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qa-architecture-auditor质量保证架构审核员

Agent Skill

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。

总安装

8,427

周安装

362

GitHub Stars

公开资料未说明

下载量

2,954
OpenClaw

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

MIT-0

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:qa-architecture-auditor(质量保证架构审核员)
来源仓库:https://github.com/shifulegend/qa-architecture-auditor
安装命令:
openclaw skills install qa-architecture-auditor
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install qa-architecture-auditor

简介

深度分析代码库质量与测试策略完整性。qa-architecture-auditor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在 OpenClaw 中担任 QA 架构师角色时使用。
  • 生成全面质量保证报告和潜在改进点清单。
  • 安装命令:openclaw skills install qa-architecture-auditor。
  • 输出结果需人工复核,不可直接作为最终决策依据。

SKILL.md

name
qa-architecture-auditor
description
>
metadata
openclaw
emoji
🌀
files
["scripts/analyze_repo.py"]
requires
env
[]
bins
["python3", "git"]
homepage
https://github.com/shifulegend/qa-architecture-auditor

QA Architecture Auditor

This skill performs deep forensic analysis of codebases and produces exhaustive QA testing strategy reports with IT General Controls compliance. It provides independent baselines, vulnerability assessments, from-scratch test cases, and tooling recommendations for every testing methodology.

What This Skill Does

  • Analyzes repository structure, languages, frameworks, and dependencies
  • Maps architecture and identifies critical risk areas
  • Generates comprehensive testing strategy reports (HTML and Markdown formats)
  • Provides specific, tailored test cases for each methodology
  • Recommends industry-standard tools based on tech stack
  • Ensures zero-trust approach: ignores all existing tests

When to Use This Skill

Use this skill when you need:

  • A complete QA strategy built from scratch (no reuse of existing tests)
  • Forensic-level codebase analysis for security and quality compliance
  • ITGC-ready testing documentation for system transitions
  • Detailed testing matrix covering all standard and specialized methodologies
  • Independent validation plan for unproven or legacy codebases

Quick Start

Provide a local repository path or git URL:

qa-architecture-auditor --repo /path/to/repo --output report.html

The skill will:

  1. Clone/access the repository
  2. Analyze code structure, dependencies, and business logic
  3. Identify high-risk modules and security vulnerabilities
  4. Generate comprehensive testing strategy report
  5. Provide tooling recommendations and specific test cases

Command-Line Interface

usage: qa-audit [-h] --repo REPO [--output OUTPUT] [--format {html,md}] [--include-risk-prioritization] [--include-test-cases] [--include-tooling] [--exclude EXCLUDE] [--max-depth MAX_DEPTH] [--security-scan] [--compliance {itgc,soc2,iso27001,hipaa,gdpr}]

Perform forensic QA architecture analysis and generate testing strategy report.

options:
  -h, --help            show this help message and exit
  --repo REPO, -r REPO  Repository path or git URL
  --output OUTPUT, -o OUTPUT
                        Output file path (default: qa-report.html)
  --format {html,md}, -f {html,md}
                        Output format (default: html)
  --include-risk-prioritization
                        Include risk prioritization matrix
  --include-test-cases  Include detailed test cases for each methodology
  --include-tooling     Include tooling recommendations
  --exclude EXCLUDE, -e EXCLUDE
                        Comma-separated directories to exclude from analysis
  --max-depth MAX_DEPTH
                        Maximum directory traversal depth
  --security-scan       Perform security vulnerability scanning
  --compliance {itgc,soc2,iso27001,hipaa,gdpr}
                        Compliance framework to target

Report Sections

The generated report includes:

  1. Executive Summary - High-level findings and recommendations
  2. Codebase Analysis - Languages, frameworks, dependencies, architecture patterns
  3. Risk Assessment - High-risk modules and security concerns
  4. Testing Matrix - Comprehensive strategies for each methodology:

- Core Execution: Black Box, White Box, Manual, Automated - Functional & Structural: Unit, Integration, System, Functional, Smoke, Sanity, E2E, Regression, API, Database Integrity - Non-Functional: Performance, Security, Usability, Compatibility, Accessibility, Localization - Specialized: Acceptance (UAT), Exploratory Testing

  1. From-Scratch Test Cases - Specific examples for critical paths
  2. Tooling Recommendations - Best tools for the detected tech stack
  3. ITGC Compliance - Controls and readiness assessments

External Endpoints

The skill may make outbound network connections only for:

EndpointPurposeData Sent
Git remotes (HTTPS/SSH)Clone or fetch repository contentAuthentication credentials if using SSH keys or HTTPS token; repository data read-only

No other external services are contacted.

Security & Privacy

  • Local processing: All code analysis runs locally; no code is sent to third-party APIs.
  • Git operations: When analyzing a remote repository, the skill performs git clone or git fetch. This may transmit repository data over the network and may require authentication if the repo is private.
  • Output: The generated report is written to the local filesystem at the specified path.
  • Environment: The skill does not require any environment variables. It does not modify system settings.

Model Invocation Note

This skill runs as an autonomous CLI tool. Once invoked (via /qa-audit or direct shell), it performs the analysis without further model interaction. The heavy lifting is done by the Python script; no external AI inference is required during execution.

Trust Statement

By using this skill, you trust that the code analysis and recommendations are accurate to the best of the tool's capabilities. The skill does not exfiltrate your code to external services beyond the Git operations you explicitly authorize. Only install and run this skill on codebases you have permission to analyze.

Implementation Notes

  • The skill uses static analysis to understand code without execution
  • Supports major languages: JavaScript/TypeScript, Python, Java, Go, Rust, C#, Ruby, PHP
  • Detects frameworks: React, Vue, Angular, Django, Flask, Spring, Express, etc.
  • Generates risk scores based on complexity, external dependencies, and data handling
  • Produces both human-readable HTML and machine-parsable Markdown

References

For detailed methodology guidance, see:

  • references/methodologies.md - Testing approach definitions and decision criteria
  • references/risk-assessment.md - Risk scoring algorithm and vulnerability patterns
  • references/tooling-matrix.md - Tool recommendations by language and framework
  • references/compliance-frameworks.md - ITGC and audit requirements

License

MIT

Contributing

Improvements and contributions are welcome. Please open an issue or pull request on the GitHub repository.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

96.53%
按下载量换算2,851

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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