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defect-lifecycle-manager缺陷生命周期经理

Agent Skill

defect-lifecycle-manager 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

233

周安装

10

GitHub Stars

3

下载量

82
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:defect-lifecycle-manager(缺陷生命周期经理)
来源仓库:https://github.com/javalenciacai/qaskills
仓库路径:skills/defect-lifecycle-manager
安装命令:
npx skills add https://github.com/javalenciacai/qaskills --skill defect-lifecycle-manager
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/javalenciacai/qaskills --skill defect-lifecycle-manager

简介

缺陷全生命周期管理工具,覆盖从登记到关闭的完整状态流转。

  • 支持根因分析、趋势统计与闭环验证,集成质量指标看板。
  • NEW/ASSIGNED/IN_PROGRESS 等六态模型确保责任到人及时跟进。
  • 可与 JIRA 双向同步,保持外部工单系统与内部跟踪一致。
  • defect-lifecycle-manager 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Defect Lifecycle Manager

Expert skill for managing defects throughout their lifecycle and tracking quality metrics.

When to Use

Use this skill when you need to:

  • Log new defects with complete information
  • Track defect status and lifecycle
  • Analyze defect trends and metrics
  • Conduct root cause analysis
  • Report quality status to stakeholders
  • Verify defect fixes
  • Prevent defect recurrence

Defect Lifecycle States

NEW → ASSIGNED → IN PROGRESS → RESOLVED → VERIFIED → CLOSED
                                    ↓
                                REOPENED (if verification fails)

State Definitions

NEW: Just logged, awaiting triage ASSIGNED: Assigned to developer IN PROGRESS: Developer actively working RESOLVED: Fix completed, ready for verification VERIFIED: QA confirmed fix works CLOSED: Accepted and archived REOPENED: Fix didn't work, back to dev

Defect Logging Standards

Complete Defect Report

Defect ID: [Auto-generated or manual]
Title: [Action] + [Component] + [Unexpected Behavior]
  Example: "Login button does not respond on mobile Chrome"

Type: [Functional/UI/Performance/Security/Data/Integration]
Severity: [Critical/High/Medium/Low]
Priority: [P0/P1/P2/P3]

Reported By: [Name]
Date Reported: [Date]
Detected In: [Environment]
Build/Version: [x.y.z]

Environment Details:
- OS: [Platform + version]
- Browser/Device: [Details]
- Network: [WiFi/Mobile/etc]

Preconditions:
[System state before reproduction]

Steps to Reproduce:
1. [Exact action]
2. [Exact action]
3. [Exact action]

Expected Result:
[What should happen per requirements]

Actual Result:
[What actually happened]

Reproducibility: [Always / Intermittent (X out of Y attempts)]

Impact:
[Who is affected? How many users? What's blocked?]

Attachments:
- Screenshot: [filename]
- Error log: [filename]
- Video: [filename]
- Network trace: [filename]

Additional Context:
- Related defects: [Links]
- Related requirements: [Links]
- Workaround: [If available]

Defect Triage Process

Step 1: Validate

  • Can you reproduce it?
  • Is it a duplicate?
  • Is it really a defect or expected behavior?

Step 2: Categorize

  • Determine type and root cause area
  • Assign to correct component/team

Step 3: Assess Impact

  • Severity (technical impact)
  • Priority (business impact + timing)
  • Customer impact

Step 4: Assign & Schedule

  • Route to appropriate developer
  • Set target fix version
  • Establish timeline

Defect Metrics & Analysis

Key Metrics

Defect Density

Defects per 1000 lines of code
or
Defects per feature/module

Defect Detection Rate

(Defects found in QA) / (Total defects found)
Goal: 90%+ caught before production

Defect Age

Days from New → Closed
Track: Average, Median, Max

Fix Time

Days from Assigned → Resolved
By severity level

Reopen Rate

(Reopened defects) / (Total resolved)
Goal: < 10%

Defect Escape Rate

(Production defects) / (Total defects)
Goal: < 5%

Trend Analysis

Monitor weekly/monthly:

  • Defect discovery rate (increasing/decreasing?)
  • Open vs closed trend (gap closing or widening?)
  • Severity distribution (more critical over time?)
  • Component hot spots (which areas have most defects?)
  • Root cause patterns (similar issues repeating?)

