为人与 Agent 协作而生的一站式科研工作台
C-Rank Grade: S (Elite) - 73/100
External PR Merge Rate: 79%
Response Time: -
First Timer Success: 100%
poco-ai/Agentero has a recorded first-timer success rate of 100.0%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in poco-ai/Agentero 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.
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 72.7 places poco-ai/Agentero in the S tier.
The external contributor pull request merge rate for poco-ai/Agentero is 78.8%, based on public PR activity from non-core contributors.
poco-ai/Agentero currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Active maintainer team in poco-ai/Agentero welcoming community pull requests and bug fixes.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/poco-ai/Agentero?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
Calculating local time...
Calculating local time...
Detected: UTC
Maintainers are most responsive around 02:00 UTC (02:00 UTC in your timezone). Recommended submission window is Monday - Wednesday from 02:00 to 06:00 UTC (02:00 - 06:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~16 hours (96% approval). Large PRs (>500 lines) take ~115 hours (35% approval). Keep your diff compact for rapid review.
可以跳转到命令行，输入登录指令，比如Codex Login或者Kimi Login。 呈现形式是在设置页面，每个Agent的卡片的右侧加一个登录的按钮。安装了且检测到没有登录的时候再显示。 #535
feat/latex-translation 需要和现有链路打通，作为一种可选的翻译显示方式 目前是原地OCR保排版、双栏，可以选择latex翻译（双栏/原地） 交互方式 入口
问题或场景 我是Endnote用户，在使用该软件时，发现可以同步zotero数据库，但是无法同步Endnote数据库 期望的解决方案 我希望可以增加Endnote数据库导入，这样市面上主流的文献管理软件对应的数据库都可以导入Agentero中了 替代方案 No response 补充信息 No response
Rate what actually matters after opening a pull request here.
Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.
When evaluating whether to contribute to poco-ai/Agentero, 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 poco-ai/Agentero acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 78.8% were successfully merged into the primary branch.
poco-ai/Agentero has a recorded first-timer success rate of 100.0%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 72.7 places poco-ai/Agentero in the Elite tier.
The external pull request merge rate is 78.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, poco-ai/Agentero currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for poco-ai/Agentero 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.