conorbronsdon/avoid-ai-writing - Open Source PR Review Scorecard

Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.

C-Rank Grade: S (Elite) - 74/100

External PR Merge Rate: 77%

Response Time: 4h

First Timer Success: 75%

Frequently Asked Questions

Is conorbronsdon/avoid-ai-writing welcoming to first-time open-source contributors?

conorbronsdon/avoid-ai-writing has a recorded first-timer success rate of 75.0%. Repositories ranked S 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 conorbronsdon/avoid-ai-writing respond to incoming external pull requests in approximately 3.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 74.3 C-Rank™ score (S 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 74.3 places conorbronsdon/avoid-ai-writing in the S tier.

What is the external contributor pull request merge rate for conorbronsdon/avoid-ai-writing?

The external contributor pull request merge rate for conorbronsdon/avoid-ai-writing is 76.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in conorbronsdon/avoid-ai-writing?

conorbronsdon/avoid-ai-writing currently has 10 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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conorbronsdon/avoid-ai-writingS•Elite4.9k
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conorbronsdon/avoid-ai-writing

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Active (30d)S•Elite(74/100)JavaScript

Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.9/10
Patience Score
8.6/10
Nitpick Rate
50%

Highly welcoming maintainers in conorbronsdon/avoid-ai-writing. Prompt code reviews with positive guidance for new contributors.

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
3 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
76.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
75.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
15 core
Highly collaborative maintainer core
Diagnostic Health HUD
76.8%
Merge Gauge
75.0%
1st-Timer
Community Vibe81/100

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Active Good First Issues (5)

View on GitHub

The final automated run for #295/#296 exposed a nonblocking diagnostic limitation separate from the unchanged-output blocker in #322. At source 0ae68f2fc3ddb166cbf8dc3156e2199cbd45bd13, the isolated Claude detect_only response calls unlocks a Tier 2 table entry and applies the cluster threshold to it. In references/patterns.md, unlock is a replacement for the listed Tier 2 entry unleash; it is not itself a word-table entry. Some responses also assign Moreover P1 while the skill's severity summary lists transition phrases under P2. The frozen detect scenario checks read-only scope, findings/assessment, and execution honesty. It does not validate every category or severity attribution, so those properties must not be inferred from its pass result. Follow-up: add model-only audit regressions that distinguish table entries from suggested replacements, preserve weak-match exceptions, and require category/severity claims to match the actual catalog. Keep this separate from deterministic d

📅 Opened Sep 16, 2026💬 0 comments
Quality: 90/100Contribute

Maintainer exception accepted, 2026-09-16. Conor explicitly approved landing #295 and #296 with the two recorded model-output failures: deleted source content and an omitted final artifact. The automated result remains 14/16, not a pass. These failures remain open follow-up work in #322; catalog-label variance remains in #323. Human evaluation is optional. This exception applies to this stack and does not waive future verification requirements. The earlier status below records the evaluation before this explicit acceptance. Follow-up status, 2026-09-16: The latest automated gate fails: 14 of 16 scenario responses met the frozen assertions. Claude deleted a source-internal sentence; MiMo omitted the final source in a technical-context no-op. These results remain blocking under the current gate; no human evaluation is required. Full follow-up evidence. The original false-edit report is repaired in the latest protected-content samples. The same frozen evaluation now exposes two remaining

📅 Opened Sep 16, 2026💬 0 comments
Quality: 90/100Contribute

wanna make sure if Chinese works out fine as well

📅 Opened Sep 16, 2026💬 1 comment
Quality: 75/100Contribute

Reserved for a first-time contributor. Please comment before starting and follow CONTRIBUTING.md's one-issue newcomer guidance. Prepared by Codex after reviewing #214; this is a separately scoped behavior fix. Problem and reproduction On main at 693438c019b959ec45f3b0d68fb3ebffb7f8680b, run: node -e 'console.log(require("./scripts/self-scan").scanFile("CHANGELOG.md"))' The result has chunked: 3, exemptIssues: 62, and topTypes: []. The file is currently under budget (34/40); the missing categories would make an over-budget diagnostic print none. scoreLongText() omits the category aggregation that the short-text path provides. Scope scripts/self-scan.js, a dedicated scripts/self-scan-diagnostics.test.js, package.json test wiring, and an Unreleased changelog entry. Aggregate category counts across all accepted chunks, then return the three most frequent types using the existing topTypes ordering. Keep scoring, chunk boundaries and budgets unchanged. Use a separate test file to avoid colli

📅 Opened Sep 12, 2026💬 1 comment
Quality: 90/100Contribute

$ node scripts/self-scan.js CHANGELOG.md 11617 60 35 40 Reproducing the exempt scan by hand isolates the score almost entirely to tier1 and tier2 hits from three release-note lines that list AI-tell vocabulary as unquoted prose (the exemption regex blanks only quoted spans, inline code, tables, and blockquotes): line 703: "39 new vocabulary entries ... bustling, intricate, complexities, ever-evolving, daunting, holistic, ..." line 716: "15 new word/phrase replacements: nuanced, crucial, multifaceted, ecosystem, myriad, plethora, ..." line 746: "5 new word table entries (nestled, vibrant, thriving, despite challenges, showcasing)" These are March 2026 entries (v1.1.0 to v2.0.0). Five points of headroom remain before npm run self-scan:check (part of detector-test.yml) fails on any future changelog entry that lists a few example words in prose, which is a normal shape for this project's release notes. Maintainer decision CONTRIBUTING.md says to leave publish

📅 Opened Sep 12, 2026💬 1 comment
Quality: 100/100Contribute
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Contributor Compatibility & Review Speed Analysis for conorbronsdon/avoid-ai-writing

When evaluating whether to contribute to conorbronsdon/avoid-ai-writing, 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 conorbronsdon/avoid-ai-writing acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 76.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to conorbronsdon/avoid-ai-writing

01

Is conorbronsdon/avoid-ai-writing welcoming to first-time open-source contributors?

conorbronsdon/avoid-ai-writing has a recorded first-timer success rate of 75.0%. Repositories ranked Elite 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 ~3 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 74.3 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 74.3 places conorbronsdon/avoid-ai-writing in the Elite tier.

04

What is the external contributor pull request merge rate for conorbronsdon/avoid-ai-writing?

The external pull request merge rate is 76.8%. 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 conorbronsdon/avoid-ai-writing?

Yes, conorbronsdon/avoid-ai-writing currently has 10 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 conorbronsdon/avoid-ai-writing 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.