
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.
- Installs
- 39
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/petekp/claude-code-setup --skill dogfood- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads dogfood automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
mkdir -p {OUTPUT_DIR}/screenshots {OUTPUT_DIR}/videos
Copy the report template into the output directory and fill in the header fields:
cp {SKILL_DIR}/templates/dogfood-report-template.md {OUTPUT_DIR}/report.md
Start a named session:
agent-browser --session {SESSION} open {TARGET_URL}
agent-browser --session {SESSION} wait --load networkidle
2. Authenticate
If the app requires login:
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:
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:
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 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:
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:
- Start a repro video before reproducing:
agent-browser --session {SESSION} record start {OUTPUT_DIR}/videos/issue-{NNN}-repro.webm
- Walk through the steps at human pace. Pause 1-2 seconds between actions so the video is watchable. Take a screenshot at each step:
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
- Capture the broken state. Pause so the viewer can see it, then take an annotated screenshot:
sleep 2
agent-browser --session {SESSION} screenshot --annotate {OUTPUT_DIR}/screenshots/issue-{NNN}-result.png
- Stop the video:
agent-browser --session {SESSION} record stop
- 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:
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:
-
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.
-
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:
- 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. - Close the session:
agent-browser --session {SESSION} close
- 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
rmscreenshots, 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
typeinstead offill-- it types character-by-character. Usefillonly outside of video recording when speed matters. - Pace repro videos for humans. Add
sleep 1between actions andsleep 2before 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-browsercommands in a single shell call when they are independent (e.g.,agent-browser ... screenshot ... && agent-browser ... console). Useagent-browser --session {SESSION} scroll down 300for scrolling -- do not usekeyorevaluateto scroll.
References
| Reference | When to Read |
|---|---|
| references/issue-taxonomy.md | Start of session -- calibrate what to look for, severity levels, exploration checklist |
Templates
| Template | Purpose |
|---|---|
| templates/dogfood-report-template.md | Copy into output directory as the report file |
FAQ
What does the dogfood 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.
How do I install dogfood?
Run npx skills add https://github.com/petekp/claude-code-setup --skill dogfood in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dogfood/ (personal) or .claude/skills/dogfood/ (project).
Which AI agents can use dogfood?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is dogfood safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains dogfood?
It is published by petekp in petekp/claude-code-setup. It has 39 recorded installs.
More from petekp/claude-code-setup
code-comments
petekp/claude-code-setup
Write, review, or remove code comments. Use when adding comments or doc comments, reviewing the comments in a diff, or cleaning up or removing comments.
deep-research
petekp/claude-code-setup
Investigate a question that requires sustained research across sources and produce cited findings. Use for deep research requests; skip ordinary lookups and single-document reviews.
exhaustive-systems-analysis
petekp/claude-code-setup
Perform evidence-driven, multi-subsystem audits of real codebases to find correctness bugs, race conditions, security gaps, stale documentation, dead code, and production-readiness risks. Use when asked to audit a system end-to-end, verify agent-written code before shipping, analyze a subsystem for correctness across multiple modules, or produce a structured risk report for a real implementation. Prefer other skills for a single isolated bug, a proposal or document review, or a dedicated dead-code cleanup.
typography
petekp/claude-code-setup
Apply professional typography principles to create readable, hierarchical, and aesthetically refined interfaces. Use when setting type scales, choosing fonts, adjusting spacing, designing text-heavy layouts, implementing dark mode typography, or when asked about readability, font pairing, line height, measure, typographic hierarchy, variable fonts, font loading, or OpenType features.
claude-code-audit
petekp/claude-code-setup
Forensic audit of the user's recent Claude Code sessions to surface step-change workflow improvements — not marginal ones. Use when the user asks to "audit my Claude Code sessions", "analyze how I use Claude Code", "find patterns in my usage", "improve my Claude Code workflow", "review my sessions", "find leverage in my setup", or wants to understand where their Claude Code setup is leaking time. Samples dozens of real transcripts, extracts quantitative signal via scripts, uses parallel subagents for deep reads, then synthesizes into a short prioritized report with drafted implementations (new skills, CLAUDE.md rules, hooks, settings diffs) that the user can install directly. Trigger even when the user doesn't say the word "audit" — if they're asking about improving or reviewing their Claude Code habits at scale, use this skill.
literate-guide
petekp/claude-code-setup
Create a narrative guide to a codebase or feature in the style of Knuth's Literate Programming — code and prose interwoven as a single essay, ordered for human understanding rather than compiler needs. Use when the user asks to 'explain this codebase as a story', 'write a literate guide', 'create a narrative walkthrough', 'tell the story of this code', 'Knuth-style documentation', 'weave a guide for this feature', or when they want deep, readable documentation that treats the program as literature. Also trigger when someone wants a document that a thoughtful reader could follow from start to finish and come away understanding both WHAT the code does and WHY every design choice was made.
Popular testing & qa skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
grilling
mattpocock/skills
Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
migrate-to-shoehorn
mattpocock/skills
Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.
run-train
lllllllama/rigorpilot-skills
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.
test-driven-development
obra/superpowers
Use when implementing any feature or bugfix, before writing implementation code
finishing-a-development-branch
obra/superpowers
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work