dogfood · nousresearch — Claude Code skill: web app QA with bug reports
A skill for exploratory QA of a web app: it walks the pages, captures console errors and screenshots, then writes a bug report.
npx skills add NousResearch/hermes-agent --skill dogfood -a claude-codeWhat dogfood does
The skill runs an agent through five phases: plan, explore, collect evidence, sort, report. Give it a target entry point, a scope and an output directory (default ./dogfood-output). Inside you get screenshots/ and report.md. Scope can be narrowed to specific flows such as login or checkout.
All of it goes through the browser toolset, more precisely browser_exec: Python with helpers already imported (new_tab, goto_url, wait_for_load, page_info, js, fill_input, click_at_xy, capture_screenshot, cdp). Browser state survives between calls; Python variables do not, so each step gets batched into a single call. A hook on console.error and unhandledrejection is registered before navigation, because errors thrown during page load are exactly the ones you would otherwise lose.
Silent JS errors count as high-value findings here. Later phases file each bug by severity (Critical, High, Medium, Low) and category (Functional, Visual, Accessibility, Console, UX, Content) from references/issue-taxonomy.md, and the report follows templates/dogfood-report-template.md. The browser toolset has to be enabled, so check that before you start. Worth installing when you want a browsed bug report before a release; skip it if unit tests already cover what you need.
What it helps with
- walk a site page by page and catch console errors
- test a signup form with empty and invalid input
- capture screenshots of broken layout as evidence
- sort the bugs found by severity and category
- hand a developer a report with reproduction steps
Example prompts for the agent
- Run dogfood over my site, scope is login and checkout
- Check keyboard navigation on the pricing page and attach screenshots
- Write the report to `./qa-out`, start with the home page and footer
How to install dogfood
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill dogfood -a claude-code2Manually: put the files in place
~/.claude/skills/dogfood/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/dogfood/
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill dogfood -a codex2Manually: put the files in place
.agents/skills/dogfood/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill dogfood -a cursor2Manually: put the files in place
.cursor/skills/dogfood/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install NousResearch/hermes-agent dogfood2Manually: put the files in place
.github/skills/dogfood/SKILL.md1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill dogfood -a gemini-cli2Platform CLI
gemini skills install https://github.com/NousResearch/hermes-agent --path skills/software-development/dogfoodManually: put the files in place
.devin/skills/dogfood/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill dogfood -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set4
The whole set →Other versions of dogfood
Similar
Questions about dogfood
How do I install dogfood in Claude Code?
Run npx skills add NousResearch/hermes-agent --skill dogfood -a claude-code. The skill lands in ~/.claude/skills/dogfood/SKILL.md. On other platforms the flag changes: -a codex, -a cursor, -a gemini-cli, -a opencode, and GitHub Copilot uses gh skill install NousResearch/hermes-agent dogfood.
What does dogfood do?
It runs exploratory QA on a web app: navigates pages, clicks through flows, fills forms, takes screenshots and puts everything into report.md.
What do I need before running it?
The browser toolset enabled with browser_exec available, plus a target entry point and a scope from you. Screenshots and the report default to ./dogfood-output.
Source text
SKILL.md · MIT
---
name: dogfood
description: "Exploratory QA of web apps: find bugs, evidence, reports."
version: 1.0.0
author: Teknium (teknium1), Hermes Agent
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [qa, testing, browser, web, dogfood]
related_skills: []
---
# Dogfood: Systematic Web Application QA Testing
## Overview
This skill guides you through systematic exploratory QA testing of web applications with `browser_exec`. You will navigate the application, interact with elements, capture evidence of issues, and produce a structured bug report.
## Prerequisites
- The `browser` toolset must be enabled (`browser_exec`). `browser_exec` runs Python with pre-imported helpers (`new_tab`, `goto_url`, `wait_for_load`, `page_info`, `js`, `fill_input`, `click_at_xy`, `capture_screenshot`, `cdp`); browser state persists across calls, Python variables do not.
