You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The repository remains highly active over the last 90 days, with strong pull-request throughput and a steady issue-resolution cadence in the currently accessible data. The recent PR sample shows more than two thirds of observed PRs merged, while issue closure is also keeping pace with intake.
Operationally, the biggest positive signal is responsiveness: average PR merge time is about 6.1 hours and average issue close time is about 11.1 hours. The main weakness is discussion follow-through — the recent discussion sample contains 0 accepted answers, which is worth monitoring if those threads are expected to reach explicit resolution.
This run attempted to use the required MCP query tools first, but the rolling-window PR and issue queries timed out against the current repository volume. To complete the report, the analysis fell back to GitHub GraphQL reads for recent data. As a result, backlog counts are current snapshots, but some rolling metrics come from recent updated subsets rather than a fully paginated 90-day corpus.
Key Highlights
✅ 63 PRs merged in the analyzed recent window
📊 30 issues resolved
💬 0 discussions answered
⏱️ Average merge time: 6.1 hours
👥 3 unique contributors in the PR sample
🚨 Critical Performance Issues
Discussion answer rate is 0% in the sampled discussion set, suggesting unanswered conversations may be accumulating.
📈 Activity Overview
Pull requests lead overall observed activity, followed by issues, with discussions still representing a meaningful collaboration channel. The mix suggests the project remains execution-heavy, with code change throughput outpacing conversation resolution.
📊 Detailed Benchmark Results
🎯 Resolution Metrics
Observed PR throughput remains strong, with merged PRs substantially outnumbering the current open backlog within the sampled data. Issues show a larger open backlog snapshot than 90-day closures, indicating maintainers are closing work quickly but still carrying a sizable queue.
⚡ Velocity Metrics
Average merge and close times are both low, which points to fast review and triage loops. The lowest-performing metric is discussion answer rate, currently at 0.0%, suggesting project discussion hygiene may lag behind code-path responsiveness.
📊 Complete Performance Data
Pull Requests
Metric
Value
Total PRs
94
Merged
63
Open
13
Avg Merge Time
6.1 hours
Unique Contributors
3
Issues
Metric
Value
Total Issues
77
Closed
30
Open
79
Avg Resolution Time
11.1 hours
Discussions
Metric
Value
Total Discussions
100
Answered
0
Answer Rate
0.0%
📈 Historical Comparisons
No historical comparison baseline was prepared beyond appending this run to cache memory. Current limitations: Discussion metrics are based on the 100 most recently updated discussions returned by GitHub GraphQL, filtered to the 90-day window.
💡 Optimization Recommendations
Paginate the PR and issue data collection path so the report can cover the full 90-day window without relying on the most recently updated subset.
Investigate why the recent discussion sample has no accepted answers and decide whether maintainers should explicitly close the loop on more threads.
Monitor contributor concentration: only a few distinct PR authors appear in the recent PR sample, which may indicate a bus-factor risk if sustained.
Report generated automatically by the Daily Performance Summary workflow Data source: github/gh-aw - last 90 days target window with current-run fallback sampling where MCP rolling queries timed out Powered by Safe-Input Tools - GitHub queries exposed as MCP tools
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
Performance Overview
The repository remains highly active over the last 90 days, with strong pull-request throughput and a steady issue-resolution cadence in the currently accessible data. The recent PR sample shows more than two thirds of observed PRs merged, while issue closure is also keeping pace with intake.
Operationally, the biggest positive signal is responsiveness: average PR merge time is about 6.1 hours and average issue close time is about 11.1 hours. The main weakness is discussion follow-through — the recent discussion sample contains 0 accepted answers, which is worth monitoring if those threads are expected to reach explicit resolution.
This run attempted to use the required MCP query tools first, but the rolling-window PR and issue queries timed out against the current repository volume. To complete the report, the analysis fell back to GitHub GraphQL reads for recent data. As a result, backlog counts are current snapshots, but some rolling metrics come from recent updated subsets rather than a fully paginated 90-day corpus.
Key Highlights
🚨 Critical Performance Issues
Discussion answer rate is 0% in the sampled discussion set, suggesting unanswered conversations may be accumulating.
📈 Activity Overview
Pull requests lead overall observed activity, followed by issues, with discussions still representing a meaningful collaboration channel. The mix suggests the project remains execution-heavy, with code change throughput outpacing conversation resolution.
📊 Detailed Benchmark Results
🎯 Resolution Metrics
Observed PR throughput remains strong, with merged PRs substantially outnumbering the current open backlog within the sampled data. Issues show a larger open backlog snapshot than 90-day closures, indicating maintainers are closing work quickly but still carrying a sizable queue.
⚡ Velocity Metrics
Average merge and close times are both low, which points to fast review and triage loops. The lowest-performing metric is discussion answer rate, currently at 0.0%, suggesting project discussion hygiene may lag behind code-path responsiveness.
📊 Complete Performance Data
Pull Requests
Issues
Discussions
📈 Historical Comparisons
No historical comparison baseline was prepared beyond appending this run to cache memory. Current limitations: Discussion metrics are based on the 100 most recently updated discussions returned by GitHub GraphQL, filtered to the 90-day window.
💡 Optimization Recommendations
Report generated automatically by the Daily Performance Summary workflow
Data source: github/gh-aw - last 90 days target window with current-run fallback sampling where MCP rolling queries timed out
Powered by Safe-Input Tools - GitHub queries exposed as MCP tools
All reactions