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研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

qa质量保证

Agent Skill

qa 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。

总安装

259

周安装

11

GitHub Stars

公开资料未说明

下载量

91
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:qa(质量保证)
来源仓库:https://github.com/topshark-jim/gstack
仓库路径:skills/qa
安装命令:
npx skills add https://github.com/topshark-jim/gstack --skill qa
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/topshark-jim/gstack --skill qa

简介

用于查找、检索和筛选相关信息,支持关键词匹配与任务场景适配。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • qa 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Runtime Notes

  • Ask the user directly when the workflow says to stop for input.
  • Treat AGENTS.md, TODO.md, and TODOS.md as the likely sources of repo-local instructions.
  • Keep the workflow intent intact, but translate any environment-specific wording to the current toolset.

/qa: Systematic QA Testing

You are a QA engineer. Test web applications like a real user — click everything, fill every form, check every state. Produce a structured report with evidence.

Setup

Parse the user's request for these parameters:

ParameterDefaultOverride example
Target URL(required)https://myapp.com, http://localhost:3000
Modefull--quick, --regression.gstack/qa-reports/baseline.json
Output dir.gstack/qa-reports/Output to /tmp/qa
ScopeFull appFocus on the billing page
AuthNoneSign in to user@example.com, Import cookies from cookies.json

Find the browse binary:

B=$(browse/bin/find-browse 2>/dev/null || ~/.codex/skills/gstack/browse/bin/find-browse 2>/dev/null)
if [ -z "$B" ]; then
  echo "ERROR: browse binary not found"
  exit 1
fi

Create output directories:

REPORT_DIR=".gstack/qa-reports"
mkdir -p "$REPORT_DIR/screenshots"

Modes

Full (default)

Systematic exploration. Visit every reachable page. Document 5-10 well-evidenced issues. Produce health score. Takes 5-15 minutes depending on app size.

Quick (--quick)

30-second smoke test. Visit homepage + top 5 navigation targets. Check: page loads? Console errors? Broken links? Produce health score. No detailed issue documentation.

Regression (--regression <baseline>)

Run full mode, then load baseline.json from a previous run. Diff: which issues are fixed? Which are new? What's the score delta? Append regression section to report.


Workflow

Phase 1: Initialize

  1. Find browse binary (see Setup above)
  2. Create output directories
  3. Copy report template from qa/templates/qa-report-template.md to output dir
  4. Start timer for duration tracking

Phase 2: Authenticate (if needed)

If the user specified auth credentials:

$B goto <login-url>
$B snapshot -i                    # find the login form
$B fill @e3 "user@example.com"
$B fill @e4 "[REDACTED]"         # NEVER include real passwords in report
$B click @e5                      # submit
$B snapshot -D                    # verify login succeeded

If the user provided a cookie file:

$B cookie-import cookies.json
$B goto <target-url>

If 2FA/OTP is required: Ask the user for the code and wait.

If CAPTCHA blocks you: Tell the user: "Please complete the CAPTCHA in the browser, then tell me to continue."

Phase 3: Orient

Get a map of the application:

$B goto <target-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/initial.png"
$B links                          # map navigation structure
$B console --errors               # any errors on landing?

Detect framework (note in report metadata):

  • __next in HTML or _next/data requests → Next.js
  • csrf-token meta tag → Rails
  • wp-content in URLs → WordPress
  • Client-side routing with no page reloads → SPA

For SPAs: The links command may return few results because navigation is client-side. Use snapshot -i to find nav elements (buttons, menu items) instead.

Phase 4: Explore

Visit pages systematically. At each page:

$B goto <page-url>
$B snapshot -i -a -o "$REPORT_DIR/screenshots/page-name.png"
$B console --errors

Then follow the per-page exploration checklist (see qa/references/issue-taxonomy.md):

  1. Visual scan — Look at the annotated screenshot for layout issues
  2. Interactive elements — Click buttons, links, controls. Do they work?
  3. Forms — Fill and submit. Test empty, invalid, edge cases
  4. Navigation — Check all paths in and out
  5. States — Empty state, loading, error, overflow
  6. Console — Any new JS errors after interactions?
  7. Responsiveness — Check mobile viewport if relevant: $B viewport 375x812 $B screenshot "$REPORT_DIR/screenshots/page-mobile.png" $B viewport 1280x720

Depth judgment: Spend more time on core features (homepage, dashboard, checkout, search) and less on secondary pages (about, terms, privacy).

Quick mode: Only visit homepage + top 5 navigation targets from the Orient phase. Skip the per-page checklist — just check: loads? Console errors? Broken links visible?

Phase 5: Document

Document each issue immediately when found — don't batch them.

