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cmd-pr-test-plancmd pr 测试计划

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

374

周安装

15

GitHub Stars

7

下载量

121
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:cmd-pr-test-plan(cmd pr 测试计划)
来源仓库:https://github.com/olshansk/agent-skills
仓库路径:skills/cmd-pr-test-plan
安装命令:
npx skills add https://github.com/olshansk/agent-skills --skill cmd-pr-test-plan
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/olshansk/agent-skills --skill cmd-pr-test-plan

简介

生成手动验证的测试计划,聚焦真实用户流程。

  • 列出需人工操作的步骤与预期结果,排除单元测试范畴。
  • 自动检测 base branch 并关联相关 issue 与 commit。
  • 适用于复杂交互或第三方集成的场景验证。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。
  • cmd-pr-test-plan 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PR Test Plan

Generate a manual test plan for the changes in the current branch. The plan should focus on what a developer/reviewer needs to manually verify — real user flows, integration behavior, and observable outcomes. Leave input validation, error branches, and edge cases to unit tests.

Instructions

Step 1: Detect base branch

Try these methods in order:

BASE_BRANCH=$(gh repo view --json defaultBranchRef -q '.defaultBranchRef.name' 2>/dev/null)
BASE_BRANCH=$(git remote show origin 2>/dev/null | grep "HEAD branch" | cut -d: -f2 | xargs)

If both fail, ask the user.

Step 2: Gather change context

Run all of these and capture the results:

git diff $BASE_BRANCH...HEAD --name-only
git diff $BASE_BRANCH...HEAD --stat
git log $BASE_BRANCH..HEAD --oneline

Step 3: Detect project tooling

Check what's available in the project so you can reference real commands (not generic guesses):

  • Makefile targets: make help 2>/dev/null || grep -E '^[a-z_-]+:.*##' Makefile makefiles/*.mk 2>/dev/null
  • Package manager: Look for pyproject.toml (uv/pip), package.json (npm/pnpm), Cargo.toml (cargo), go.mod (go)
  • Test runners: Look for pytest.ini, pyproject.toml [tool.pytest], jest.config.*, .mocharc.*
  • Project docs: Read AGENTS.md, CLAUDE.md, CONTRIBUTING.md, or README.md for project-specific test/build instructions
  • CI config: Check .github/workflows/, Makefile, or Taskfile.yml for existing test commands

Prefer project Makefile targets and documented commands over raw tool invocations. If the project has make test_unit, use that instead of uv run pytest tests/unit/.

Step 4: Categorize changes and confirm with user

Group changed files into categories. Common categories (adapt based on actual changes):

  • Feature code -- new commands, API routes, services, UI components
  • Configuration / docs -- config files, markdown, schemas, manifests
  • Tests -- new or modified test files
  • Build / deploy -- Makefiles, CI, Dockerfiles, scripts
  • Deletions -- removed files or deprecated code

Present the detected categories to the user with a summary of what changed in each. Ask them to confirm or adjust before generating the full plan.

Example confirmation format:

I found 3 change areas in this branch:

1. CLI agent mode -- new --agent flag on setup command (cli/commands/setup.py, cli/cli.py)
2. Skills restructuring -- SKILL.md rewrite, new reference docs, deleted shell scripts
3. Test fixes -- E2E test stability improvements (4 test files)

Should I generate the test plan for all 3, or would you like to adjust?

Step 5: Generate the test plan

For each confirmed category, generate a test section following these rules:

Severity & importance markers

Tag every test step with one of these emojis in the step title:

EmojiMeaningWhen to use
🔴CriticalCore functionality — if this fails, the feature is broken
🟢ExpectedStandard behavior that should work — moderate confidence but worth verifying
🔵Nice-to-havePolish, UX, non-blocking — skip if short on time

Example: 1a. 🔴 **Pre-register a profile end-to-end**

Formatting rules

  • Numbered sections with separator lines (---) between them
  • Numbered sub-steps within each section (1a, 1b, 1c...)
  • Each sub-step has an emoji tag + bold title describing what to test
  • Each sub-step has a copy-paste command in a fenced code block (or manual UI steps if applicable)
  • Each sub-step has a "Verify:" line stating what success looks like
  • One command per code block -- never stack multiple commands in one block with comments between them
  • Use Makefile targets when available instead of raw tool commands
  • For commands requiring env vars, put them inline: GROVE_API_URL=http://localhost:8000 make test_e2e_suite

What to focus on (and what to skip)

DO include — things you must verify manually:

  • Happy-path user flows end-to-end (the main thing the feature does)
  • Integration points — does component A actually talk to component B correctly?
  • State transitions — does data persist, propagate, and display correctly across the system?
  • Resumption / retry behavior — if a multi-step process fails midway, does retry work?
  • UI rendering — does the new section/field/page show up and look right?
  • API response shape — do new fields appear in real responses?
  • Existing behavior preserved — does the change break anything that was already working?

DO NOT include — leave these for unit tests:

  • Invalid input validation (wrong types, missing fields, malformed data)
  • Boundary values and off-by-one checks
  • Error message wording verification
  • Permission/auth edge cases (401/403 responses)
  • Schema validation failures

Quick smoke test section

Always end with a "Quick Smoke Test" section -- the 2-3 commands a reviewer would run if they only have 60 seconds. Tag each with the appropriate emoji.

Step 6: Write output

  1. Write the plan to TEST_PLAN.md in the repo root
  2. Print a summary to the terminal showing the section count and a one-liner per section

Terminal summary format:

Wrote TEST_PLAN.md with 4 sections:

  1. CLI Agent Mode -- 4 test steps (🔴×2, 🟢×1, 🔵×1)
  2. Skills Restructuring -- 3 test steps (🔴×1, 🟢×2)
  3. Automated Tests -- 2 test steps (🟢×2)
  4. Quick Smoke Test -- 3 commands

Run `cat TEST_PLAN.md` to view the full plan.

Style Reference

Follow the same style used in cmd-pr-description:

  • Bold the what, plain text the how
  • No fluff -- every step must verify something real that a human needs to see
  • Copy-paste ready -- a reviewer should never need to edit a command
  • Separate code blocks -- one command per block, bold header above it

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

33.11%
按下载量换算40

Claude

30.36%
按下载量换算37

Cursor

19.68%
按下载量换算24

Gemini CLI

10.13%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/olshansk/agent-skills --skill cmd-pr-test-plan 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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