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SKILL verified MIT Self-run

Dogfood

skill-atlasomnia-donna-starter-dogfood · by AtlasOmnia

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

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Install

$ agentstack add skill-atlasomnia-donna-starter-dogfood

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Dogfood: Systematic Web Application QA Testing

Overview

This skill guides you through systematic exploratory QA testing of web applications using the browser toolset. You will navigate the application, interact with elements, capture evidence of issues, and produce a structured bug report.

Prerequisites

  • 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)

Workflow

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) ``

  1. Identify the testing scope based on user input.
  2. 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") ``

  1. Take a snapshot to understand the DOM structure:

`` browser_snapshot() ``

  1. 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.

  1. 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.

  1. 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
  1. 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.

  1. Record the details:
  • URL where the issue occurs
  • Steps to reproduce
  • Expected behavior
  • Actual behavior
  • Console errors (if any)
  • Screenshot path
  1. Classify the issue using the issue taxonomy (see):
  • 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: for inline images)
  • Console errors if relevant
  1. Summary table of all issues
  2. 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 |

Tips

  • 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.
  • Access-control checks require the right session. A logged-in moderator/admin browser session can make pages look public when they are not. If the user reports "public users can't see this," do not trust the authenticated view alone.
  • For public-visibility complaints, verify the governing setting instead of inferring from render success. Example: on Reddit wiki pages, a page can render for a mod while incognito users get "This page has been disabled." Check the page's own settings.
  • Reddit-specific pitfall: on a wiki page's Settings tab, Who can edit = Mods only effectively disables the public URL, even if Show in wiki is enabled. Show in wiki only controls listing/navigation, not whether anonymous users can open the page.
  • When reporting screenshots to the user, include MEDIA: so they can see the evidence inline.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.