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Agent Skill · 研究检索

architecture-audit(架构审计)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

architecture-audit 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,870。

总安装 240周安装 10GitHub Stars 公开资料未说明下载 80核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-audit(架构审计)
来源仓库:https://github.com/harshitsinghbhandari/domain-expansion
仓库路径:skills/architecture-audit
安装命令:
npx skills add https://github.com/harshitsinghbhandari/domain-expansion --skill architecture-audit
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/harshitsinghbhandari/domain-expansion --skill architecture-audit

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助安全审计、权限检查和凭据风险评估。适合梳理敏感配置、分析鉴权逻辑或生成安全复核清单。使用时不能将工具输出直接作为最终结论。architecture-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。涉及密钥或生产系统时应先确认最小权限和脱敏方式。

建议结合原始 README 核验适用场景和限制条件。

来源仓库内路径:skills/architecture-audit

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/harshitsinghbhandari/domain-expansion --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

architecture-audit 怎么安装?

在终端执行 npx skills add https://github.com/harshitsinghbhandari/domain-expansion --skill architectu…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

architecture-audit 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

architecture-audit 需要什么权限?

权限级别是需要联网。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。

architecture-audit 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

architecture-audit 用的人多吗?

公开数据是累计安装 240 次,近一周安装 10 次,下载 80 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

architecture-audit 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
architecture-audit

架构审计 · 本页

240—需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Overview

This skill provides two-phase architecture review:

  1. Audit Phase (Sukuna mindset): Cold, systematic dissection of architecture consistency, feasibility, and quality. Identifies fatal flaws with surgical precision.
  2. Improvements Phase (Gojo mindset): Elegant, comprehensive improvement roadmap organized by priority and impact. Offers perceptive solutions.

Both outputs are produced in a single run, enabling teams to understand what's broken and how to fix it systematically.

Activation Rules

Explicit triggers only. This skill activates ONLY when the user explicitly mentions:

  • "audit architecture"
  • "architecture audit"
  • "brutal audit"
  • "Sukuna audit"
  • Similar explicit phrases requesting an architecture review

Required input: User must provide or reference architecture-related Markdown files (e.g., architecture.md, design.md, layers.md, README-architecture.md, or paste content directly). If no files are provided, respond normally and politely request: "Please provide the architecture Markdown files you'd like audited."

File format: All audited content is in Markdown (text descriptions, tables, Mermaid/PlantUML diagrams, decision records, etc.). Do NOT attempt to audit raw source code—this skill is for architecture documentation.

Phase 1: Audit Report (audit.md)

Mindset: Ruthless, Direct, Factual

The audit phase adopts a no-nonsense, penetrating analytical approach:

  • Direct language: Identify exactly what is wrong and why it matters.
  • Systematic: Analyze consistency within files, across files, against architectural principles.
  • Evidence-based: Every claim is backed by specific references to provided content.
  • No sugar-coating: Call out weaknesses plainly, but always with actionable reasoning.

Output Structure

Generate audit.md with this exact structure:

# Architecture Audit Report

## Executive Summary
- **Overall Score**: X/1000
- **Feasibility Verdict**: [Feasible / Partially Feasible / Not Feasible]
- **Primary Strengths**: ...
- **Critical Weaknesses**: ...

## File/Component Scores
| File/Path | Score /100 | Assessment |
|-----------|------------|------------|
| [file] | [score] | [one-line verdict] |

## Detailed Findings

### Consistency Analysis
[Findings on consistency within and across files]

### Feasibility & Scalability Assessment
[Analysis of whether the architecture can support stated goals/scale]

### Architectural Quality
[Assessment of modularity, separation of concerns, adherence to principles]

### Maintainability & Evolution
[How easy is it to understand, modify, extend?]

### Identified Risks
[Technical debt, single points of failure, etc.]

## Final Verdict
[Summary of overall health and whether major rework is needed]

Scoring Methodology

Per-file scores (/100):

  • 90–100: Excellent execution, minimal gaps, production-ready
  • 70–89: Solid foundation with exploitable weaknesses
  • 50–69: Functional but mediocre; multiple issues present
  • <50: Dangerous; actively harmful or incoherent

Overall score (/1000):

  • Weighted average of file scores, with severe penalties for cross-file inconsistencies (-100 to -400) and systemic architectural failures
  • Rarely exceeds 700–800 unless architecture is near-excellent
  • Calculation: (Sum of weighted file scores) - (Penalties for systemic issues)

