Facets-cloud/flow - Open Source PR Review Scorecard

Turn isolated Claude sessions into a continuous working relationship

C-Rank Grade: A (Welcoming) - 61/100

External PR Merge Rate: 82%

Response Time: 15h

First Timer Success: 67%

Frequently Asked Questions

Is Facets-cloud/flow welcoming to first-time open-source contributors?

Facets-cloud/flow has a recorded first-timer success rate of 66.7%. 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 Facets-cloud/flow respond to incoming external pull requests in approximately 15.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 61.0 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 61.0 places Facets-cloud/flow in the A tier.

What is the external contributor pull request merge rate for Facets-cloud/flow?

The external contributor pull request merge rate for Facets-cloud/flow is 81.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Facets-cloud/flow?

Facets-cloud/flow currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

Facets-cloud
Facets-cloud/flowA•Welcoming115
GitHub
Back to Explorer
Facets-cloud

Facets-cloud/flow

115
Active (30d)A•Welcoming(61/100)Go

Turn isolated Claude sessions into a continuous working relationship

GitHub
Compare••
Jump to:

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 Facets-cloud/flow. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in Facets-cloud/flow 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
14 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
81.6%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
66.7%
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
81.6%
Merge Gauge
66.7%
1st-Timer
Community Vibe71/100

Embed C-Rank Badge

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

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

Active Good First Issues (2)

View on GitHub

Today flow do <task> calls liveClaudeSessions() to detect duplicate-tab races before spawning. If ps fails (sandboxed env, broken shim, etc.) the function returns (nil, err) and the live-session guard in internal/app/do.go:176 silently falls through to the spawn path: if live, err := liveClaudeSessions(); err == nil { // ... focus / refuse logic } The error is swallowed with no user-visible signal. In environments where ps reliably fails, users will silently see duplicate-spawn behavior with no indication that the safety check was skipped. Proposed change When liveClaudeSessions returns a non-nil error, print a single line to stderr before falling through: warning: live-session check skipped: <error> Then continue to the spawn path as today. Behavior on the happy path is unchanged. Files internal/app/do.go:175-197 — add the stderr line in the else branch of the err == nil check internal/app/do_test.go — extend an existing test (or add one) that stubs psRunner to return an err

📅 Opened May 19, 2026💬 0 comments
Quality: 30/100Contribute

The regex matching --session-id <uuid> / --resume <uuid> in a claude argv is duplicated byte-for-byte across 5 files: internal/app/sessions.go:19 (claudeSessionArgRe) internal/iterm/iterm.go:107 (claudeSessionRowRe) internal/terminal/terminal.go:195 (claudeSessionRowRe) internal/zellij/zellij.go:134 (claudeSessionRowRe) internal/kitty/kitty.go:163 (claudeSessionRowRe) All five compile the same pattern: `(?:--session-id|--resume)[ =]([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-4[0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12})` Proposed change Create a new package internal/claudematch exporting: the compiled regex a small helper like func ExtractSessionUUID(line string) (string, bool) returning the lowercased UUID if a match is found Update the 5 call sites to import and use it. Behavior must be identical — drop the duplicate vars in each backend. Notes Pure refactor: no behavior change, no contract change, no test rewrites beyond import paths. Existing per-package tests should keep passi

📅 Opened May 19, 2026💬 0 comments
Quality: 40/100Contribute
Looking for more Go beginner tasks?Explore Go 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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for Facets-cloud/flow

When evaluating whether to contribute to Facets-cloud/flow, 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 Facets-cloud/flow acknowledge new external contributions in approximately 14 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 81.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Facets-cloud/flow

01

Is Facets-cloud/flow welcoming to first-time open-source contributors?

Facets-cloud/flow has a recorded first-timer success rate of 66.7%. 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 ~14 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 61.0 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 61.0 places Facets-cloud/flow in the Welcoming tier.

04

What is the external contributor pull request merge rate for Facets-cloud/flow?

The external pull request merge rate is 81.6%. 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 Facets-cloud/flow?

Yes, Facets-cloud/flow 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 Facets-cloud/flow 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.