wheelry/deep-skill-finder - Open Source PR Review Scorecard

Deep Skill Finder – Real Tests Real Reviews find skills that Real Work

C-Rank Grade: A (Welcoming) - 71/100

External PR Merge Rate: 95%

Response Time: <1h

First Timer Success: 100%

Frequently Asked Questions

Is wheelry/deep-skill-finder welcoming to first-time open-source contributors?

wheelry/deep-skill-finder has a recorded first-timer success rate of 100.0%. 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 wheelry/deep-skill-finder 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 71.2 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 71.2 places wheelry/deep-skill-finder in the A tier.

What is the external contributor pull request merge rate for wheelry/deep-skill-finder?

The external contributor pull request merge rate for wheelry/deep-skill-finder is 95.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in wheelry/deep-skill-finder?

wheelry/deep-skill-finder currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Active (30d)A•Welcoming(71/100)Python

Deep Skill Finder – Real Tests Real Reviews find skills that Real Work

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in wheelry/deep-skill-finder. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in wheelry/deep-skill-finder focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
95.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
95.2%
Merge Gauge
100.0%
1st-Timer
Community Vibe98/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

Hi! I found a Skill named [skill-name] on the website and copied the provided installation prompt into my Agent. However, the Agent could not find the exact Skill. It ran a semantic search instead and returned several similar recommendations. This makes me wonder whether: The website index and installation API are temporarily out of sync. The Skill was renamed or removed. The generated installation prompt contains an outdated slug. It would be helpful if the Skill page could verify availability before displaying the installation prompt, or show a clear message when a Skill is no longer installable.

📅 Opened Aug 27, 2026💬 1 comment
Quality: 65/100Contribute

Could deep-skill-finder provide a preview step before installing a recommended Skill?The preview could show:Files that will be installedCommands or scripts included in the packageExternal services the Skill may contactRequired environment variablesInstallation directoryPotential security warningsA --dry-run option would also help Agents inspect the package and explain the expected changes before asking the user for confirmation.

📅 Opened Aug 27, 2026💬 0 comments
Quality: 50/100Contribute

Hi! I came across jin-tian-chi-shen-me while using deep-skill-finder to search for skills on the website. I copied the prompt provided by the website and gave it to my Agent, but the Agent responded that it couldn't find or install a skill with that name, and it returned five similar skills instead. This made me a little confused about whether jin-tian-chi-shen-me is still available or whether the installation command might be out of sync with the current skill list. I'm not sure if this is expected behavior or a small issue with the skill index/installation flow, so I wanted to share it here in case it's helpful. Thanks for building this! I’ve been enjoying using deep-skill-finder to discover skills, and I’d be happy to provide more details if needed.

📅 Opened Aug 24, 2026💬 2 comments
Quality: 65/100Contribute
Looking for more Python beginner tasks?Explore Python GFI

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Contributor Compatibility & Review Speed Analysis for wheelry/deep-skill-finder

When evaluating whether to contribute to wheelry/deep-skill-finder, 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 wheelry/deep-skill-finder acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 95.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to wheelry/deep-skill-finder

01

Is wheelry/deep-skill-finder welcoming to first-time open-source contributors?

wheelry/deep-skill-finder has a recorded first-timer success rate of 100.0%. 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 71.2 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 71.2 places wheelry/deep-skill-finder in the Welcoming tier.

04

What is the external contributor pull request merge rate for wheelry/deep-skill-finder?

The external pull request merge rate is 95.2%. 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 wheelry/deep-skill-finder?

Yes, wheelry/deep-skill-finder currently has 3 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 wheelry/deep-skill-finder 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.