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ops-nuke-cicd核武器行动 CICD

Agent Skill

ops-nuke-cicd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

954

周安装

41

GitHub Stars

59

下载量

335
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ops-nuke-cicd(核武器行动 CICD)
来源仓库:https://github.com/vasilyu1983/ai-agents-public
仓库路径:skills/ops-nuke-cicd
安装命令:
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill ops-nuke-cicd
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill ops-nuke-cicd

简介

ops-nuke-cicd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理时使用。

  • 适用于 CI/CD 流水线重构、环境清理和发布流程优化等开发运维场景。
  • 可识别冗余构建任务与过时分支,提供清理建议。
  • 安装命令:npx skills add https://github.com/vasilyu1983/ai-agents-public --skill ops-nuke-cicd;需具备仓库管理员权限。
  • 高危操作如批量删除需二次确认,防止误伤关键资源。

SKILL.md

NUKE CI/CD

Quick Reference

  • Start from existing nuke/Build.cs targets and preserve output contracts before refactoring.
  • Keep target graph intent explicit: use DependsOn for hard prerequisites, After for ordering, Triggers for composed flows, and OnlyWhenDynamic for runtime gates.
  • Use this skill for pipeline orchestration and build contracts, not for application-service refactors or NUnit fixture internals.
  • Separate fast local feedback (build + filtered tests) from full CI validation (unit + api + db + merged coverage).
  • Use the iterative loop code -> build -> run tests -> fix -> repeat for both feature work and test hardening.
  • Run preflight checks before expensive targets: SDK version, Docker availability (when required), and expected file paths.
  • Use wrapper commands (when available): ./build.sh BuildAll, ./build.sh LocalUnitTest, ./build.sh ApiTest, ./build.sh TestAll.
  • Use category filters intentionally, including exclusion filter patterns such as TestCategory!=ComponentTests&TestCategory!=DbTests&TestCategory!=ApiTest.
  • Keep UnitTest scoped to non-API categories and create a dedicated ApiTest target for TestCategory=ApiTest.
  • Keep TestAll composed from UnitTest + ApiTest (+ DbTest) and coverage merge.
  • When migrating from legacy docker-compose/SpecFlow orchestration, decommission compose-first test flow and keep pipeline focused on NUnit API categories.
  • Avoid running parallel dotnet test invocations against the same project output path in one job to prevent file-lock/MSBuild manifest failures.
  • Keep shell commands robust for zsh: avoid unquoted globs in direct shell commands and validate paths before sed/cat/ls.
  • Emit coverage and test artifacts deterministically (coverage.cobertura.xml, HTML summary, JUnit XML).
  • Build one or more Docker images with traceable tags (build id, commit sha), then publish digest-pinned deploy variables into deploy.env (image count is repository-specific).
  • Branch behavior on IsLocalBuild only for performance and environment-output concerns, not correctness.
  • If the task shifts into service implementation details, switch to $software-csharp-backend.
  • If the task shifts into fixture design, WireMock/Testcontainers setup, or anti-flake test structure, switch to $qa-testing-nunit.

Workflow

  1. Model or review target graph sequencing and execution constraints. Load references/nuke-target-graph-design.md.
  2. Design the build-test loop for early failures and rapid signal. Load references/build-test-feedback-loop.md.
  3. Define and verify test category filters for unit/API/DB/component separation. Load references/test-categories-and-filters.md.
  4. Implement coverage and test reporting with merge/publish outputs. Load references/coverage-and-reporting.md.
  5. Implement Docker build/push with tag + digest capture and deployment outputs. Load references/docker-build-push-patterns.md.
  6. Enforce stable artifact contracts and environment outputs. Load references/artifacts-and-output-contracts.md.
  7. Tune local vs CI behavior without hiding pipeline defects. Load references/local-vs-ci-behavior.md.
  8. Harden reliability, logs, and diagnostics for CI incident response. Load references/pipeline-reliability-and-observability.md.
  9. Run command hygiene and environment preflight checks before final run. Load references/execution-preflight-and-command-hygiene.md.
  10. Run anti-pattern review before finalizing. Load references/nuke-pipeline-antipatterns.md.

Decision Tree

  • If target ordering is incorrect or unexpected targets run, use references/nuke-target-graph-design.md.
  • If feedback loop is too slow or flaky, use references/build-test-feedback-loop.md.
  • If test scope is wrong in CI or local runs, use references/test-categories-and-filters.md.
  • If coverage or JUnit artifacts are missing/partial, use references/coverage-and-reporting.md.
  • If Docker outputs are not traceable or digest pinning is missing, use references/docker-build-push-patterns.md.
  • If downstream jobs cannot consume artifacts or env outputs, use references/artifacts-and-output-contracts.md.
  • If local and CI behavior diverge unexpectedly, use references/local-vs-ci-behavior.md.
  • If failures are hard to debug from logs, use references/pipeline-reliability-and-observability.md.
  • If failures come from shell quoting, glob expansion, missing files, or environment prerequisites, use references/execution-preflight-and-command-hygiene.md.
  • If pipeline quality regresses during refactors, use references/nuke-pipeline-antipatterns.md.

Do / Avoid

Do

  • Keep targets deterministic and side effects explicit.
  • Keep test stages isolated by category and risk profile.
  • Keep coverage/report merge as a first-class target in the graph.
  • Keep Docker outputs traceable through tag, digest, and exported env variables.
  • Keep artifact paths and names stable across branches and CI systems.

Avoid

  • Mixing orchestration and hidden side effects inside unrelated targets.
  • Running expensive integration tests before compile/unit gates.
  • Changing output file names without updating consumer jobs.
  • Using local-only shortcuts that invalidate CI parity.
  • Ignoring digest capture and shipping mutable image references.

Resources

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能力 2

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能力 4

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.65%
按下载量换算116

Claude

34%
按下载量换算114

Cursor

19.38%
按下载量换算65

Gemini CLI

8.76%
按下载量换算29

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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