Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.
C-Rank Grade: A (Welcoming) - 64/100
External PR Merge Rate: 77%
Response Time: 2d
First Timer Success: 63%
mckinsey/agents-at-scale-ark has a recorded first-timer success rate of 62.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in mckinsey/agents-at-scale-ark respond to incoming external pull requests in approximately 51.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 63.9 places mckinsey/agents-at-scale-ark in the A tier.
The external contributor pull request merge rate for mckinsey/agents-at-scale-ark is 77.2%, based on public PR activity from non-core contributors.
mckinsey/agents-at-scale-ark currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/mckinsey/agents-at-scale-ark?utm_source=github&utm_medium=badge)
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 12:00 UTC (12:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 10:00 to 14:00 UTC (10:00 - 14:00 UTC local).
Limited recent maintainer review activity recorded for this repository. Prediction based on heuristic baseline.
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This repository currently has 4 open good first issue tickets available for newcomers.
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When evaluating whether to contribute to mckinsey/agents-at-scale-ark, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of mckinsey/agents-at-scale-ark acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 77.2% were successfully merged into the primary branch.
mckinsey/agents-at-scale-ark has a recorded first-timer success rate of 62.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 63.9 places mckinsey/agents-at-scale-ark in the Welcoming tier.
The external pull request merge rate is 77.2%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, mckinsey/agents-at-scale-ark currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for mckinsey/agents-at-scale-ark are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.