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 agentcoregit 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/agentcore)<a href="https://agentmods.dev/skills/vercel-labs/agent-browser/agentcore"><img src="https://agentmods.dev/badge/skills/vercel-labs/agent-browser/agentcore/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vercel-labs/agent-browser/agentcore"><img src="https://agentmods.dev/badge/skills/vercel-labs/agent-browser/agentcore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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]
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 | $0.00089 | $0.00936 |
| Opus 5.5 | $0.00036 | $0.00374 |
| Sonnet 5.5 | $0.00018 | $0.00187 |
| Haiku 4.5 | $0.00009 | $0.00094 |
Grade A, and why
agentcore 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Bedrock AgentCore
Run agent-browser on cloud browser sessions hosted by AWS Bedrock AgentCore. All standard agent-browser commands work identically; the only difference is where the browser runs.
Setup
Credentials are resolved automatically:
- Environment variables (
AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY, optionallyAWS_SESSION_TOKEN) - AWS CLI fallback (
aws configure export-credentials), which supports SSO, IAM roles, and named profiles
No additional setup is needed if the user already has working AWS credentials.
Core Workflow
# Open a page on an AgentCore cloud browser
agent-browser -p agentcore open https://example.com
# Everything else is the same as local Chrome
agent-browser snapshot -i
agent-browser click @e1
agent-browser screenshot page.png
agent-browser close
Environment Variables
| Variable | Description | Default |
|---|---|---|
AGENTCORE_REGION |
AWS region | us-east-1 |
AGENTCORE_BROWSER_ID |
Browser identifier | aws.browser.v1 |
AGENTCORE_PROFILE_ID |
Persistent browser profile (cookies, localStorage) | (none) |
AGENTCORE_SESSION_TIMEOUT |
Session timeout in seconds | 3600 |
AWS_PROFILE |
AWS CLI profile for credential resolution | default |
Persistent Profiles
Use AGENTCORE_PROFILE_ID to persist browser state across sessions. This is useful for maintaining login sessions:
# First run: log in
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "[email protected]"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser close
# Future runs: already authenticated
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/dashboard
Live View
When a session starts, AgentCore prints a Live View URL to stderr. Open it in a browser to watch the session in real time from the AWS Console:
Session: abc123-def456
Live View: https://us-east-1.console.aws.amazon.com/bedrock-agentcore/browser/aws.browser.v1/session/abc123-def456#
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.
- 1mo ago First seen · 116 lines · 89 tokens per session scan A f616b6dbce7c
agentcore is a skill published in the GitHub repository vercel-labs/agent-browser (44,393 stars, last pushed today), licensed Apache-2.0. It adds 89 tokens to every session and 936 once invoked, about $0.0004 per session on Opus 5.5. 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.
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