tlaplus/tlaplus - Open Source PR Review Scorecard

TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 63%

Response Time: 14h

First Timer Success: 25%

Frequently Asked Questions

Is tlaplus/tlaplus welcoming to first-time open-source contributors?

tlaplus/tlaplus has a recorded first-timer success rate of 25.0%. 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 tlaplus/tlaplus respond to incoming external pull requests in approximately 14.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 62.3 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 62.3 places tlaplus/tlaplus in the A tier.

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

The external contributor pull request merge rate for tlaplus/tlaplus is 62.9%, based on public PR activity from non-core contributors.

Are there Good First Issues available in tlaplus/tlaplus?

tlaplus/tlaplus currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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tlaplus/tlaplus

3,112
InactiveA•Welcoming(62/100)Java

TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
5.0/10
Patience Score
6.0/10
Nitpick Rate
65%

Rigorous architecture standards (100% critical review signals). Ensure PRs strictly follow guidelines before requesting review in tlaplus/tlaplus.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Use conventional commit messages and clean branch names
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
14 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
62.9%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
25.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
10 core
Highly collaborative maintainer core
Diagnostic Health HUD
62.9%
Merge Gauge
25.0%
1st-Timer
Community Vibe52/100

Embed C-Rank Badge

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

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

Active Good First Issues (1)

View on GitHub

The output produced by XMLExporter contains a complete representation of the AST, including every element. Each element is self-contained, which results in substantial duplication of information. While this verbosity is acceptable—and often desirable—when the output is consumed by deterministic tools such as IDEs or proof assistants, it becomes problematic in LLM-based chat settings, where the available token budget is limited. To address this issue, the TLA+ VSCode/Cursor extension applies significant filtering and compression to XMLExporter’s output before converting it to JSON and passing it to LLMs (see tlaplus/vscode-tlaplus#448). Selective Extraction (Skipping) The tool parses SANY's full XML output but only extracts specific top-level declarations: UserDefinedOpKind - User-defined operators TheoremDefNode - Theorems, axioms, lemmas AssumeDef - Assumptions OpDeclNode - Variables and constants It completely skips: The full abstract syntax tree (AST) for expressions Nested

📅 Opened Feb 3, 2026💬 0 comments
Quality: 45/100Contribute
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Contributor Community Vibe Feedback

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Contributor Compatibility & Review Speed Analysis for tlaplus/tlaplus

When evaluating whether to contribute to tlaplus/tlaplus, 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 tlaplus/tlaplus acknowledge new external contributions in approximately 14 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 62.9% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to tlaplus/tlaplus

01

Is tlaplus/tlaplus welcoming to first-time open-source contributors?

tlaplus/tlaplus has a recorded first-timer success rate of 25.0%. 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 ~14 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 62.3 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 62.3 places tlaplus/tlaplus in the Welcoming tier.

04

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

The external pull request merge rate is 62.9%. 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 tlaplus/tlaplus?

Yes, tlaplus/tlaplus currently has 1 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 tlaplus/tlaplus 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.