openshift/machine-config-operator - Open Source PR Review Scorecard

C-Rank Grade: B (Solid) - 49/100

External PR Merge Rate: 64%

Response Time: 1d

First Timer Success: 45%

Frequently Asked Questions

Is openshift/machine-config-operator welcoming to first-time open-source contributors?

openshift/machine-config-operator has a recorded first-timer success rate of 45.0%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in openshift/machine-config-operator respond to incoming external pull requests in approximately 31.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 48.5 C-Rankâ„¢ score (B Tier) represent?

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 48.5 places openshift/machine-config-operator in the B tier.

What is the external contributor pull request merge rate for openshift/machine-config-operator?

The external contributor pull request merge rate for openshift/machine-config-operator is 64.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in openshift/machine-config-operator?

openshift/machine-config-operator does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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openshift/machine-config-operatorB•Solid268
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openshift/machine-config-operator

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.6/10
Patience Score
8.2/10
Nitpick Rate
25%

Collaborative maintainer environment in openshift/machine-config-operator. Reviews community pull requests with focus on project quality.

Top PR Submission Do's

  • •Follow maintainer feedback from recent PR reviews

Top PR Friction Pitfalls (Don'ts)

  • •Do not ignore unresolved maintainer review comments
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
64.0%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
45.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
51 core
Highly collaborative maintainer core
Diagnostic Health HUD
64.0%
Merge Gauge
45.0%
1st-Timer
Community Vibe45/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for openshift/machine-config-operator
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/openshift/machine-config-operator)](https://getmerged.abhishekco.de/openshift/machine-config-operator?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for openshift/machine-config-operator.

View all good first issues directly on GitHub

Looking for more Go beginner tasks?Explore Go GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
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Beginner friendliness

Contributor Compatibility & Review Speed Analysis for openshift/machine-config-operator

When evaluating whether to contribute to openshift/machine-config-operator, 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 openshift/machine-config-operator acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 64.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to openshift/machine-config-operator

01

Is openshift/machine-config-operator welcoming to first-time open-source contributors?

openshift/machine-config-operator has a recorded first-timer success rate of 45.0%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 48.5 C-Rankâ„¢ score represent?

The C-Rankâ„¢ 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 48.5 places openshift/machine-config-operator in the Solid tier.

04

What is the external contributor pull request merge rate for openshift/machine-config-operator?

The external pull request merge rate is 64.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in openshift/machine-config-operator?

openshift/machine-config-operator does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rankâ„¢ Indexing Standard

All metrics displayed for openshift/machine-config-operator 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.