urzeye/ophel - Open Source PR Review Scorecard

Turn AI conversations into organized, reusable workflows — across major AI platforms. | 把 AI 对话转化为可组织、可复用的工作流,适用于主流 AI 平台

C-Rank Grade: A (Welcoming) - 61/100

External PR Merge Rate: 88%

Response Time: -

First Timer Success: 50%

Frequently Asked Questions

Is urzeye/ophel welcoming to first-time open-source contributors?

urzeye/ophel has a recorded first-timer success rate of 50.0%. Repositories ranked A 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 urzeye/ophel 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 61.3 C-Rank™ score (A 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 61.3 places urzeye/ophel in the A tier.

What is the external contributor pull request merge rate for urzeye/ophel?

The external contributor pull request merge rate for urzeye/ophel is 87.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in urzeye/ophel?

urzeye/ophel does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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urzeye/ophel

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InactiveA•Welcoming(61/100)TypeScript

Turn AI conversations into organized, reusable workflows — across major AI platforms. | 把 AI 对话转化为可组织、可复用的工作流,适用于主流 AI 平台

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.0/10
Patience Score
8.4/10
Nitpick Rate
25%

Highly welcoming maintainers in urzeye/ophel. Prompt code reviews with positive guidance for new contributors.

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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
87.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
4 core
Small core review team
Diagnostic Health HUD
87.8%
Merge Gauge
50.0%
1st-Timer
Community Vibe50/100

Embed C-Rank Badge

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

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

Active Good First Issues (2)

View on GitHub

中文 ChatGPT 最近每天都在偷偷改页面结构,Ophel 的适配和发版节奏已经跟不上它改 DOM 的速度。我恨它! 这不是单个偶发 bug,而是一个持续维护风险:ChatGPT 的页面结构、属性、虚拟滚动和原生 TOC 行为频繁变化,导致我们刚适配完、刚发版,几天后又失效。 这次的具体例子:原生 TOC / 用户问题大纲 在 1.0.57 附近,我们已经适配过 ChatGPT 页面原生 TOC,用它作为大纲里的用户问题来源。旧逻辑假设 TOC rail 里有 Prompt N 按钮,并且问题文本可以从已挂载的 TOC 标题节点中读取。 但最近 ChatGPT 又改了: TOC 未悬浮时,button 的 aria-label 是 Prompt 1、Prompt 2 这种占位文本。 TOC 悬浮后,同一批 button 的 aria-label 才会被动态替换成真实用户问题。 如果不触发 hover,就读不到完整问题文本。 如果回退到当前 DOM 消息节点,由于 ChatGPT 长会话虚拟滚动,只能拿到当前

📅 Opened Jun 9, 2026💬 0 comments
Quality: 80/100Contribute

Hello community! 👋 We've been working hard to make Ophel the best AI assistant for Gemini, ChatGPT, Claude, and more. We believe Ophel can significantly improve people's productivity and reading experience. However, building a great tool is only half the battle. We need YOUR help to let the world know about it! 🌍 How you can help: Share on Social Media: Tweet about Ophel on X (Twitter), share it on Reddit (e.g., r/ChromeExtensions, r/ArtificialInteligence, r/OpenAI), or post on Hacker News. Product Hunt: If you haven't already, please support our upcoming launch on Product Hunt! (Link TBD) Blog & Video: Write a blog post or make a short video review on YouTube/TikTok. Connect with Influencers: If you know any tech KOLs, YouTubers, or bloggers (especially in the English-speaking world) who review AI tools or browser extensions, please recommend Ophel to them! Mentioning them in this thread or tagging them on social media would be amazing. If you have shared Ophel somewhere, plea

📅 Opened Jan 28, 2026💬 6 comments
Quality: 70/100Contribute
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Contributor Community Vibe Feedback

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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 urzeye/ophel

When evaluating whether to contribute to urzeye/ophel, 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 urzeye/ophel acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 87.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to urzeye/ophel

01

Is urzeye/ophel welcoming to first-time open-source contributors?

urzeye/ophel has a recorded first-timer success rate of 50.0%. Repositories ranked Welcoming 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 61.3 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 61.3 places urzeye/ophel in the Welcoming tier.

04

What is the external contributor pull request merge rate for urzeye/ophel?

The external pull request merge rate is 87.8%. 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 urzeye/ophel?

urzeye/ophel 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 urzeye/ophel 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.