Metabuilder-Labs/tokenjam - Open Source PR Review Scorecard

Token Efficiency For AI Agents

C-Rank Grade: S (Elite) - 78/100

External PR Merge Rate: 91%

Response Time: 21h

First Timer Success: 85%

Frequently Asked Questions

Is Metabuilder-Labs/tokenjam welcoming to first-time open-source contributors?

Metabuilder-Labs/tokenjam has a recorded first-timer success rate of 84.6%. Repositories ranked S 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 Metabuilder-Labs/tokenjam respond to incoming external pull requests in approximately 20.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 77.5 C-Rank™ score (S 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 77.5 places Metabuilder-Labs/tokenjam in the S tier.

What is the external contributor pull request merge rate for Metabuilder-Labs/tokenjam?

The external contributor pull request merge rate for Metabuilder-Labs/tokenjam is 90.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Metabuilder-Labs/tokenjam?

Metabuilder-Labs/tokenjam currently has 41 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Token Efficiency For AI Agents

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.4/10
Patience Score
7.8/10
Nitpick Rate
55%

Strict review standards in Metabuilder-Labs/tokenjam. Ensure PR scope matches issue requirements closely before requesting review.

Top PR Submission Do's

  • Ensure code complies with the project coding style
  • Keep PRs scoped to a single concern
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not submit PRs without linking an issue
  • Do not break existing tests without fixing them
  • Do not mix unrelated refactors in a single PR
Response Velocity
20 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
90.7%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
84.6%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
6 core
Highly collaborative maintainer core
Diagnostic Health HUD
90.7%
Merge Gauge
84.6%
1st-Timer
Community Vibe76/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for Metabuilder-Labs/tokenjam
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/Metabuilder-Labs/tokenjam)](https://getmerged.abhishekco.de/Metabuilder-Labs/tokenjam?utm_source=github&utm_medium=badge)

Active Good First Issues (41)

View on GitHub

This repository currently has 41 open good first issue tickets available for newcomers.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python 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
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for Metabuilder-Labs/tokenjam

When evaluating whether to contribute to Metabuilder-Labs/tokenjam, 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 Metabuilder-Labs/tokenjam acknowledge new external contributions in approximately 20 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 90.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Metabuilder-Labs/tokenjam

01

Is Metabuilder-Labs/tokenjam welcoming to first-time open-source contributors?

Metabuilder-Labs/tokenjam has a recorded first-timer success rate of 84.6%. Repositories ranked Elite 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 ~20 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 77.5 C-Rank™ score represent?

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 77.5 places Metabuilder-Labs/tokenjam in the Elite tier.

04

What is the external contributor pull request merge rate for Metabuilder-Labs/tokenjam?

The external pull request merge rate is 90.7%. 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 Metabuilder-Labs/tokenjam?

Yes, Metabuilder-Labs/tokenjam currently has 41 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for Metabuilder-Labs/tokenjam 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.