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architecture-review架构评论

Agent Skill

architecture-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

760

周安装

32

GitHub Stars

22

下载量

266
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:architecture-review(架构评论)
来源仓库:https://github.com/ionfury/homelab
仓库路径:skills/architecture-review
安装命令:
npx skills add https://github.com/ionfury/homelab --skill architecture-review
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/ionfury/homelab --skill architecture-review

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/ionfury/homelab --skill architecture-review。
  • 建议确认权限范围、维护状态及是否触发联网或文件读写。

SKILL.md

Architecture Evaluation Framework

Current Technology Stack

Current technology stack: see references/technology-decisions.md

Evaluation Criteria

When evaluating any proposed technology addition or architecture change, score against these criteria:

1. Principle Alignment

Score each core principle (Strong/Weak/Neutral):

  • Enterprise at Home: Does it reflect production-grade patterns?
  • Everything as Code: Can it be fully represented in git?
  • Automation is Key: Does it reduce or increase manual toil?
  • Learning First: Does it teach valuable enterprise skills?
  • DRY and Code Reuse: Does it leverage existing patterns or create duplication?

2. Stack Fit

  • Does this overlap with existing tools? (e.g., adding Redis when Dragonfly exists)
  • Does it integrate with the GitOps workflow? (Must be Flux-deployable)
  • Does it work on bare-metal? (No cloud-only services)
  • Does it support the multi-cluster model? (dev → integration → live)

3. Operational Cost

  • How is it monitored? (Must integrate with kube-prometheus-stack)
  • How is it backed up? (Must have a recovery story)
  • How does it handle upgrades? (Must be declarative, ideally via Renovate)
  • What's the failure blast radius? (Isolated > cluster-wide)

4. Complexity Budget

  • Is the complexity justified by the learning value?
  • Could a simpler existing tool solve the same problem?
  • What's the maintenance burden over 12 months?

5. Alternative Analysis

  • What existing stack components could solve this? (Always check first)
  • What are the top 2-3 alternatives in the ecosystem?
  • What do other production homelabs use? (kubesearch research)

6. Failure Modes

  • What happens when this component is unavailable?
  • How does it interact with network policies? (Default deny)
  • What's the recovery procedure? (Must be documented in a runbook)
  • Can it self-heal? (Strong preference for self-healing)

Anti-Patterns to Challenge

Anti-PatternWhy It's WrongCorrect Approach
"Just run a container" without monitoringInvisible failures, no alertingServiceMonitor + PrometheusRule required
Adding a new tool when existing ones sufficeStack bloat, maintenance burdenEvaluate existing stack first
Skipping observability "for now"Technical debt that never gets paidMonitoring is day-1, not day-2
Cloud-only servicesVendor lock-in, can't run on bare-metalSelf-hosted alternatives preferred
Single-instance without HA storySingle point of failureAt minimum, document recovery procedure

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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

36.79%
按下载量换算98

Claude

32%
按下载量换算85

Cursor

19.04%
按下载量换算51

Gemini CLI

8.6%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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