mckinsey/agents-at-scale-ark - Open Source PR Review Scorecard

Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.

C-Rank Grade: A (Welcoming) - 67/100

External PR Merge Rate: 76%

Response Time: -

First Timer Success: 81%

Frequently Asked Questions

Is mckinsey/agents-at-scale-ark welcoming to first-time open-source contributors?

mckinsey/agents-at-scale-ark has a recorded first-timer success rate of 81.0%. 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 mckinsey/agents-at-scale-ark 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 66.5 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 66.5 places mckinsey/agents-at-scale-ark in the A tier.

What is the external contributor pull request merge rate for mckinsey/agents-at-scale-ark?

The external contributor pull request merge rate for mckinsey/agents-at-scale-ark is 75.9%, based on public PR activity from non-core contributors.

Are there Good First Issues available in mckinsey/agents-at-scale-ark?

mckinsey/agents-at-scale-ark currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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mckinsey/agents-at-scale-ark

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Active (30d)A•Welcoming(67/100)TypeScript

Provider-agnostic operations for agentic resources. ARK codifies patterns and practices developed across dozens of agentic application projects.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.6/10
Patience Score
8.2/10
Nitpick Rate
25%

Collaborative maintainer environment in mckinsey/agents-at-scale-ark. Reviews community pull requests with focus on project quality.

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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
75.9%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
81.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
18 core
Highly collaborative maintainer core
Diagnostic Health HUD
75.9%
Merge Gauge
81.0%
1st-Timer
Community Vibe55/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for mckinsey/agents-at-scale-ark
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/mckinsey/agents-at-scale-ark)](https://getmerged.abhishekco.de/mckinsey/agents-at-scale-ark?utm_source=github&utm_medium=badge)

Active Good First Issues (4)

View on GitHub

exected a wrap around with an expand button

📅 Opened Aug 18, 2026💬 0 comments
Quality: 35/100Contribute

unlike top level items that keep highlighted as long as I'm on the screen - the agents, teams and all monitoring items are highlighted here is a highlighted top level nav item Happens on both, dark and white mode.

📅 Opened Jul 24, 2026💬 0 comments
Quality: 35/100Contribute

Currently, this button does nothing when there are no Ark agents instsalled. It should either be hidden or disabled.

📅 Opened Jul 15, 2026💬 0 comments
Quality: 25/100Contribute

Problem The ark install command does not support passing custom Helm values during installation. Users who want to configure executor credentials or customize Helm chart values must perform a two-step process: Install with defaults using ark install Manually run helm upgrade with --set flags to configure values This creates poor UX and forces users to learn both Ark CLI and Helm syntax. Impact Who is affected: Users installing marketplace executors who need credential injection via extraEnvFrom Users wanting to customize Helm chart values during installation (storage size, resources, replicas, etc.) Proposed Solution Add support for passing Helm values directly to ark install: # Using --set flag ark install marketplace/executors/executor-claude-agent-sdk \ --set 'extraEnvFrom[0].secretRef.name=github-credentials' # Using --values flag ark install marketplace/executors/executor-claude-agent-sdk \ --values my-values.yaml This enables single-command installation with custom confi

📅 Opened Apr 16, 2026💬 1 comment
Quality: 30/100Contribute
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Contributor Compatibility & Review Speed Analysis for mckinsey/agents-at-scale-ark

When evaluating whether to contribute to mckinsey/agents-at-scale-ark, 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 mckinsey/agents-at-scale-ark acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 75.9% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to mckinsey/agents-at-scale-ark

01

Is mckinsey/agents-at-scale-ark welcoming to first-time open-source contributors?

mckinsey/agents-at-scale-ark has a recorded first-timer success rate of 81.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 66.5 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 66.5 places mckinsey/agents-at-scale-ark in the Welcoming tier.

04

What is the external contributor pull request merge rate for mckinsey/agents-at-scale-ark?

The external pull request merge rate is 75.9%. 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 mckinsey/agents-at-scale-ark?

Yes, mckinsey/agents-at-scale-ark currently has 2 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 mckinsey/agents-at-scale-ark 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.