Mercor-Intelligence/archipelago - Open Source PR Review Scorecard

Harness for running and evaluating AI agents against RL environments

C-Rank Grade: C (Moderate) - 30/100

External PR Merge Rate: 14%

Response Time: 14d

First Timer Success: 33%

Frequently Asked Questions

Is Mercor-Intelligence/archipelago welcoming to first-time open-source contributors?

Mercor-Intelligence/archipelago has a recorded first-timer success rate of 33.3%. Repositories ranked C 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 Mercor-Intelligence/archipelago respond to incoming external pull requests in approximately 341.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 29.9 C-Rankâ„¢ score (C 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 29.9 places Mercor-Intelligence/archipelago in the C tier.

What is the external contributor pull request merge rate for Mercor-Intelligence/archipelago?

The external contributor pull request merge rate for Mercor-Intelligence/archipelago is 13.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Mercor-Intelligence/archipelago?

Mercor-Intelligence/archipelago does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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Mercor-Intelligence/archipelagoC•Moderate229
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Mercor-Intelligence

Mercor-Intelligence/archipelago

229
C•Moderate(30/100)Python

Harness for running and evaluating AI agents against RL environments

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Growing Python project in Mercor-Intelligence/archipelago welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with Python style conventions
  • •Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
14 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
13.6%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
33.3%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
13.6%
Merge Gauge
33.3%
1st-Timer
Community Vibe15/100

Embed C-Rank Badge

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for Mercor-Intelligence/archipelago.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

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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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Contributor Compatibility & Review Speed Analysis for Mercor-Intelligence/archipelago

When evaluating whether to contribute to Mercor-Intelligence/archipelago, 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 Mercor-Intelligence/archipelago acknowledge new external contributions in approximately 14 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 13.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Mercor-Intelligence/archipelago

01

Is Mercor-Intelligence/archipelago welcoming to first-time open-source contributors?

Mercor-Intelligence/archipelago has a recorded first-timer success rate of 33.3%. Repositories ranked Moderate 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 ~14 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 29.9 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 29.9 places Mercor-Intelligence/archipelago in the Moderate tier.

04

What is the external contributor pull request merge rate for Mercor-Intelligence/archipelago?

The external pull request merge rate is 13.6%. 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 Mercor-Intelligence/archipelago?

Mercor-Intelligence/archipelago 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 Mercor-Intelligence/archipelago 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.