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Agent Skill · 研究检索

qa-report(质量保证报告)

qa-report 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。

qa-report 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,909。

总安装 1,493周安装 61GitHub Stars 323下载 478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:qa-report(质量保证报告)
来源仓库:https://github.com/pedronauck/skills
仓库路径:skills/qa-report
安装命令:
npx skills add https://github.com/pedronauck/skills --skill qa-report
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/pedronauck/skills --skill qa-report

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。

qa-report 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。它支持基于关键词或任务场景的信息匹配,适用于报告生成前的资料准备。

通过安装命令 npx skills add https://github.com/pedronauck/skills --skill qa-report 添加技能,具体用法可参考仓库中的 SKILL.md。安装前请确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。

qa-report 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/qa-report

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/pedronauck/skills --skill qa-report;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

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

qa-report 怎么安装?

在终端执行 npx skills add https://github.com/pedronauck/skills --skill qa-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qa-report 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。

qa-report 需要什么权限?

权限级别是操作浏览器。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。

qa-report 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。

qa-report 用的人多吗?

公开数据是累计安装 1,493 次,近一周安装 61 次,下载 478 次,GitHub 323 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。

qa-report 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
qa-report

质量保证报告 · 本页

1,493323操作浏览器未明确未通过

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

QA Test Planner

Plan and document QA deliverables — test plans, test cases, regression suites, Figma validations, and bug reports — in a structured format compatible with qa-execution execution.

Required Inputs

  • qa-output-path (optional): Directory where all QA artifacts are stored. When provided, create the directory if it does not exist. When omitted, use the current working directory. This path must match the same argument passed to qa-execution when both skills are used together.

Shared Output Structure

All artifacts follow this directory layout, shared with qa-execution:

<qa-output-path>/qa/
├── test-plans/          # Test plan documents
├── test-cases/          # Individual test case files (TC-*.md)
├── issues/              # Bug reports (BUG-*.md)
├── screenshots/         # Visual evidence and Figma comparisons
└── verification-report.md  # Generated by qa-execution

Procedures

Step 1: Resolve Output Directory

  1. If the user provided a qa-output-path argument, use that path.
  2. Otherwise, default to the current working directory.
  3. Create the qa/ subdirectory under the resolved path, then create qa/test-plans/, qa/test-cases/, qa/issues/, and qa/screenshots/ if they do not exist.

Step 2: Identify the Deliverable Type

Parse the user request to determine which deliverable to generate:

Request PatternDeliverableOutput Path
"Create test plan for..."Test Plantest-plans/
"Generate test cases for..."Test Casestest-cases/
"Build regression suite..."Regression Suitetest-plans/
"Compare with Figma..."Figma Validationtest-cases/ (TC-UI-*)
"Document bug..."Bug Reportissues/

Step 3: Generate Test Plans

  1. Read references/test_case_templates.md for the test plan structure.
  2. Generate a test plan document with these mandatory sections:

- Executive summary with objectives and key risks. - Scope definition (in-scope and out-of-scope). - Test strategy and approach. - Automation strategy covering which flows should become E2E, which remain manual-only, and which are blocked by environment gaps. - Environment requirements (OS, browsers, devices). - Entry criteria (what must be true before testing begins). - Exit criteria (what must be true before testing ends, including pass-rate thresholds and automation follow-up expectations for critical flows). - Risk assessment table (Risk, Probability, Impact, Mitigation). - Timeline and deliverables.

  1. Write the plan to <qa-output-path>/qa/test-plans/<feature-slug>-test-plan.md.

Step 4: Generate Test Cases

  1. Read references/test_case_templates.md to select the appropriate template variant (Functional, UI, Integration, Regression, Security, Performance).
  2. Assign each test case an ID following the naming scheme: Type Prefix Example Functional TC-FUNC- TC-FUNC-001 UI/Visual TC-UI- TC-UI-045 Integration TC-INT- TC-INT-012 Regression TC-REG- TC-REG-089 Security TC-SEC- TC-SEC-005 Performance TC-PERF- TC-PERF-023 Smoke SMOKE- SMOKE-001
  3. Each test case must include:

- Priority: P0 (Critical) | P1 (High) | P2 (Medium) | P3 (Low). - Objective: What is being validated and why. - Preconditions: Setup requirements and test data. - Test Steps: Numbered actions with an **Expected:** result for each. - Edge Cases: Boundary values, null inputs, special characters. - Automation Target: E2E, Integration, or Manual-only. - Automation Status: Existing, Missing, Blocked, or N/A. - Automation Command/Spec: Existing spec path or command when known. - Automation Notes: Why the case should be automated, remain manual, or is blocked.

  1. Write each test case to <qa-output-path>/qa/test-cases/<TC-ID>.md.
  2. When generating test cases interactively, execute scripts/generate_test_cases.sh <qa-output-path>/test-cases.