Root Cause Analysis

5 Whys Technique

Problem: Users unable to login

Why? → Authentication service returned error 500
Why? → Database connection timed out
Why? → Connection pool exhausted
Why? → Pool size set too low for expected load
Why? → Configuration not updated after scaling users

Root Cause: Incorrect configuration management
Prevention: Add load testing + auto-scaling configs

Common Root Causes

  1. Requirements Issues

- Missing information - Ambiguous specifications - Changing requirements

  1. Design Issues

- Incorrect architecture - Missing edge case handling - Performance not considered

  1. Implementation Issues

- Coding errors - Logic mistakes - Missing validation

  1. Testing Gaps

- Test cases missing scenarios - Insufficient coverage - Environment differences

  1. Environmental Issues

- Configuration problems - Deployment errors - Integration failures

Defect Prevention

Based on root cause analysis:

  • Update Requirements: Add missing acceptance criteria
  • Enhance Test Cases: Cover discovered edge cases
  • Improve Code Reviews: Add checklists for common issues
  • Automate Detection: Create automated tests
  • Team Training: Share lessons learned
  • Process Improvements: Update development practices

Defect Verification

When defect is marked RESOLVED:

Verification Steps

  1. Review Fix: Understand what was changed
  2. Verify Original Issue: Run original reproduction steps
  3. Test Related Areas: Check for unintended side effects
  4. Regression Test: Ensure fix doesn't break other features
  5. Edge Cases: Test variations of original scenario
  6. Document Result: Update defect with verification notes

Verification Outcomes

  • VERIFIED: Fix works, no side effects → CLOSED
  • REOPENED: Issue still occurs or new issues introduced
  • ⚠️ PARTIAL: Fixed but with new concerns → Discuss with dev

Defect Status Reports

Daily Standup Update

Yesterday: Fixed 5 defects, found 3 new
Today: Will verify 8 fixes, test new feature
Blockers: 2 critical defects blocking release

Weekly Status Report

Week: [Date range]

Defect Summary:
- Opened: 45
- Closed: 38
- Net Change: +7

Open Defects: 67 total
- Critical: 2
- High: 12
- Medium: 35
- Low: 18

Top Risks:
1. [Critical defect description + impact]
2. [High priority issue + timeline]

Trends:
- Defect rate decreasing (good)
- Backlog growing (concerning)
- Most defects in payment module (focus area)

Release Readiness Report

Release: v2.3.0
Date: [Target date]

Status: [GREEN / YELLOW / RED]

Defect Gate Criteria:
✓ Critical defects: 0 (Goal: 0)
✓ High defects: 2 (Goal: ≤3)
✗ P0/P1 open: 1 (Goal: 0) ← BLOCKER

Recommendation: [Go / No-Go / Conditional Go]

Conditions for Go:
1. [Must fix BUG-XXX by date]
2. [Must complete regression testing]

Best Practices

  • ✓ Log defects immediately, don't batch
  • ✓ Be specific and factual, not subjective
  • ✓ Include all reproduction steps
  • ✓ Attach evidence (screenshots, logs)
  • ✓ Follow up on assigned defects
  • ✓ Verify fixes thoroughly
  • ✓ Close defects promptly
  • ✓ Analyze patterns for prevention
  • ✓ Communicate risks early
  • ✓ Keep stakeholders informed

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

33.98%
按下载量换算28

Claude

27.63%
按下载量换算23

Cursor

20.58%
按下载量换算17

Gemini CLI

9.67%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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