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ai-generated-ut-code-reviewai 生成 ut 代码审查

Agent Skill

ai-generated-ut-code-review 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

1,175

周安装

48

GitHub Stars

18

下载量

380
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:ai-generated-ut-code-review(ai 生成 ut 代码审查)
来源仓库:https://github.com/openharmonyinsight/openharmony-skills
仓库路径:skills/ai-generated-ut-code-review
安装命令:
npx skills add https://github.com/openharmonyinsight/openharmony-skills --skill ai-generated-ut-code-review
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/openharmonyinsight/openharmony-skills --skill ai-generated-ut-code-review

简介

AI 生成 UT 代码审查技能评估单元测试的有效性、覆盖率与断言质量。

  • 适用于确保测试代码具备高覆盖率(≥80%)和健壮负例的场景。
  • 通过 npx 命令安装并使用,建议结合原始 README 核验具体用法。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件读写操作。
  • ai-generated-ut-code-review 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

AI UT Code Review

Overview

Review AI-generated unit tests for effectiveness, coverage, assertions, negative cases, determinism, and maintainability. Output a 0-10 score, a risk level, and a must-fix checklist. Overall line coverage must be >= 80%; otherwise risk is at least High.

When to Use

  • AI-generated UT/test code review or quality evaluation
  • Need scoring, risk level, or must-fix checklist
  • Questions about coverage or assertion validity

Workflow

  1. Confirm tests target the intended business code and key paths.
  2. Check overall line coverage (>= 80% required).
  3. Inspect assertions for behavioral validity; flag missing/ineffective assertions.
  4. Verify negative/edge cases and determinism (no env/time dependency).
  5. Score by rubric, assign risk, list must-fix items with evidence.

Scoring (0-10)

Each dimension 0-2 points. Sum = total score.

Dimension012
Coverage< 80%80%+ but shallow80%+ and meaningful
Assertion QualityNo/invalid assertionsSome weak assertionsBehavior-anchored assertions
Negative & EdgeMissingPartialComprehensive
Data & IsolationFlaky/env-dependentMixedDeterministic, isolated
MaintainabilityHard to read/modifyMixed qualityClear structure & naming

Risk Levels

  • Blocker: Coverage < 80% AND key paths untested, or tests have no meaningful assertions
  • High: Coverage < 80% OR assertions largely ineffective
  • Medium: Coverage OK but weak edge cases or fragile design
  • Low: Minor improvements

Must-Fix Checklist

  • Overall line coverage >= 80%
  • Each test has at least one behavior-relevant assertion
  • Negative/exception cases exist for core logic
  • Tests are deterministic and repeatable

AI-Generated Test Pitfalls (Check Explicitly)

  • No assertions or assertions unrelated to behavior (e.g., only not-null)
  • Over-mocking hides real behavior
  • Only happy-path coverage
  • Tests depend on time/network/env
  • Missing verification of side effects

Output Format (Required, Semi-fixed)

  • Score: x/10 — Coverage x, Assertion Quality x, Negative & Edge x, Data & Isolation x, Maintainability x
  • Risk: Low/Medium/High/Blocker — 简述原因(1 行)
  • Must-fix:

- [动作 + 证据] - [动作 + 证据]

  • Key Evidence:

- 引用具体测试用例名或覆盖率报告摘要(1-2 条)

  • Notes:

- 最小修复建议或替代方案(1-2 行)

Rules:

  • 覆盖率 < 80% 风险至少 High,并必须列入 Must-fix
  • 无断言/无效断言直接提升风险级别,必须列入 Must-fix
  • 至少 2 条证据;证据不足需说明并降分

Common Mistakes

  • 仅报告覆盖率,不评价断言有效性
  • 把日志输出当成断言
  • 忽略失败路径/异常路径

Example (Concise)

Score: 5/10 (Coverage 1, Assertion 0, Negative 1, Data 2, Maintainability 1) Risk: High Must-fix:

  • Tests for parseConfig() contain no behavior assertions (only logs)
  • No negative cases for malformed input Key Evidence:
  • parseConfig() tests only assert no crash
  • Coverage report shows 62% lines Notes:
  • Add assertions on outputs and side effects; add invalid input tests.

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

36.54%
按下载量换算139

Claude

27.57%
按下载量换算105

Cursor

20.18%
按下载量换算77

Gemini CLI

8.89%
按下载量换算34

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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