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unit-test-analyzing-code-coverage单元测试分析代码覆盖率

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

349

周安装

14

GitHub Stars

5

下载量

113
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:unit-test-analyzing-code-coverage(单元测试分析代码覆盖率)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/unit-test-analyzing-code-coverage
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-analyzing-code-coverage
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/wizeline/sdlc-agents --skill unit-test-analyzing-code-coverage

简介

该技能分析代码覆盖率报告并识别未测试模块路径。

  • 适用于提升软件质量与开发效率的场景。
  • 可生成缺失用例建议并与 CI/CD 流程集成。
  • 覆盖率数值不能完全代表测试充分性需综合判断。
  • unit-test-analyzing-code-coverage 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Usage

Apply this skill when:

  • A test suite exists and you need to find what is NOT tested
  • A coverage report (coverage.py, Istanbul, JaCoCo) is provided for analysis
  • A developer asks "what am I missing?" after initial test generation
  • Pre-sprint planning requires coverage gap estimation

Coverage Types — Know All Four

TypeWhat It MeasuresTarget
Line CoverageWere these lines executed?>= 80%
Branch CoverageWere both sides of every if/else hit?>= 75%
Function CoverageWas every function called at least once?>= 90%
Statement CoverageWere all statements executed?>= 80%

Branch coverage is the most valuable — prioritize it.

Coverage Targets in Practice

A passing coverage percentage does not guarantee quality. Apply these rules:

  • Critical paths (authentication, payments, data integrity, error handling) must reach 80%+ line and branch coverage — treat anything below as a HIGH gap
  • Supporting utilities may have lower targets but must still cover error paths
  • High coverage with weak assertions is worse than moderate coverage with strong ones
  • Unit test coverage does not replace integration test coverage — note this distinction explicitly in every gap report when critical cross-service paths are involved

TDD and Coverage

In a TDD workflow, coverage gaps indicate missing Red-Green cycles — not just missing tests. Each uncovered branch represents a behavior that was never defined as a failing test first. Flag this in reports: coverage gaps in a TDD project suggest incomplete feature development, not just incomplete testing.


Analysis Workflow

Read references/index.md before executing any step.

Step 1 — Parse Existing Coverage Data

If a coverage report is provided (XML, JSON, HTML), extract:

  • Overall coverage percentage per file
  • Line numbers with 0 hits (never executed)
  • Branch pairs where one side was never taken
  • Functions with 0 calls

If no report exists, analyze source code structurally:

  • Count all conditional branches (if, elif, else, switch cases, ternary)
  • Count all exception handlers (try/except, try/catch)
  • Count all public functions and methods
  • Cross-reference against existing test file imports and call sites

Step 2 — Classify Each Gap by Severity

SeverityCriteriaPriority
CRITICALCore business logic path untestedFix immediately
HIGHError/exception handler untestedFix this sprint
MEDIUMEdge case or boundary value untestedFix next sprint
LOWTrivial getter/setter, logging lineAcceptable gap

Step 3 — Produce the Gap Report

Output format:

## Coverage Gap Report
**Module:** payment_processor.py
**Current Coverage:** 64% line | 51% branch
**Target:** 80% line | 75% branch
**Gap to Close:** 16% line | 24% branch

### Critical Gaps (must fix)
| Location | Gap Type | Missing Test Description |
|----------|----------|--------------------------|
| line 87  | Branch   | else-branch of refund eligibility check never tested |
| line 134 | Function | process_partial_payment() never called in any test |

### High Gaps (fix this sprint)
| Location | Gap Type | Missing Test Description |
|----------|----------|--------------------------|
| line 201 | Exception| ValueError handler in parse_amount() not covered |

### Recommended New Tests
1. test_process_partial_payment_when_valid_expects_success
2. test_check_refund_eligibility_when_ineligible_expects_false
3. test_parse_amount_when_invalid_string_expects_value_error

Step 4 — Estimate Effort to Close Gap

For each recommended test, estimate:

  • Complexity: LOW | MEDIUM | HIGH (based on mocking needs and logic depth)
  • Estimated lines of test code: ~5-20 per simple test, ~30-60 per complex mock test
  • Total tests needed to reach target coverage

Coverage Tool Integration

Python — coverage.py

coverage run -m pytest
coverage report --show-missing
coverage json -o coverage.json    # for programmatic analysis

JavaScript — Istanbul (nyc / c8)

npx c8 --reporter=json npm test
# Outputs: coverage/coverage-final.json

Java — JaCoCo (Gradle)

./gradlew test jacocoTestReport
# Outputs: build/reports/jacoco/test/jacocoTestReport.xml

C# — coverlet

dotnet test --collect:"XPlat Code Coverage"
# Outputs: coverage.cobertura.xml

Coverage Anti-Patterns to Flag

  • Tests that only cover happy paths (missing negative/error branches)
  • Parametrized tests that share a single code path (not truly multi-branch)
  • Mocks that are too permissive (mock returns True for everything — false coverage)
  • Integration tests counted as unit test coverage (different scope)

Output Deliverables

  1. coverage_gap_report.md — prioritized gap analysis
  2. recommended_tests.md — specific test names and descriptions to write
  3. coverage_delta_estimate.md — projected coverage % after recommended tests are added

适合场景

01

研究助手

02

事实核查

03

知识库问答

04

带来源的搜索总结

能力概览

能力 1

组合搜索和大模型调用

能力 2

支持多来源检索和总结

能力 3

强调引用来源和事实核查

能力 4

适合研究型 Agent 流程

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

31.21%
按下载量换算35

Claude

30.16%
按下载量换算34

Cursor

19.71%
按下载量换算22

Gemini CLI

9.86%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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