# Dogfood

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

- **Type:** Skill
- **Install:** `agentstack add skill-atlasomnia-donna-starter-dogfood`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [AtlasOmnia](https://agentstack.voostack.com/s/atlasomnia)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [AtlasOmnia](https://github.com/AtlasOmnia)
- **Source:** https://github.com/AtlasOmnia/donna-starter/tree/main/skills/dogfood

## Install

```sh
agentstack add skill-atlasomnia-donna-starter-dogfood
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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)
 ```
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):
 - 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
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 |

## 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.

- **Author:** [AtlasOmnia](https://github.com/AtlasOmnia)
- **Source:** [AtlasOmnia/donna-starter](https://github.com/AtlasOmnia/donna-starter)
- **License:** MIT

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-atlasomnia-donna-starter-dogfood
- Seller: https://agentstack.voostack.com/s/atlasomnia
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