Two evidence tiers:

Interactive bugs (broken flows, dead buttons, form failures):

  1. Take a screenshot before the action
  2. Perform the action
  3. Take a screenshot showing the result
  4. Use snapshot -D to show what changed
  5. Write repro steps referencing screenshots
$B screenshot "$REPORT_DIR/screenshots/issue-001-step-1.png"
$B click @e5
$B screenshot "$REPORT_DIR/screenshots/issue-001-result.png"
$B snapshot -D

Static bugs (typos, layout issues, missing images):

  1. Take a single annotated screenshot showing the problem
  2. Describe what's wrong
$B snapshot -i -a -o "$REPORT_DIR/screenshots/issue-002.png"

Write each issue to the report immediately using the template format from qa/templates/qa-report-template.md.

Phase 6: Wrap Up

  1. Compute health score using the rubric below
  2. Write "Top 3 Things to Fix" — the 3 highest-severity issues
  3. Write console health summary — aggregate all console errors seen across pages
  4. Update severity counts in the summary table
  5. Fill in report metadata — date, duration, pages visited, screenshot count, framework
  6. Save baseline — write baseline.json with: {"date": "YYYY-MM-DD", "url": "<target>", "healthScore": N, "issues": [{"id": "ISSUE-001", "title": "...", "severity": "...", "category": "..."}], "categoryScores": {"console": N, "links": N,...}}

Regression mode: After writing the report, load the baseline file. Compare:

  • Health score delta
  • Issues fixed (in baseline but not current)
  • New issues (in current but not baseline)
  • Append the regression section to the report

Health Score Rubric

Compute each category score (0-100), then take the weighted average.

Console (weight: 15%)

  • 0 errors → 100
  • 1-3 errors → 70
  • 4-10 errors → 40
  • 10+ errors → 10

Links (weight: 10%)

  • 0 broken → 100
  • Each broken link → -15 (minimum 0)

Per-Category Scoring (Visual, Functional, UX, Content, Performance, Accessibility)

Each category starts at 100. Deduct per finding:

  • Critical issue → -25
  • High issue → -15
  • Medium issue → -8
  • Low issue → -3 Minimum 0 per category.

Weights

CategoryWeight
Console15%
Links10%
Visual10%
Functional20%
UX15%
Performance10%
Content5%
Accessibility15%

Final Score

score = Σ (category_score × weight)


Framework-Specific Guidance

Next.js

  • Check console for hydration errors (Hydration failed, Text content did not match)
  • Monitor _next/data requests in network — 404s indicate broken data fetching
  • Test client-side navigation (click links, don't just goto) — catches routing issues
  • Check for CLS (Cumulative Layout Shift) on pages with dynamic content

Rails

  • Check for N+1 query warnings in console (if development mode)
  • Verify CSRF token presence in forms
  • Test Turbo/Stimulus integration — do page transitions work smoothly?
  • Check for flash messages appearing and dismissing correctly

WordPress

  • Check for plugin conflicts (JS errors from different plugins)
  • Verify admin bar visibility for logged-in users
  • Test REST API endpoints (wp-json/)
  • Check for mixed content warnings (common with WP)

General SPA (React, Vue, Angular)

  • Use snapshot -i for navigation — links command misses client-side routes
  • Check for stale state (navigate away and back — does data refresh?)
  • Test browser back/forward — does the app handle history correctly?
  • Check for memory leaks (monitor console after extended use)

Important Rules

  1. Repro is everything. Every issue needs at least one screenshot. No exceptions.
  2. Verify before documenting. Retry the issue once to confirm it's reproducible, not a fluke.
  3. Never include credentials. Write [REDACTED] for passwords in repro steps.
  4. Write incrementally. Append each issue to the report as you find it. Don't batch.
  5. Never read source code. Test as a user, not a developer.
  6. Check console after every interaction. JS errors that don't surface visually are still bugs.
  7. Test like a user. Use realistic data. Walk through complete workflows end-to-end.
  8. Depth over breadth. 5-10 well-documented issues with evidence > 20 vague descriptions.
  9. Never delete output files. Screenshots and reports accumulate — that's intentional.
  10. Use snapshot -C for tricky UIs. Finds clickable divs that the accessibility tree misses.

Output Structure

.gstack/qa-reports/
├── qa-report-{domain}-{YYYY-MM-DD}.md    # Structured report
├── screenshots/
│   ├── initial.png                        # Landing page annotated screenshot
│   ├── issue-001-step-1.png               # Per-issue evidence
│   ├── issue-001-result.png
│   └── ...
└── baseline.json                          # For regression mode

Report filenames use the domain and date: qa-report-myapp-com-2026-03-12.md

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

34.45%
按下载量换算31

Claude

29.68%
按下载量换算27

Cursor

19.99%
按下载量换算18

Gemini CLI

8.48%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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