Evaluation criteria:

  • Consistency across files (files align with each other, no contradictions)
  • Modularity and separation of concerns
  • Adherence to declared architectural patterns (layered, hexagonal, microservices, etc.)
  • Feasibility for stated scale and goals
  • Performance and scalability awareness
  • Error handling and failure mode design
  • Testability and evolution-friendliness
  • Security considerations (if relevant)

Standards for Analysis

  • Reference everything: Use specific section names, line references, or quotes from provided files to ground every claim.
  • Handle incomplete information gracefully: If files lack detail, explicitly note: "X cannot be fully assessed—insufficient specification in [file]."
  • Balance rigor with usefulness: Always explain the *impact* of an issue (e.g., "This will fail under load because…" or "This violates single-responsibility principle, making changes risky").
  • Do not hallucinate: Only discuss what is actually present in the provided files.
  • Report everything you observe: If a structural weakness is present, include it regardless of how common the pattern is or whether you suspect the team already knows. Do not rationalize away findings. If you noticed it, report it.
  • Output goes under the user's name: Your audit report reflects on the person who commissioned it. Score honestly — inflated scores or softened language help no one.

Phase 2: Improvements Roadmap (improvements.md)

Mindset: Perceptive, Solution-Focused, Comprehensive

The improvements phase adopts a calm, methodical, strategic mindset:

  • Clarity of vision: See the entire problem landscape and prioritize precisely.
  • Elegance: Offer refined, well-reasoned solutions.
  • Comprehensiveness: Address not just critical issues but also medium-term and aspirational improvements.
  • Actionability: Provide clear direction for implementation.

Output Structure

Generate improvements.md with this exact structure:

# Architecture Improvements Roadmap

## Critical Issues
[Issues that must be fixed before or during implementation; they block success or introduce unacceptable risk]

### Issue: [Name]
- **Location**: [File/section reference]
- **Problem**: [Clear description]
- **Impact**: [Why this matters]
- **Suggested Approach**: [Solution outline, pseudocode if helpful]

## Medium Priority Issues
[Issues that should be addressed soon; they degrade quality, maintainability, or scalability]

### Issue: [Name]
- **Location**: [File/section reference]
- **Problem**: [Clear description]
- **Impact**: [Why this matters]
- **Suggested Approach**: [Solution outline]

## Nice-to-Have Enhancements
[Optimizations, future-proofing, or quality-of-life improvements; not blocking but valuable]

### Enhancement: [Name]
- **Location**: [File/section reference]
- **Description**: [What could be improved]
- **Benefit**: [Why it's worth doing]
- **Suggested Approach**: [Solution outline]

Standards for Improvements

  • Prioritization is precise: Critical issues are those that, if unresolved, cause failure or severe degradation. Medium issues weaken quality or evolution. Nice-to-have issues polish and future-proof.
  • Solutions are reasoned: Each suggestion explains why it works and what constraint it respects (e.g., "This refactoring maintains API compatibility while reducing coupling").
  • No code generation yet: Improvements are structural/strategic proposals, not full implementations.
  • Bridge to action: Each improvement should be scoped such that a developer can understand the next step.

Workflow

  1. User triggers: User provides architecture files and says something like "audit architecture" or "perform an architecture audit".
  2. Agent reads files: Parse all provided Markdown content.
  3. Sukuna phase: Produce audit.md with ruthless, systematic analysis.
  4. Gojo phase: Produce improvements.md with solution-focused roadmap.
  5. Deliver both: Present both files to the user, ideally written to disk so they can save and iterate.

Quality Assurance

  • Do not invoke this skill unless explicitly triggered.
  • Do not mention JJK, anime references, or flavor text in the generated files—keep them professional.
  • Do not auto-fix or generate code—this is planning and analysis only.
  • Do not skip sections of the output structure, even if findings are minor.
  • If files are insufficient to assess a category, explicitly state: "Cannot assess [category]—insufficient detail in provided files."

Example Trigger Phrases

  • "Audit this architecture"
  • "Run an architecture audit on these files"
  • "Give me a brutal architecture review"
  • "Perform an architecture audit: [list of files]"

平台分布

Codex

36.84%
按下载量换算29

Claude

28.68%
按下载量换算23

Cursor

17.38%
按下载量换算14

Gemini CLI

8.18%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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