zhuchenxi113/ai-limit - Open Source PR Review Scorecard

A tool to monitor Claude Code and CodeX usage limits, quota, and token consumption — with both CLI and GUI | 实时监控 Claude Code 与 Codex 的用量、配额和 Token 消耗,支持 CLI 与 GUI 双模式

C-Rank Grade: B (Solid) - 48/100

External PR Merge Rate: 100%

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is zhuchenxi113/ai-limit welcoming to first-time open-source contributors?

zhuchenxi113/ai-limit 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 zhuchenxi113/ai-limit 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 47.8 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 47.8 places zhuchenxi113/ai-limit in the B tier.

What is the external contributor pull request merge rate for zhuchenxi113/ai-limit?

The external contributor pull request merge rate for zhuchenxi113/ai-limit is 100.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in zhuchenxi113/ai-limit?

zhuchenxi113/ai-limit does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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zhuchenxi113/ai-limit

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BSolid(48/100)Python

A tool to monitor Claude Code and CodeX usage limits, quota, and token consumption — with both CLI and GUI | 实时监控 Claude Code 与 Codex 的用量、配额和 Token 消耗,支持 CLI 与 GUI 双模式

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Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
100.0%
High acceptance rate for external PRs

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
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
100.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe40/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for zhuchenxi113/ai-limit
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/zhuchenxi113/ai-limit)](https://getmerged.abhishekco.de/zhuchenxi113/ai-limit?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for zhuchenxi113/ai-limit.

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 zhuchenxi113/ai-limit

When evaluating whether to contribute to zhuchenxi113/ai-limit, 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 zhuchenxi113/ai-limit acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 100.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to zhuchenxi113/ai-limit

01

Is zhuchenxi113/ai-limit welcoming to first-time open-source contributors?

zhuchenxi113/ai-limit 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 47.8 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 47.8 places zhuchenxi113/ai-limit in the Solid tier.

04

What is the external contributor pull request merge rate for zhuchenxi113/ai-limit?

The external pull request merge rate is 100.0%. 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 zhuchenxi113/ai-limit?

zhuchenxi113/ai-limit 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 zhuchenxi113/ai-limit 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.