irahardianto/awesome-agv - Open Source PR Review Scorecard

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

C-Rank Grade: D (Risky) - 8/100

External PR Merge Rate: -

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is irahardianto/awesome-agv welcoming to first-time open-source contributors?

irahardianto/awesome-agv 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 irahardianto/awesome-agv 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 8.0 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 8.0 places irahardianto/awesome-agv in the D tier.

What is the external contributor pull request merge rate for irahardianto/awesome-agv?

The external contributor pull request merge rate for irahardianto/awesome-agv is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in irahardianto/awesome-agv?

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

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irahardianto/awesome-agvD•Risky151
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irahardianto/awesome-agv

151
InactiveD•Risky(8/100)Low Sample (<20 PRs)JavaScript

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

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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%

Active maintainer team in irahardianto/awesome-agv welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused 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
-
No reviewer activity recorded

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
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

Embed C-Rank Badge

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

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

Active Good First Issues (1)

View on GitHub

Summary The django-idioms skill (/.agents/skills/django-idioms/SKILL.md) is currently an 83-line stub — significantly thinner than every other framework skill (Axum ~180 lines, Hono ~160 lines) and lacking the references/ directory that all language-level skills have. An audit by three parallel research subagents identified 15+ missing topics and 1 critical architectural conflict that need resolution. This issue provides the full audit findings, structural comparison data, and acceptance criteria so a Django expert can expand the skill confidently. Current State .agents/skills/django-idioms/ └── SKILL.md # ~83 lines, no references/ Sections that exist: Models (fat models, custom managers, Meta) Views (CBVs, DRF serializers, get_object_or_404) ORM (select_related, prefetch_related, F/Q) Migrations (one per logical change, RunPython) Testing (pytest-django, factory_boy — mentioned but no examples) Quality Gates (ruff, mypy+django-stubs, bandit) Related (9 cross-refe

📅 Opened Aug 7, 2026💬 0 comments
Quality: 90/100Contribute
Looking for more JavaScript beginner tasks?Explore JavaScript GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

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 irahardianto/awesome-agv

When evaluating whether to contribute to irahardianto/awesome-agv, 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 irahardianto/awesome-agv acknowledge new external contributions in approximately -. 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 irahardianto/awesome-agv

01

Is irahardianto/awesome-agv welcoming to first-time open-source contributors?

irahardianto/awesome-agv 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 8.0 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 8.0 places irahardianto/awesome-agv in the Risky tier.

04

What is the external contributor pull request merge rate for irahardianto/awesome-agv?

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 irahardianto/awesome-agv?

Yes, irahardianto/awesome-agv 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 irahardianto/awesome-agv 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.