dogfood
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Best use case
dogfood is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "dogfood" skill to help with this workflow task. Context: Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dogfood/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dogfood Compares
| Feature / Agent | dogfood | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Dogfood
Systematically explore a web application, find issues, and produce a report with full reproduction evidence for every finding.
## Setup
Only the **Target URL** is required. Everything else has sensible defaults -- use them unless the user explicitly provides an override.
| Parameter | Default | Example override |
|-----------|---------|-----------------|
| **Target URL** | _(required)_ | `vercel.com`, `http://localhost:3000` |
| **Session name** | Slugified domain (e.g., `vercel.com` -> `vercel-com`) | `--session my-session` |
| **Output directory** | `./dogfood-output/` | `Output directory: /tmp/qa` |
| **Scope** | Full app | `Focus on the billing page` |
| **Authentication** | None | `Sign in to user@example.com` |
If the user says something like "dogfood vercel.com", start immediately with defaults. Do not ask clarifying questions unless authentication is mentioned but credentials are missing.
Always use `agent-browser` directly -- never `npx agent-browser`. The direct binary uses the fast Rust client. `npx` routes through Node.js and is significantly slower.
## Workflow
```
1. Initialize Set up session, output dirs, report file
2. Authenticate Sign in if needed, save state
3. Orient Navigate to starting point, take initial snapshot
4. Explore Systematically visit pages and test features
5. Document Screenshot + record each issue as found
6. Wrap up Update summary counts, close session
```
### 1. Initialize
```bash
mkdir -p {OUTPUT_DIR}/screenshots {OUTPUT_DIR}/videos
```
Copy the report template into the output directory and fill in the header fields:
```bash
cp {SKILL_DIR}/templates/dogfood-report-template.md {OUTPUT_DIR}/report.md
```
Start a named session:
```bash
agent-browser --session {SESSION} open {TARGET_URL}
agent-browser --session {SESSION} wait --load networkidle
```
### 2. Authenticate
If the app requires login:
```bash
agent-browser --session {SESSION} snapshot -i
# Identify login form refs, fill credentials
agent-browser --session {SESSION} fill @e1 "{EMAIL}"
agent-browser --session {SESSION} fill @e2 "{PASSWORD}"
agent-browser --session {SESSION} click @e3
agent-browser --session {SESSION} wait --load networkidle
```
For OTP/email codes: ask the user, wait for their response, then enter the code.
After successful login, save state for potential reuse:
```bash
agent-browser --session {SESSION} state save {OUTPUT_DIR}/auth-state.json
```
### 3. Orient
Take an initial annotated screenshot and snapshot to understand the app structure:
```bash
agent-browser --session {SESSION} screenshot --annotate {OUTPUT_DIR}/screenshots/initial.png
agent-browser --session {SESSION} snapshot -i
```
Identify the main navigation elements and map out the sections to visit.
### 4. Explore
Read [references/issue-taxonomy.md](references/issue-taxonomy.md) for the full list of what to look for and the exploration checklist.
**Strategy -- work through the app systematically:**
- Start from the main navigation. Visit each top-level section.
- Within each section, test interactive elements: click buttons, fill forms, open dropdowns/modals.
- Check edge cases: empty states, error handling, boundary inputs.
- Try realistic end-to-end workflows (create, edit, delete flows).
- Check the browser console for errors periodically.
**At each page:**
```bash
agent-browser --session {SESSION} snapshot -i
agent-browser --session {SESSION} screenshot --annotate {OUTPUT_DIR}/screenshots/{page-name}.png
agent-browser --session {SESSION} errors
agent-browser --session {SESSION} console
```
Use your judgment on how deep to go. Spend more time on core features and less on peripheral pages. If you find a cluster of issues in one area, investigate deeper.
### 5. Document Issues (Repro-First)
Steps 4 and 5 happen together -- explore and document in a single pass. When you find an issue, stop exploring and document it immediately before moving on. Do not explore the whole app first and document later.
Every issue must be reproducible. When you find something wrong, do not just note it -- prove it with evidence. The goal is that someone reading the report can see exactly what happened and replay it.
