ziyuefan/eventalertmodremake/eam-github-publisher

Claude Code and agent skill by ziyuefan/eventalertmodremake

Trust tier 2
  • community
  • ext:[{"type":"plugin","description":"Custom plugin integration"}]
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Checking that the SKILL.md file is still in the repository.

EventAlertMod GitHub Release 發布與管理技能。涵蓋 Deploy/Publish-GitHubRelease.ps1、gh CLI 互動、alpha-X.Y 標籤命名規範、預設 --prerelease 保護、附件打包 (ZIP + SHA-256) 與 GitHub 原生源碼打包規範。

Install

npx vskill@latest install ziyuefan/eventalertmodremake/eam-github-publisher

Semi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard

SKILL.md

EAM GitHub Publisher (GitHub Release 發布管理技能)

本技能封裝 EventAlertMod 發布至 GitHub Release / Pre-release 的標準化全流程。

1. 核心發布指令

powershell
# 1. 完整自動化發布 (預設自動建置插件包、執行品質門禁、產出 Release Notes 並發布 Pre-release)
pwsh -NoProfile -File .\Deploy\Publish-GitHubRelease.ps1 -Tag "alpha-8.5" -Title "EventAlertMod Retail 12.1.0 Alpha 8.5"
# 2. Dry-Run 模擬預覽 (不執行實際網路推送)
pwsh -NoProfile -File .\Deploy\Publish-GitHubRelease.ps1 -Tag "alpha-8.5" -Title "EventAlertMod Retail 12.1.0 Alpha 8.5" -DryRun
# 3. 使用 gh CLI 手動發布 (搭配美化 Release Notes)
gh release create "alpha-8.5" "Dist\EventAlertMod_MN_20260912-alpha-8.5_AGY.zip" "Dist\EventAlertMod_MN_20260912-alpha-8.5_AGY.zip.sha256" --title "EventAlertMod Retail 12.1.0 Alpha 8.5" --notes-file "Dist\GITHUB_RELEASE_NOTES_alpha-8.5.md" --prerelease

2. 核心規範與防護邊界

  • 標籤與標題命名規範:
  • Tag 採用小寫破折號格式:alpha-8.5、beta-1.0。
  • Title 採用正式版本名:EventAlertMod Retail 12.1.0 Alpha 8.5。
  • 預設 Pre-release 保護:
  • 開發階段與 Alpha/Beta 版本一律附帶 --prerelease 旗標,保護 main 穩定性。
  • 原始碼打包規範:
  • 嚴格遵守專案邊界:GitHub Release 由 GitHub 自動打包 Source 原始碼 (Source code (zip) 與 Source code (tar.gz))。
  • 本機與 Release 附件絕不重複打包或上傳 SRC 源碼包,節省頻寬與儲存空間。
  • 發布產物清單:
  • 僅掛載遊戲 AddOn 插件安裝包(EventAlertMod_MN_*.zip)與對應之 SHA-256 校驗文字檔(.sha256)。
  • 離線門禁 Fail-Closed:
  • 發布前必須先通過 CheckLuaSyntax.ps1、Run-FlowValidation.ps1 -Suite all 與 Test-ValidationContracts.ps1。任一失敗立即終止發布。
  • Release Notes 零 AI 治理標準:
  • 說明內容必須經由 eam-release-changelog-curator 策展,100% 杜絕任何 AI 治理、合約數量、測試框架等內部工程描述。

Security

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  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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Source

Popularity

7-day trend score
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Extension points

  • pluginCustom plugin integration

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