- 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
Batch each step's actions into one `browser_exec` call. For each page or feature in your plan:
1. **Navigate with a console hook installed.** Register the hook on the tab before navigating so errors thrown during page load are captured too:
```python
# Open page with console-error capture
HOOK = """window.__qa_errors = [];
const _e = console.error;
console.error = (...a) => { window.__qa_errors.push(a.map(String).join(' ')); _e(...a); };
addEventListener('error', e => window.__qa_errors.push('uncaught: ' + e.message));
addEventListener('unhandledrejection', e => window.__qa_errors.push('rejection: ' + String(e.reason)));"""
new_tab('about:blank') # first call only: the hook binds to the current tab
cdp('Page.addScriptToEvaluateOnNewDocument', source=HOOK)
goto_url("https://example.com/page")
wait_for_load()
print(page_info())
print(js('window.__qa_errors || []'))
```
Re-register the hook at the start of any later call that navigates. Silent JS errors are high-value findings.
2. **Read the page structure** — list visible interactive elements with their viewport centres (use `cdp('Accessibility.getFullAXTree')` and filter in Python when you need roles/names):
```python
# List interactive elements
print(js("""(() => [...document.querySelectorAll('a,button,input,select,textarea,[role=button]')]
.filter(e => e.offsetParent).slice(0, 80).map((e, i) => { const r = e.getBoundingClientRect();
return {i, tag: e.tagName, text: (e.innerText || e.value || e.getAttribute('aria-label') || '').trim().slice(0, 60),
id: e.id, name: e.name, x: Math.round(r.x + r.width / 2), y: Math.round(r.y + r.height / 2)}; }))()"""))
```
3. **Visually assess the page:** call `capture_screenshot()` and inspect the attached image for layout issues, broken elements, or accessibility concerns. If your model cannot view images, pass the printed path to `vision_analyze`.
4. **Test interactive elements** systematically:
- Click buttons and links: `js("document.querySelector('#submit').click()")`, or `click_at_xy(x, y)` with a centre from step 2
- Fill forms: `fill_input('input[name=email]', 'test input')`
- Test keyboard navigation: `cdp('Input.dispatchKeyEvent', type='keyDown', key='Tab', code='Tab', windowsVirtualKeyCode=9)` followed by the matching `keyUp`, then `js('document.activeElement.outerHTML.slice(0, 200)')` to see where focus landed; same pattern with `key='Enter'`, `code='Enter'`, `windowsVirtualKeyCode=13`
- Scroll through content: `js('window.scrollBy(0, 800)')`
- Go back: `js('history.back()')`, then `wait_for_load()`
- Test form validation with invalid inputs
- Test empty submissions
5. **After each interaction**, in the same call, check for:
- Console errors: `print(js('window.__qa_errors || []'))`
- Visual changes: `capture_screenshot()` and compare with the previous one
- Expected vs actual behavior (`page_info()`, or `js()` reading the relevant element)
### Phase 3: Collect Evidence
For every issue found:
1. **Take a screenshot** showing the issue: `capture_screenshot()` prints the saved path. Copy it to `{output_dir}/screenshots/` under a descriptive name (e.g. `issue-03-broken-login.png`) — 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
All browser actions are `browser_exec` calls; these are the helpers and idioms used above.
| Action | `browser_exec` idiom |
|------|---------|
| Go to a URL | `new_tab(url)` once (or `new_tab('about:blank')` before registering the hook), then `goto_url(url)`; follow with `wait_for_load()` |
| Page state | `page_info()` |
| DOM / accessibility tree | `js(...)` extraction, or `cdp('Accessibility.getFullAXTree')` filtered in Python |
| Click | `js("document.querySelector(sel).click()")` or `click_at_xy(x, y)` |
| Type into an input | `fill_input(selector, text)` |
| Scroll | `js('window.scrollBy(0, 800)')` |
| Go back | `js('history.back()')` |
| Press a key | `cdp('Input.dispatchKeyEvent', type='keyDown', key=..., code=..., windowsVirtualKeyCode=...)` + `keyUp` |
| Screenshot | `capture_screenshot()` (image attached to the result; text-only models use `vision_analyze` on the path) |
| JS console errors | hook via `cdp('Page.addScriptToEvaluateOnNewDocument', source=HOOK)`, read with `js('window.__qa_errors || []')` |
## Tips
- **Always read `window.__qa_errors` after navigating and after significant interactions.** Silent JS errors are among the most valuable findings.
- **Batch each sub-procedure into one `browser_exec` call** (navigate, wait, extract, act, check errors) — fewer round-trips, and the hook stays in place.
- **Take a `capture_screenshot()`** when you need to reason about element positions or when DOM extraction is ambiguous; `click_at_xy` takes the centres from the element listing.
- **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.
© Teknium (teknium1), Hermes Agent · MIT · NousResearch/hermes-agent