agentcore

agentcore is a skill for Claude Code from coelhobugado/antigravity-browser-bridge. It costs 89 tokens per session (936 once invoked), scanned A, a copy of agentcore, Apache-2.0.

A setup for running browser automation in AWS Bedrock AgentCore, a managed AWS service that hosts cloud browsers. It lets agent-browser commands run in an AWS browser session instead of on your computer.

In plain words
What is it for?
Running browser commands, taking screenshots, and keeping browser profiles in AWS-managed sessions.
Why use it?
It avoids installing or hosting a local browser when you already use AWS credentials and infrastructure.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Running browser commands, taking screenshots, and keeping browser profiles in AWS-managed sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coelhobugado/antigravity-browser-bridge/agentcore
Install

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.

Any agent
npx skills add coelhobugado/antigravity-browser-bridge --skill agentcore
Clone the repo
git clone --depth 1 https://github.com/coelhobugado/antigravity-browser-bridge

Made for: Claude Code.

Wrote 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.

agentmods badge for agentcore

README.md
[![agentmods](https://agentmods.dev/badge/skills/coelhobugado/antigravity-browser-bridge/agentcore/github.svg)](https://agentmods.dev/skills/coelhobugado/antigravity-browser-bridge/agentcore)
Your own site
<a href="https://agentmods.dev/skills/coelhobugado/antigravity-browser-bridge/agentcore"><img src="https://agentmods.dev/badge/skills/coelhobugado/antigravity-browser-bridge/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.

agentmods 80×15 button for agentcore

Your own site · 80×15
<a href="https://agentmods.dev/skills/coelhobugado/antigravity-browser-bridge/agentcore"><img src="https://agentmods.dev/badge/skills/coelhobugado/antigravity-browser-bridge/agentcore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 936 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.00936
Opus 5 $0.00044 $0.00468
Sonnet 5 $0.00018 $0.00187
Haiku 4.5 $0.00009 $0.00094

Measured 9d ago against content hash f616b6dbce7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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 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.

Origin

This is a copy

100% identical to agentcore — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skill-data/agentcore/SKILL.md · 116 lines

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:

  1. Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, optionally AWS_SESSION_TOKEN)
  2. 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#

Read the full file on GitHub · 116 lines

Changes

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.

  1. 9d ago First seen · 116 lines · 89 tokens per session scan A f616b6dbce7c

Subscribe to this mod's changes

agentcore is a skill published in the GitHub repository coelhobugado/antigravity-browser-bridge (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 89 tokens to every session and 936 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agentcore, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

job-applier

Apply to jobs from your real browser. Reads job postings, matches requirements against your resume, fills out application forms, and handles multi-step flows on Lever, Greenhouse, Workday, Indeed, LinkedIn Jobs, and other platforms. Reviews everything before submitting. Requires the hanzi browser automation MCP server…

hanzili/hanzi-browse · 68 tokens

browser-use

Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.

browser-use/browser-use · 26 tokens

pinchtab-mcp

Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.

pinchtab/pinchtab · 52 tokens

aipex-browser

AI-powered browser automation using the AIPex Chrome Extension via MCP bridge. Use this skill when the agent needs to control a Chrome browser — navigating pages, clicking elements, filling forms, capturing screenshots, managing tabs, or downloading content — by connecting to the AIPex MCP bridge.

AIPexStudio/AIPex · 61 tokens

Agent Browser Automation

Fast Rust-based headless browser automation CLI with Node.js fallback for AI agents, featuring navigation, clicking, typing, snapshots, and structured commands optimized for agent workflows.

PramodDutta/qaskills · 37 tokens

owb

Open Web Bridge (OWB) — drive the user's own real browser with the owb command. Read pages behind their existing logins, gather and cross-check information, fill forms, walk multi-step flows, debug their site, audit responsive/accessibility behavior, and capture or reverse-engineer network traffic. Use this whenever…

woniu9524/open-web-bridge · 143 tokens