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Activity Consistency

What it measures: How consistently the contributor has been active over the analysis period.

Why it matters: Consistent activity over time indicates genuine engagement with open source. Burst activity patterns (e.g., many contributions in a single day) can be a sign of spam or AI-generated contributions.

How It's Calculated

Consistency Score = Months with Activity / Total Months in Analysis Window

Activity Definition:

  • A month is considered "active" if the contributor created at least one PR during that month
  • Only months within the analysis window are considered

Data Sources:

  • GitHub GraphQL API: user.pullRequests.nodes[].createdAt
  • Grouped by month to count unique active months

Configuration

Input Default Description
threshold-activity-consistency 0 Minimum consistency score (0-1)
analysis-window 12 Months of history to analyze

Example

For a 12-month analysis window:

  • 12 months with activity: 100% consistency (1.0)
  • 6 months with activity: 50% consistency (0.5)
  • 1 month with activity: 8.3% consistency (0.083)

Edge Cases

  • New accounts with less history than the analysis window are evaluated on available months
  • If account is newer than analysis window, only counts months since account creation
  • Months with only closed (not merged) PRs still count as active

How to Improve

  • Contribute regularly over time rather than in bursts
  • Set aside time each month for open source contributions
  • Start with small, manageable contributions you can sustain