Dogfood 测试

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Dogfood

Exploratory QA of web apps: find bugs, evidence, reports.

技能元数据

Source	Bundled (installed by default)
Path	skills/dogfood
Version	1.0.0
Platforms	linux, macos, windows
Tags	qa, testing, browser, web, dogfood

参考：完整 SKILL.md

:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::

Dogfood: Systematic Web Application QA Testing

概述

本技能指导您使用浏览器工具集对 Web 应用进行系统性的探索性 QA 测试。您将导航应用、与元素交互、捕获问题证据并生成结构化的 Bug 报告。

前置条件

• Browser toolset must be available (browser_navigate, browser_snapshot, browser_click, browser_type, browser_vision, browser_console, browser_scroll, browser_back, browser_press)
• A target URL and testing scope from the user

Inputs

The user provides:

1. Target URL — the entry point for testing
2. Scope — what areas/features to focus on (or “full site” for comprehensive testing)
3. Output directory (optional) — where to save screenshots and the report (default: ./dogfood-output)

工作流程

Follow this 5-phase systematic workflow:

Phase 1: Plan

1. Create the output directory structure:

{output_dir}/
├── screenshots/       # Evidence screenshots
└── report.md          # Final report (generated in Phase 5)

2. Identify the testing scope based on user input.
3. Build a rough sitemap by planning which pages and features to test:
   • Landing/home page
   • Navigation links (header, footer, sidebar)
   • Key user flows (sign up, login, search, checkout, etc.)
   • Forms and interactive elements
   • Edge cases (empty states, error pages, 404s)

Phase 2: Explore

For each page or feature in your plan:

1. Navigate to the page:

   browser_navigate(url="https://example.com/page")
   

2. Take a snapshot to understand the DOM structure:

   browser_snapshot()
   

3. Check the console for JavaScript errors:

   browser_console(clear=true)
   

   Do this after every navigation and after every significant interaction. Silent JS errors are high-value findings.

4. Take an annotated screenshot to visually assess the page and identify interactive elements:

   browser_vision(question="Describe the page layout, identify any visual issues, broken elements, or accessibility concerns", annotate=true)
   

   The annotate=true flag overlays numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands.

5. Test interactive elements systematically:

   • Click buttons and links: browser_click(ref="@eN")
   • Fill forms: browser_type(ref="@eN", text="test input")
   • Test keyboard navigation: browser_press(key="Tab"), browser_press(key="Enter")
   • Scroll through content: browser_scroll(direction="down")
   • Test form validation with invalid inputs
   • Test empty submissions

6. After each interaction, check for:

   • Console errors: browser_console()
   • Visual changes: browser_vision(question="What changed after the interaction?")
   • Expected vs actual behavior

Phase 3: Collect Evidence

For every issue found:

1. Take a screenshot showing the issue:

   browser_vision(question="Capture and describe the issue visible on this page", annotate=false)
   

   Save the screenshot_path from the response — you will reference it in the report.

2. Record the details:

   • URL where the issue occurs
   • Steps to reproduce
   • Expected behavior
   • Actual behavior
   • Console errors (if any)
   • Screenshot path

3. Classify the issue using the issue taxonomy (see references/issue-taxonomy.md):

   • Severity: Critical / High / Medium / Low
   • Category: Functional / Visual / Accessibility / Console / UX / Content

Phase 4: Categorize

1. Review all collected issues.
2. De-duplicate — merge issues that are the same bug manifesting in different places.
3. Assign final severity and category to each issue.
4. Sort by severity (Critical first, then High, Medium, Low).
5. Count issues by severity and category for the executive summary.

Phase 5: Report

Generate the final report using the template at templates/dogfood-report-template.md.

The report must include:

1. Executive summary with total issue count, breakdown by severity, and testing scope
2. Per-issue sections with:
   • Issue number and title
   • Severity and category badges
   • URL where observed
   • Description of the issue
   • Steps to reproduce
   • Expected vs actual behavior
   • Screenshot references (use MEDIA:<screenshot_path> for inline images)
   • Console errors if relevant
3. Summary table of all issues
4. Testing notes — what was tested, what was not, any blockers

Save the report to {output_dir}/report.md.

Tools Reference

Tool	Purpose
browser_navigate	Go to a URL
browser_snapshot	Get DOM text snapshot (accessibility tree)
browser_click	Click an element by ref (@eN) or text
browser_type	Type into an input field
browser_scroll	Scroll up/down on the page
browser_back	Go back in browser history
browser_press	Press a keyboard key
browser_vision	Screenshot + AI analysis; use annotate=true for element labels
browser_console	Get JS console output and errors

提示

• Always check browser_console() after navigating and after significant interactions. Silent JS errors are among the most valuable findings.
• Use annotate=true with browser_vision when you need to reason about interactive element positions or when the snapshot refs are unclear.
• Test with both valid and invalid inputs — form validation bugs are common.
• Scroll through long pages — content below the fold may have rendering issues.
• Test navigation flows — click through multi-step processes end-to-end.
• Check responsive behavior by noting any layout issues visible in screenshots.
• Don’t forget edge cases: empty states, very long text, special characters, rapid clicking.
• When reporting screenshots to the user, include MEDIA:<screenshot_path> so they can see the evidence inline.