wq19901103wq/wechat-mac-rpa - Open Source PR Review Scorecard

基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat

C-Rank Grade: A (Welcoming) - 65/100

External PR Merge Rate: 85%

Response Time: <1h

First Timer Success: 50%

Frequently Asked Questions

Is wq19901103wq/wechat-mac-rpa welcoming to first-time open-source contributors?

wq19901103wq/wechat-mac-rpa has a recorded first-timer success rate of 50.0%. 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 wq19901103wq/wechat-mac-rpa respond to incoming external pull requests in approximately 0.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 64.8 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 64.8 places wq19901103wq/wechat-mac-rpa in the A tier.

What is the external contributor pull request merge rate for wq19901103wq/wechat-mac-rpa?

The external contributor pull request merge rate for wq19901103wq/wechat-mac-rpa is 85.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in wq19901103wq/wechat-mac-rpa?

wq19901103wq/wechat-mac-rpa does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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wq19901103wq/wechat-mac-rpaA•Welcoming121
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wq19901103wq/wechat-mac-rpa

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Active (30d)A•Welcoming(65/100)Python

基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat

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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 wq19901103wq/wechat-mac-rpa 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
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
85.4%
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
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
85.4%
Merge Gauge
50.0%
1st-Timer
Community Vibe79/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for wq19901103wq/wechat-mac-rpa
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/wq19901103wq/wechat-mac-rpa)](https://getmerged.abhishekco.de/wq19901103wq/wechat-mac-rpa?utm_source=github&utm_medium=badge)

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for wq19901103wq/wechat-mac-rpa.

View all good first issues directly on GitHub

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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 wq19901103wq/wechat-mac-rpa

When evaluating whether to contribute to wq19901103wq/wechat-mac-rpa, 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 wq19901103wq/wechat-mac-rpa acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 85.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to wq19901103wq/wechat-mac-rpa

01

Is wq19901103wq/wechat-mac-rpa welcoming to first-time open-source contributors?

wq19901103wq/wechat-mac-rpa has a recorded first-timer success rate of 50.0%. 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 64.8 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 64.8 places wq19901103wq/wechat-mac-rpa in the Welcoming tier.

04

What is the external contributor pull request merge rate for wq19901103wq/wechat-mac-rpa?

The external pull request merge rate is 85.4%. 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 wq19901103wq/wechat-mac-rpa?

wq19901103wq/wechat-mac-rpa 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 wq19901103wq/wechat-mac-rpa 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.