agavra/tuicr - Open Source PR Review Scorecard

a code review TUI with vim keybindings

C-Rank Grade: S (Elite) - 70/100

External PR Merge Rate: 78%

Response Time: -

First Timer Success: 82%

Frequently Asked Questions

Is agavra/tuicr welcoming to first-time open-source contributors?

agavra/tuicr has a recorded first-timer success rate of 81.6%. Repositories ranked S 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 agavra/tuicr 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 70.3 C-Rank™ score (S 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 70.3 places agavra/tuicr in the S tier.

What is the external contributor pull request merge rate for agavra/tuicr?

The external contributor pull request merge rate for agavra/tuicr is 78.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in agavra/tuicr?

agavra/tuicr currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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agavra/tuicrS•Elite3.3k
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agavra/tuicr

3,343
Active (30d)S•Elite(70/100)Rust

a code review TUI with vim keybindings

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.5/10
Patience Score
9.2/10
Nitpick Rate
30%

Highly welcoming maintainers in agavra/tuicr. 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
78.4%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
81.6%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
70 core
Highly collaborative maintainer core
Diagnostic Health HUD
78.4%
Merge Gauge
81.6%
1st-Timer
Community Vibe56/100

Embed C-Rank Badge

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

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

Active Good First Issues (5)

View on GitHub

Hi We currently have a single project where we have chosed to add a quite large, but generated .js file to git. But if changes occur to this file, tuicr simply stalls up trying to calculate syntax highlighting for this file. We can now, ignore this by creating a filter on command line with -p which filters out the troublesome file, but this is quite a hassle. It could therefore be great if tuicr honored the linguist-generated=true statement in .gitattributes and simply filters out those files from the PR.

📅 Opened Aug 11, 2026💬 0 comments
Quality: 40/100Contribute

Issue created with the assistance of Claude Opus 5. Summary Once a review session accumulates enough comment text, the whole TUI becomes sluggish. This is not limited to typing a reply - scrolling, navigation, and general redraw are all affected, and the cost is paid for comments that are scrolled far off screen. Comment bodies are re-highlighted through syntect's Markdown grammar on every render frame, with no memoization, and the renderer's viewport culling does not cover the comment branch. So per-frame cost grows with the total amount of comment text in the session rather than with what is visible. Symptoms Scrolling and navigation become visibly sluggish across the whole diff, not only near a large comment. Typing in the comment box is the worst case, because comment-input mode disables viewport culling entirely. Deleting large comments improves responsiveness incrementally, and the improvement tracks how much total comment text was removed. Measurements Bodies were posted with t

📅 Opened Aug 4, 2026💬 5 comments
Quality: 60/100Contribute

I find that I use Forgejo more and more besides the two large ones, so support would be much appreciated.

📅 Opened Jul 30, 2026💬 2 comments
Quality: 40/100Contribute

our CLI is a bit buggy (e.g. -version is ignored instead of failing when --version is what it should be). we also don't have proper long/short support etc... earlier I wanted to keep it simple without adding dependencies but it's grown quite a bit so we should migrate to clap.

📅 Opened Mar 25, 2026💬 1 comment
Quality: 70/100Contribute

it seems like unknown keys cause all other config keys to be ignored. We should consider just logging the failure and ignoring only unknown keys. I'll create a ticket for this as a follow-up since it doesn't look like it's super straightforward. Originally posted by @agavra in #162 (comment)

📅 Opened Feb 10, 2026💬 2 comments
Quality: 55/100Contribute
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Contributor Compatibility & Review Speed Analysis for agavra/tuicr

When evaluating whether to contribute to agavra/tuicr, 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 agavra/tuicr acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 78.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to agavra/tuicr

01

Is agavra/tuicr welcoming to first-time open-source contributors?

agavra/tuicr has a recorded first-timer success rate of 81.6%. Repositories ranked Elite 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 70.3 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 70.3 places agavra/tuicr in the Elite tier.

04

What is the external contributor pull request merge rate for agavra/tuicr?

The external pull request merge rate is 78.4%. 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 agavra/tuicr?

Yes, agavra/tuicr currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for agavra/tuicr 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.