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Agent Skill · 研究检索

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

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。

unit-test-analyzing-code-coverage 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 61,604。

总安装 349周安装 14GitHub Stars 5下载 113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
unknown

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

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。

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。

来源仓库内路径:skills/unit-test-analyzing-code-coverage

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-analyzi…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

unit-test-analyzing-code-coverage 怎么安装?

在终端执行 npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-analyzing-code-co…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

unit-test-analyzing-code-coverage 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

unit-test-analyzing-code-coverage 需要什么权限?

权限级别是只读。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。

unit-test-analyzing-code-coverage 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

unit-test-analyzing-code-coverage 用的人多吗?

公开数据是累计安装 349 次,近一周安装 14 次,下载 113 次,GitHub 5 星。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。

unit-test-analyzing-code-coverage 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
unit-test-analyzing-code-coverage

单元测试分析代码覆盖率 · 本页

3495只读未明确通过

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

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

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。目前只有一个公开来源,建议同时核对源仓库。

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