Charcoal-SE/SmokeDetector - Open Source PR Review Scorecard

Headless chatbot that detects spam and posts links to it in chatrooms for quick deletion.

C-Rank Grade: B (Solid) - 53/100

External PR Merge Rate: 80%

Response Time: 14d

First Timer Success: 50%

Frequently Asked Questions

Is Charcoal-SE/SmokeDetector welcoming to first-time open-source contributors?

Charcoal-SE/SmokeDetector has a recorded first-timer success rate of 50.0%. Repositories ranked B 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 Charcoal-SE/SmokeDetector respond to incoming external pull requests in approximately 334.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.9 C-Rank™ score (B 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 52.9 places Charcoal-SE/SmokeDetector in the B tier.

What is the external contributor pull request merge rate for Charcoal-SE/SmokeDetector?

The external contributor pull request merge rate for Charcoal-SE/SmokeDetector is 80.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Charcoal-SE/SmokeDetector?

Charcoal-SE/SmokeDetector does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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Charcoal-SE/SmokeDetectorBSolid494
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Charcoal-SE

Charcoal-SE/SmokeDetector

494
BSolid(53/100)Python

Headless chatbot that detects spam and posts links to it in chatrooms for quick deletion.

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Growing Python project in Charcoal-SE/SmokeDetector welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • Ensure code complies with Python style conventions
  • Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without context
  • Do not break existing automated test suites
Response Velocity
13 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.3%
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
5 core
Small core review team
Diagnostic Health HUD
80.3%
Merge Gauge
50.0%
1st-Timer
Community Vibe47/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for Charcoal-SE/SmokeDetector.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python GFI

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
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for Charcoal-SE/SmokeDetector

When evaluating whether to contribute to Charcoal-SE/SmokeDetector, 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 Charcoal-SE/SmokeDetector acknowledge new external contributions in approximately 13 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Charcoal-SE/SmokeDetector

01

Is Charcoal-SE/SmokeDetector welcoming to first-time open-source contributors?

Charcoal-SE/SmokeDetector has a recorded first-timer success rate of 50.0%. Repositories ranked Solid 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 ~13 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.9 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 52.9 places Charcoal-SE/SmokeDetector in the Solid tier.

04

What is the external contributor pull request merge rate for Charcoal-SE/SmokeDetector?

The external pull request merge rate is 80.3%. 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 Charcoal-SE/SmokeDetector?

Charcoal-SE/SmokeDetector 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 Charcoal-SE/SmokeDetector 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.