agent-browser is a command-line tool that lets AI agents control web browsers for tasks such as clicking, navigation, and screenshots. Developers use it to automate browser interactions from agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vercel-labs/agent-browser --skill dogfoodgit clone --depth 1 https://github.com/vercel-labs/agent-browserWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vercel-labs/agent-browser/dogfood)<a href="https://agentmods.dev/skills/vercel-labs/agent-browser/dogfood"><img src="https://agentmods.dev/badge/skills/vercel-labs/agent-browser/dogfood.svg" alt="Measured on agentmods" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 4 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 25 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.02404 |
| Opus 5 | $0.00050 | $0.01202 |
| Sonnet 5 | $0.00020 | $0.00481 |
| Haiku 4.5 | $0.00010 | $0.00240 |
Grade A, and why
dogfood scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- dogfood — 100% identical, 0 lines differ
- dogfood — 100% identical, 0 lines differ
- dogfood — 100% identical, 0 lines differ
- dogfood — 100% identical, 0 lines differ
- dogfood — 100% identical, 0 lines differ
- dogfood — 97% identical, 5 lines differ
- dogfood — 92% identical, 26 lines differ
- dogfood — 92% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 [email protected] |
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
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 221 lines · 100 tokens per session scan A c86db6b33c8f
dogfood is a skill published in the GitHub repository vercel-labs/agent-browser (42,133 stars, last pushed today), licensed Apache-2.0. It adds 100 tokens to every session and 2,404 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
browse
Drive a real browser through Aside: open a page, read it, click through a flow, take screenshots, check console errors. (gstack).
playwright-cli
A command-line tool for controlling Chromium, Firefox, and WebKit browsers, including navigation, page interaction, screenshots, PDFs, and recorded actions.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
create-verification-skill
Create a repo-local verification skill and exhaustive feature map for driving a real app through its UI, CLI, or API. Use for "create a verification skill", "make a verify skill for this repo", or "document how agents can verify this app".
browser-qa
A browser-based quality check for deployed web pages and user flows. It uses browser automation to test rendering, navigation, forms, interactions, responsive behaviour, and accessibility-related issues.
test-electron-app
Drive the real running PostHog Electron app (live tRPC, workspace-server, real data) over CDP with agent-browser. Connect to the running app on port 9222, test desktop changes against a local Django stack, snapshot the accessibility tree, inspect network requests, and screenshot only when explicitly asked. Use when…