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quality-audit-workflow质量审核工作流程

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

1,304

周安装

56

GitHub Stars

55

下载量

457
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

3

许可证

MIT

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:quality-audit-workflow(质量审核工作流程)
来源仓库:https://github.com/rysweet/amplihack
仓库路径:skills/quality-audit-workflow
安装命令:
npx skills add https://github.com/rysweet/amplihack --skill quality-audit-workflow
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rysweet/amplihack --skill quality-audit-workflow

简介

quality-audit-workflow 用于辅助安全审计、权限检查、凭据风险与认证流程分析,支持生成安全复核清单。

  • 适用于梳理敏感配置、检查依赖风险或分析鉴权逻辑的场景。
  • 通过调用审计接口输出检查结果,需结合人工判断使用。
  • 涉及用户数据或生产系统时,应先确认操作边界与脱敏要求。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Quality Audit Workflow

Purpose

Orchestrates a systematic, parallel quality audit of any codebase with automated remediation through PR generation and PM-prioritized recommendations.

When I Activate

I automatically load when you mention:

  • "quality audit" or "code audit"
  • "codebase review" or "full code review"
  • "refactoring opportunities" or "technical debt audit"
  • "module quality check" or "architecture review"
  • "parallel analysis" with multiple agents

What I Do

Execute a 7-phase workflow that:

  1. Familiarizes with the project (investigation phase)
  2. Audits using parallel agents across codebase divisions
  3. Creates GitHub issues for each discovered problem 3.5. Validates against recent PRs (prevents false positives)
  4. Generates PRs in parallel worktrees per remaining issues
  5. Reviews PRs with PM architect for prioritization
  6. Reports consolidated recommendations in master issue

Quick Start

User: "Run a quality audit on this codebase"
Skill: *activates automatically*
       "Beginning quality audit workflow..."

The 7 Phases

Phase 1: Project Familiarization

  • Run investigation workflow on project structure
  • Map modules, dependencies, and entry points
  • Understand existing patterns and architecture

Phase 2: Parallel Quality Audit

  • Divide codebase into logical sections
  • Deploy multiple agent types per section (analyzer, reviewer, security, optimizer)
  • Apply PHILOSOPHY.md standards ruthlessly
  • Check module size, complexity, single responsibility

Phase 3: Issue Assembly

  • Create GitHub issue for each finding
  • Include severity, location, recommendation
  • Tag with appropriate labels
  • Add unique IDs, keywords, and file metadata

Phase 3.5: Post-Audit Validation [NEW]

  • Scan merged PRs from last 30 days (configurable)
  • Calculate confidence scores for PR-issue matches
  • Auto-close high-confidence matches (≥90%)
  • Tag medium-confidence matches (70-89%) for verification
  • Add bidirectional cross-references between issues and PRs
  • Target: <5% false positive rate

Phase 4: Parallel PR Generation

  • Create worktree per remaining open issue (worktrees/fix-issue-XXX)
  • Run DEFAULT_WORKFLOW.md in each worktree
  • Generate fix PR for each confirmed open issue

Phase 5: PM Review

  • Invoke pm-architect skill
  • Group PRs by category and priority
  • Identify dependencies between fixes

Phase 6: Master Report

  • Create master GitHub issue
  • Link all related issues and PRs
  • Prioritized action plan with recommendations

Philosophy Enforcement

This workflow ruthlessly applies:

  • Ruthless Simplicity: Flag over-engineered modules
  • Module Size Limits: Target <300 LOC per module
  • Single Responsibility: One purpose per brick
  • Zero-BS: No stubs, no TODOs, no dead code

Navigation Guide

When to Read Supporting Files

reference.md - Read when you need:

  • Detailed phase execution steps
  • Agent-to-phase mappings
  • Codebase division strategies
  • Issue template formats

examples.md - Read when you need:

  • Working audit examples
  • Sample issue/PR formats
  • Real-world usage patterns
  • Output format examples

Configuration

Override defaults via environment or prompt:

Core Settings:

  • AUDIT_PARALLEL_LIMIT: Max concurrent worktrees (default: 8)
  • AUDIT_SEVERITY_THRESHOLD: Minimum severity to create issue (default: medium)
  • AUDIT_MODULE_LOC_LIMIT: Flag modules exceeding this LOC (default: 300)

Phase 3.5 Validation Settings [NEW]:

  • AUDIT_PR_SCAN_DAYS: Days to scan for recent PRs (default: 30)
  • AUDIT_AUTO_CLOSE_THRESHOLD: Confidence % for auto-close (default: 90)
  • AUDIT_TAG_THRESHOLD: Confidence % for tagging (default: 70)
  • AUDIT_ENABLE_VALIDATION: Enable Phase 3.5 (default: true)

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

04

需要参考平台分布和安装热度时

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

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

Claude Code

28.92%
按下载量换算132

OpenCode

26.72%
按下载量换算122

Antigravity

17.59%
按下载量换算80

Gemini CLI

12.68%
按下载量换算58

github-copilot

7.57%
按下载量换算35

Codex

3.56%
按下载量换算16

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

来源信息

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