issues Report workflow
Data source: Last 1000 issues from github/gh-aw
Warning
Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
api.github.com[!TIP]
api.github.comis blocked because GitHub API access uses the built-in GitHub tools by default. Instead of addingapi.github.comtonetwork.allowed, usetools.github.mode: gh-proxyfor direct pre-authenticated GitHub CLI access without requiring network access toapi.github.com:See GitHub Tools for more information on
gh-proxymode.To allow these domains, add them to the
network.allowedlist in your workflow frontmatter:See Network Configuration for more information.
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