x1xhlol/system-prompts-and-models-of-ai-tools - Open Source PR Review Scorecard

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

C-Rank Grade: D (Risky) - 15/100

External PR Merge Rate: -

Response Time: 3d

First Timer Success: -

Frequently Asked Questions

Is x1xhlol/system-prompts-and-models-of-ai-tools welcoming to first-time open-source contributors?

x1xhlol/system-prompts-and-models-of-ai-tools has a recorded first-timer success rate of 0.0%. Repositories ranked D 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 x1xhlol/system-prompts-and-models-of-ai-tools respond to incoming external pull requests in approximately 81.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 15.3 C-Rank™ score (D 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 15.3 places x1xhlol/system-prompts-and-models-of-ai-tools in the D tier.

What is the external contributor pull request merge rate for x1xhlol/system-prompts-and-models-of-ai-tools?

The external contributor pull request merge rate for x1xhlol/system-prompts-and-models-of-ai-tools is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in x1xhlol/system-prompts-and-models-of-ai-tools?

x1xhlol/system-prompts-and-models-of-ai-tools does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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x1xhlol/system-prompts-and-models-of-ai-tools

143,230
DRisky(15/100)

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

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Response Velocity
3 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
0.0%
Selective PR acceptance rate

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
2 core
Small core review team
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

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Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for x1xhlol/system-prompts-and-models-of-ai-tools.

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Contributor Community Vibe Feedback

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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 x1xhlol/system-prompts-and-models-of-ai-tools

When evaluating whether to contribute to x1xhlol/system-prompts-and-models-of-ai-tools, 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 x1xhlol/system-prompts-and-models-of-ai-tools acknowledge new external contributions in approximately 3 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to x1xhlol/system-prompts-and-models-of-ai-tools

01

Is x1xhlol/system-prompts-and-models-of-ai-tools welcoming to first-time open-source contributors?

x1xhlol/system-prompts-and-models-of-ai-tools has a recorded first-timer success rate of 0.0%. Repositories ranked Risky 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 ~3 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 15.3 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 15.3 places x1xhlol/system-prompts-and-models-of-ai-tools in the Risky tier.

04

What is the external contributor pull request merge rate for x1xhlol/system-prompts-and-models-of-ai-tools?

The external pull request merge rate is 0.0%. 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 x1xhlol/system-prompts-and-models-of-ai-tools?

x1xhlol/system-prompts-and-models-of-ai-tools 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 x1xhlol/system-prompts-and-models-of-ai-tools 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.