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 Kevin-Liu-01/Agent-Machines --skill vercel-sandboxgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/vercel-sandbox)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/vercel-sandbox"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/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/kevin-liu-01/agent-machines/vercel-sandbox"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/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 | $0.02436 |
| Opus 5 | $0.00063 | $0.01218 |
| Sonnet 5 | $0.00025 | $0.00487 |
| Haiku 4.5 | $0.00013 | $0.00244 |
Grade B, and why
vercel-sandbox scanned grade B with 1 finding 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 8d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
`sudo dnf clean all 2>&1 && sudo dnf install -y --skip-broken ${CHROMIUM_SYSTEM_DEPS.join(" ")} 2>&1 && sudo ldconfig 2>&1`, This is a copy
91% identical to vercel-sandbox — 153 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 — 281 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 @vercel/sandbox
The sandbox VM needs system dependencies for Chromium plus agent-browser itself. Use sandbox snapshots (below) to pre-install everything for sub-second startup.
Core Pattern
import { Sandbox } from "@vercel/sandbox";
// System libraries required by Chromium on the sandbox VM (Amazon Linux / dnf)
const CHROMIUM_SYSTEM_DEPS = [
"nss", "nspr", "libxkbcommon", "atk", "at-spi2-atk", "at-spi2-core",
"libXcomposite", "libXdamage", "libXrandr", "libXfixes", "libXcursor",
"libXi", "libXtst", "libXScrnSaver", "libXext", "mesa-libgbm", "libdrm",
"mesa-libGL", "mesa-libEGL", "cups-libs", "alsa-lib", "pango", "cairo",
"gtk3", "dbus-libs",
];
function getSandboxCredentials() {
if (
process.env.VERCEL_TOKEN &&
process.env.VERCEL_TEAM_ID &&
process.env.VERCEL_PROJECT_ID
) {
return {
token: process.env.VERCEL_TOKEN,
teamId: process.env.VERCEL_TEAM_ID,
projectId: process.env.VERCEL_PROJECT_ID,
};
}
return {};
}
async function withBrowser<T>(
fn: (sandbox: InstanceType<typeof Sandbox>) => Promise<T>,
): Promise<T> {
const snapshotId = process.env.AGENT_BROWSER_SNAPSHOT_ID;
const credentials = getSandboxCredentials();
const sandbox = snapshotId
? await Sandbox.create({
...credentials,
source: { type: "snapshot", snapshotId },
timeout: 120_000,
})
: await Sandbox.create({ ...credentials, runtime: "node24", timeout: 120_000 });
if (!snapshotId) {
await sandbox.runCommand("sh", [
"-c",
`sudo dnf clean all 2>&1 && sudo dnf install -y --skip-broken ${CHROMIUM_SYSTEM_DEPS.join(" ")} 2>&1 && sudo ldconfig 2>&1`,
]);
await sandbox.runCommand("npm", ["install", "-g", "agent-browser"]);
await sandbox.runCommand("npx", ["agent-browser", "install"]);
}
try {
return await fn(sandbox);
} finally {
await sandbox.stop();
}
}
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.
- 8d ago First seen · 281 lines · 126 tokens per session scan B 15da32dca80c
vercel-sandbox is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 2,436 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 91% identical to vercel-sandbox, differing in 153 lines, and is treated as a copy.
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