**Choose the right level of evidence for the issue:**
#### Interactive / behavioral issues (functional, ux, console errors on action)
These require user interaction to reproduce -- use full repro with video and step-by-step screenshots:
1. **Start a repro video** _before_ reproducing:
```bash
agent-browser --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.webm
```
2. **Walk through the steps at human pace.** Pause 1-2 seconds between actions so the video is watchable. Take a screenshot at each step:
```bash
agent-browser --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-1.png
sleep 1
# Perform action (click, fill, etc.)
sleep 1
agent-browser --session {SESSION} screenshot {OUTPUT_DIR}/screenshots/issue-{NNN}-step-2.png
sleep 1
# ...continue until the issue manifests
```
3. **Capture the broken state.** Pause so the viewer can see it, then take an annotated screenshot:
```bash
sleep 2
agent-browser --session {SESSION} screenshot --annotate {OUTPUT_DIR}/screenshots/issue-{NNN}-result.png
```
4. **Stop the video:**
```bash
agent-browser --session {SESSION} record stop
```
5. Write numbered repro steps in the report, each referencing its screenshot.
#### Static / visible-on-load issues (typos, placeholder text, clipped text, misalignment, console errors on load)
These are visible without interaction -- a single annotated screenshot is sufficient. No video, no multi-step repro:
```bash
agent-browser --session {SESSION} screenshot --annotate {OUTPUT_DIR}/screenshots/issue-{NNN}.png
```
Write a brief description and reference the screenshot in the report. Set **Repro Video** to `N/A`.
---
**For all issues:**
1. **Append to the report immediately.** Do not batch issues for later. Write each one as you find it so nothing is lost if the session is interrupted.
2. **Increment the issue counter** (ISSUE-001, ISSUE-002, ...).
### 6. Wrap Up
Aim to find **5-10 well-documented issues**, then wrap up. Depth of evidence matters more than total count -- 5 issues with full repro beats 20 with vague descriptions.
After exploring:
1. Re-read the report and update the summary severity counts so they match the actual issues. Every `### ISSUE-` block must be reflected in the totals.
2. Close the session:
```bash
agent-browser --session {SESSION} close
```
3. Tell the user the report is ready and summarize findings: total issues, breakdown by severity, and the most critical items.
## Guidance
- **Repro is everything.** Every issue needs proof -- but match the evidence to the issue. Interactive bugs need video and step-by-step screenshots. Static bugs (typos, placeholder text, visual glitches visible on load) only need a single annotated screenshot.
- **Verify reproducibility before collecting evidence.** Before recording video or taking screenshots, verify the issue is reproducible with at least one retry. If it can't be reproduced consistently, it's not a valid issue.
- **Don't record video for static issues.** A typo or clipped text doesn't benefit from a video. Save video for issues that involve user interaction, timing, or state changes.
- **For interactive issues, screenshot each step.** Capture the before, the action, and the after -- so someone can see the full sequence.
- **Write repro steps that map to screenshots.** Each numbered step in the report should reference its corresponding screenshot. A reader should be able to follow the steps visually without touching a browser.
- **Use the right snapshot command.**
- `snapshot -i` — for finding clickable/fillable elements (buttons, inputs, links)
- `snapshot` (no flag) — for reading page content (text, headings, data lists)
- **Be thorough but use judgment.** You are not following a test script -- you are exploring like a real user would. If something feels off, investigate.
- **Write findings incrementally.** Append each issue to the report as you discover it. If the session is interrupted, findings are preserved. Never batch all issues for the end.
- **Never delete output files.** Do not `rm` screenshots, videos, or the report mid-session. Do not close the session and restart. Work forward, not backward.
- **Never read the target app's source code.** You are testing as a user, not auditing code. Do not read HTML, JS, or config files of the app under test. All findings must come from what you observe in the browser.
- **Check the console.** Many issues are invisible in the UI but show up as JS errors or failed requests.
- **Test like a user, not a robot.** Try common workflows end-to-end. Click things a real user would click. Enter realistic data.
- **Type like a human.** When filling form fields during video recording, use `type` instead of `fill` -- it types character-by-character. Use `fill` only outside of video recording when speed matters.
- **Pace repro videos for humans.** Add `sleep 1` between actions and `sleep 2` before the final result screenshot. Videos should be watchable at 1x speed -- a human reviewing the report needs to see what happened, not a blur of instant state changes.
- **Be efficient with commands.** Batch multiple `agent-browser` commands in a single shell call when they are independent (e.g., `agent-browser ... screenshot ... && agent-browser ... console`). Use `agent-browser --session {SESSION} scroll down 300` for scrolling -- do not use `key` or `evaluate` to scroll.
## References
| Reference | When to Read |
|-----------|--------------|
| [references/issue-taxonomy.md](references/issue-taxonomy.md) | Start of session -- calibrate what to look for, severity levels, exploration checklist |
## Templates
| Template | Purpose |
|----------|---------|
| [templates/dogfood-report-template.md](templates/dogfood-report-template.md) | Copy into output directory as the report file |Related Skills
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