Token导航 LogoToken导航

Agent Skill · 研究检索

qa-architecture-auditor(质量保证架构审核员)

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。

qa-architecture-auditor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,611。

总安装 8,427周安装 362GitHub Stars 公开资料未说明下载 2,954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
MIT-0
版本
1.1.0

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

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。

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。

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 OpenClaw;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 openclaw skills install qa-architecture-auditor;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

    它需要接触敏感数据,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

qa-architecture-auditor 怎么安装?

在终端执行 openclaw skills install qa-architecture-auditor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qa-architecture-auditor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

qa-architecture-auditor 需要什么权限?

权限级别是接触敏感数据。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。

qa-architecture-auditor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

qa-architecture-auditor 用的人多吗?

公开数据是累计安装 8,427 次,近一周安装 362 次,下载 2,954 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。

qa-architecture-auditor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
qa-architecture-auditor

质量保证架构审核员 · 本页

8,427—接触敏感数据MIT-0有提醒

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

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.

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

接触敏感数据

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。

继续浏览同类 Skills