此skills用于指导智能体在 Windows 上恢复 Codex Desktop 升级后失效的本地补丁和能力开关。（Computer Use，插件，破限，codex强制汉化，fast mode，手机远控，会话消失等问题）支持每次使用前自动将skills更新到最新版。/These skills are designed to guide the agent in restoring local patches and feature toggles that have been disabled or invalidated following a Codex Desktop upgrade on Windows. Supports auto-updating translations.
C-Rank Grade: D (Risky) - 0/100
External PR Merge Rate: -
Response Time: -
First Timer Success: -
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No public review history has been recorded on GitHub for this project yet. Check the project CONTRIBUTING guide or explore active, welcoming alternatives in the same language ecosystem.
No public pull request merge data is recorded on GitHub for chen0416ccc-cpu/codex-windows-fast-patch-skill. Review workflows may be hosted externally or restricted to core teams.
Review speed is currently unmeasured due to no public GitHub PR activity. Refer to the repository's contributing guidelines for team workflow norms.
chen0416ccc-cpu/codex-windows-fast-patch-skill does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.
此skills用于指导智能体在 Windows 上恢复 Codex Desktop 升级后失效的本地补丁和能力开关。（Computer Use，插件，破限，codex强制汉化，fast mode，手机远控，会话消失等问题）支持每次使用前自动将skills更新到最新版。/These skills are designed to guide the agent in restoring local patches and feature toggles that have been disabled or invalidated following a Codex Desktop upgrade on Windows. Supports auto-updating translations.
We score this repo live from GitHub's public pull-request history - usually in under 30 seconds. Results are cached for 24 hours and refreshed when new commits land.
This repository has no indexed public pull request reviews or activity on GitHub yet. Some large projects conduct code reviews via external tooling or private repositories. As soon as public PR review activity is recorded, C-Rank™ computes scores automatically.
Average Response Latency
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External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
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Show contributors that your repository actively reviews and merges external pull requests.
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When evaluating whether to contribute to chen0416ccc-cpu/codex-windows-fast-patch-skill, 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 chen0416ccc-cpu/codex-windows-fast-patch-skill acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.
chen0416ccc-cpu/codex-windows-fast-patch-skill has a recorded first-timer success rate of 0.0%. Repositories ranked Risky typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 0.0 places chen0416ccc-cpu/codex-windows-fast-patch-skill in the Risky tier.
The external pull request merge rate is 0.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
chen0416ccc-cpu/codex-windows-fast-patch-skill does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.
All metrics displayed for chen0416ccc-cpu/codex-windows-fast-patch-skill 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.