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 coelhobugado/antigravity-browser-bridge --skill vercel-sandboxgit clone --depth 1 https://github.com/coelhobugado/antigravity-browser-bridgeWrote 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/coelhobugado/antigravity-browser-bridge/vercel-sandbox)<a href="https://agentmods.dev/skills/coelhobugado/antigravity-browser-bridge/vercel-sandbox"><img src="https://agentmods.dev/badge/skills/coelhobugado/antigravity-browser-bridge/vercel-sandbox/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/coelhobugado/antigravity-browser-bridge/vercel-sandbox"><img src="https://agentmods.dev/badge/skills/coelhobugado/antigravity-browser-bridge/vercel-sandbox.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00126 | $0.01830 |
| Opus 5.5 | $0.00050 | $0.00732 |
| Sonnet 5.5 | $0.00025 | $0.00366 |
| Haiku 4.5 | $0.00013 | $0.00183 |
Grade A, and why
vercel-sandbox 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.
This is a copy
100% identical to vercel-sandbox — 10 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.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser Automation with Vercel Sandbox
Run agent-browser + headless Chrome inside ephemeral Vercel Sandbox microVMs. A Linux VM spins up on demand, executes browser commands, and shuts down. Works with any Vercel-deployed framework (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.).
Dependencies
pnpm add @agent-browser/sandbox @vercel/sandbox
The sandbox VM needs system dependencies for Chromium plus agent-browser itself. The @agent-browser/sandbox helpers install them by default for fresh sandboxes and use sandbox snapshots (below) for sub-second startup. Pass installSystemDependencies: false only when the sandbox image already provides Chromium's required libraries.
Core Pattern
import {
createAgentBrowserSnapshot,
runAgentBrowserCommand,
withAgentBrowserSandbox,
type VercelSandboxSession,
} from "@agent-browser/sandbox/vercel";
async function withBrowser<T>(
fn: (sandbox: VercelSandboxSession) => Promise<T>,
): Promise<T> {
return withAgentBrowserSandbox(fn);
}
Screenshot
The screenshot --json command saves to a file and returns the path. Read the file back as base64:
export async function screenshotUrl(url: string) {
return withBrowser(async (sandbox) => {
await runAgentBrowserCommand(sandbox, ["open", url]);
const titleResult = await runAgentBrowserCommand<{ data?: { title?: string } }>(sandbox, [
"get", "title",
]);
const title = titleResult.json?.data?.title || url;
const ssResult = await runAgentBrowserCommand<{ data?: { path?: string } }>(sandbox, [
"screenshot",
]);
const ssPath = ssResult.json?.data?.path;
if (!ssPath) throw new Error("Screenshot did not return a file path.");
const b64Result = await sandbox.runCommand("base64", ["-w", "0", ssPath]);
const screenshot = (await b64Result.stdout()).trim();
await runAgentBrowserCommand(sandbox, ["close"], { json: false });
return { title, screenshot };
});
}
Accessibility Snapshot
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 · 214 lines · 126 tokens per session scan A 20f4041c0981
vercel-sandbox is a skill published in the GitHub repository coelhobugado/antigravity-browser-bridge (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 126 tokens to every session and 1,830 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to vercel-sandbox, differing in 10 lines, and is treated as a copy.
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