scaleapi/agentenv-framework - Open Source PR Review Scorecard

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

C-Rank Grade: B (Solid) - 52/100

External PR Merge Rate: 11%

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is scaleapi/agentenv-framework welcoming to first-time open-source contributors?

scaleapi/agentenv-framework has a recorded first-timer success rate of 0.0%. 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 scaleapi/agentenv-framework respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 51.9 C-Rank™ 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 51.9 places scaleapi/agentenv-framework in the B tier.

What is the external contributor pull request merge rate for scaleapi/agentenv-framework?

The external contributor pull request merge rate for scaleapi/agentenv-framework is 11.1%, based on public PR activity from non-core contributors.

Are there Good First Issues available in scaleapi/agentenv-framework?

scaleapi/agentenv-framework does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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scaleapi/agentenv-frameworkB•Solid255
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scaleapi/agentenv-framework

255
Active (30d)B•Solid(52/100)Low Sample (<20 PRs)Python

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
6.6/10
Patience Score
7.6/10
Nitpick Rate
35%

Strict review standards in scaleapi/agentenv-framework. Ensure PR scope matches issue requirements closely before requesting review.

What Contributors Actually Say

Discussions in scaleapi/agentenv-framework focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Add or update tests for changed behavior before requesting review
  • •Update docs or README when behavior changes
  • •Link the issue and include reproduction context in the PR

Top PR Friction Pitfalls (Don'ts)

  • •Do not leave requested test coverage unresolved
  • •Do not ship user-facing changes without matching docs
  • •Do not open context-free PRs
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
11.1%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
6 core
Highly collaborative maintainer core
Diagnostic Health HUD
11.1%
Merge Gauge
0.0%
1st-Timer
Community Vibe4/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for scaleapi/agentenv-framework.

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
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Contributor Compatibility & Review Speed Analysis for scaleapi/agentenv-framework

When evaluating whether to contribute to scaleapi/agentenv-framework, 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 scaleapi/agentenv-framework acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 11.1% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to scaleapi/agentenv-framework

01

Is scaleapi/agentenv-framework welcoming to first-time open-source contributors?

scaleapi/agentenv-framework has a recorded first-timer success rate of 0.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 51.9 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 51.9 places scaleapi/agentenv-framework in the Solid tier.

04

What is the external contributor pull request merge rate for scaleapi/agentenv-framework?

The external pull request merge rate is 11.1%. 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 scaleapi/agentenv-framework?

scaleapi/agentenv-framework does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for scaleapi/agentenv-framework 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.