Every insight rule, its trigger conditions, confidence scoring, and real-world examples.
Insights are actionable intelligence derived from repository metrics. Unlike raw numbers, insights provide specific recommendations based on patterns in the data.
Each insight triggered by specific metric thresholds
0-1 rating indicating insight reliability
Specific recommendations for improvement
Insights about commit frequency, recency, and development velocity
Insights about issue response times and PR merge velocity
Insights about community adoption and popularity trends
Insights about issue resolution and project upkeep
Insights about contributor distribution and community breadth
commitFrequency < 0.1 (less than 9 commits in 90 days)commitFrequency > 2 (more than 180 commits in 90 days)lastCommitAge > 30 daysissueResponseTime > 168 hours (7 days)prMergeVelocity > 14 daysstars > 1000 AND starGrowthRate < 1issueResolutionRate < 0.5openIssues > 50 AND averageIssueAge > 90 daysprAcceptanceRate > 0.8contributorDiversity < 0.3contributors > 10 AND contributorDiversity > 0.5Every insight includes a confidence score (0-1) indicating how reliable the insight is based on data quality and pattern strength.
Focus on the most critical issues first based on insight levels and confidence scores.
Each insight provides specific evidence and context for making informed decisions.
Track how insights change over time to measure the impact of maintenance efforts.
Use insights to communicate project health and priorities to contributors.