Step 5: Build Regression Suites

  1. Read references/regression_testing.md for suite structure and execution strategy.
  2. Classify tests into tiers: Suite Duration Frequency Coverage Smoke 15-30 min Daily/per-build Critical paths only Targeted 30-60 min Per change Affected areas Full 2-4 hours Weekly/Release Comprehensive Sanity 10-15 min After hotfix Quick validation
  3. Prioritize test cases using the shared priority scale:

- P0: Business-critical, security, revenue-impacting — must run always. - P1: Major features, common flows — run weekly or more. - P2: Minor features, edge cases — run at releases.

  1. Mark automation candidates explicitly:

- Tag changed or regression-critical P0 and P1 public flows as Automation Target: E2E when the repository already has an E2E harness. - Tag bug-driven public regressions as Automation Status: Missing until qa-execution confirms the spec was added or updated. - Tag exploratory, visual-judgment, or unsupported flows as Manual-only or Blocked with a reason.

  1. Define execution order: Smoke first (if fails, stop) → P0 → P1 → P2 → Exploratory.
  2. Define pass/fail criteria:

- PASS: All P0 pass, 90%+ P1 pass, no critical bugs open. - FAIL: Any P0 fails, critical bug discovered, security vulnerability, data loss. - CONDITIONAL: P1 failures with documented workarounds, fix plan in place.

  1. Write the suite document to <qa-output-path>/qa/test-plans/<suite-name>-regression.md.

Step 6: Validate Against Figma Designs

Skip this step if Figma MCP is not configured.

  1. Read references/figma_validation.md for the validation workflow.
  2. Extract design specifications from Figma using MCP queries:

- Dimensions (width, height). - Colors (background, text, border — exact hex values). - Typography (font family, size, weight, line-height, color). - Spacing (padding, margin). - Border radius, shadows. - Interactive states (default, hover, active, focus, disabled).

  1. Generate UI test cases (TC-UI-*) that compare each property against the implementation.
  2. Test responsive behavior at these standard viewports:

- Mobile: 375px. - Tablet: 768px. - Desktop: 1280px.

  1. When validation reveals discrepancies, generate a bug report following Step 7.
  2. Use agent-browser (from the qa-execution companion skill) when browser-based verification is needed. The core loop is: open → snapshot → interact → re-snapshot → verify.

Step 7: Create Bug Reports

  1. Use the unified bug report format from assets/issue-template.md, shared with qa-execution.
  2. Assign a bug ID with the BUG- prefix (e.g., BUG-001).
  3. Every bug report must include:

- Severity: Critical | High | Medium | Low. - Priority: P0 | P1 | P2 | P3. - Environment: Build, OS, Browser, URL. - Reproduction: Exact steps to reproduce. - Expected vs Actual: Clear descriptions. - Impact: Users affected, frequency, workaround. - Related: TC-ID if discovered during test case execution, Figma URL if UI bug.

  1. Write each bug report to <qa-output-path>/qa/issues/<BUG-ID>.md.
  2. When creating bug reports interactively, execute scripts/create_bug_report.sh <qa-output-path>/issues.

Step 8: Validate Completeness

  1. Verify all generated test cases have an expected result for each step.
  2. Verify all bug reports have reproducible steps.
  3. Verify traceability: test cases reference requirements, bugs reference test cases.
  4. Verify every planned critical flow has an explicit automation annotation and that Missing or Blocked states include a reason.
  5. Cross-reference against ../qa-execution/references/checklist.md for coverage gaps when planning for later execution.

Severity Definitions

LevelCriteriaExamples
CriticalSystem crash, data loss, security breachPayment fails, login broken
HighMajor feature broken, no workaroundSearch not working, checkout fails
MediumFeature partial, workaround existsFilter missing option, slow load
LowCosmetic, rare edge caseTypo, minor alignment

Priority vs Severity Matrix

Low ImpactMediumHighCritical
RareP3P3P2P1
SometimesP3P2P1P0
OftenP2P1P0P0
AlwaysP2P1P0P0

Companion Skill: qa-execution

The qa-report and qa-execution skills share a common output directory and artifact format. The intended workflow:

  1. Plan first with qa-report: generate test plans, test cases, and regression suites.
  2. Execute with qa-execution: run verification gates, exercise flows end-to-end, discover bugs, and add or update E2E coverage when the repository already supports it.
  3. Document with qa-report: create structured bug reports for issues found during execution.

When qa-execution runs after qa-report, it reads test cases from <qa-output-path>/qa/test-cases/ to inform its execution matrix, automation priorities, and reporting fields, then writes bugs to <qa-output-path>/qa/issues/ using the same unified template.

Error Handling

  • If the qa-output-path directory cannot be created, report the error and fall back to the current working directory.
  • If Figma MCP is not configured, skip Figma validation steps and note the gap in the test plan.
  • If agent-browser is not available for UI validation, generate test cases as documentation for manual execution and note the limitation.
  • If the repository does not have a known E2E harness, mark affected cases as Manual-only or Blocked instead of inventing automation commands.
  • If the user provides a feature description that is too vague to generate test cases, ask for specific requirements, user flows, or acceptance criteria before proceeding.

平台分布

Codex

37.2%
按下载量换算178

Claude

27.1%
按下载量换算130

Cursor

18.25%
按下载量换算87

Gemini CLI

10.07%
按下载量换算48

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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