benchmark-sandbox

Orchestrate three-phase BUILD, VERIFY, DEPLOY evaluations in ephemeral Vercel Sandboxes.

Updated May 31, 2026
One-click install
npx skills add https://github.com/ChristineTham/lp --skill benchmark-sandbox-christinetham
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark-sandbox
Source: https://github.com/ChristineTham/lp/tree/main/.agents/skills/benchmark-sandbox
Command: npx skills add https://github.com/ChristineTham/lp --skill benchmark-sandbox-christinetham

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @vercel/sandbox.

What problem does it solve?

Running AI-enhanced deployment benchmarks requires provisioning fresh sandboxes, installing Claude Code, and collecting results across several phases. This Skill automates the process by orchestrating a 3-phase eval (BUILD, VERIFY, DEPLOY) inside ephemeral Vercel Sandboxes, ensuring pre-installed tools and consistent environments, and emitting structured scores and artifacts for each scenario.

Core Features & Use Cases

  • End-to-end sandbox orchestration: three-phase (BUILD, VERIFY, DEPLOY) evaluation with artifact extraction
  • Dynamic scenarios with haiku-based scoring to measure skill coverage
  • Lightweight plugin provisioning and deterministic sandbox lifecycles for reproducible benchmarks
  • Public and private results exposure through structured run summaries and reports

Quick Start

Run the Benchmark Sandbox Runner to spin up sandboxes, install Claude Code, and execute the 3-phase evaluation workflow.

Frequently Asked Questions about benchmark-sandbox

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate sandboxed deployment benchmarks with Claude Code in Vercel?

Automate sandboxed deployment benchmarks by orchestrating a three-phase BUILD, VERIFY, and DEPLOY evaluation pipeline inside ephemeral Vercel Sandboxes using Claude Code. The pipeline collects per-scenario haiku scores and extracts artifacts to measure skill coverage.

What is a Vercel Sandbox and when do I need it for AI evaluation?

A Vercel Sandbox is an ephemeral, isolated environment used for running safe and repeatable AI-enhanced deployment benchmarks. You need it when provisioning fresh environments to install Claude Code, execute dynamic scenarios, and collect structured results without affecting production.

How do I run a three-phase BUILD, VERIFY, and DEPLOY evaluation workflow?

Run the Benchmark Sandbox Runner to spin up ephemeral Vercel Sandboxes, provision lightweight plugins, and execute the three-phase BUILD, VERIFY, and DEPLOY workflow. It manages deterministic sandbox lifecycles to ensure reproducible benchmarks across dynamic scenarios.

Does the benchmark sandbox support dynamic scenarios with automated scoring?

Yes, the benchmark sandbox supports dynamic scenarios with haiku-based scoring to measure skill coverage. It operates on these scenarios during the evaluation pipeline and emits structured scores and artifacts for each run.

Do I need the @vercel/sandbox dependency to run Claude Code benchmarks?

Yes, you need the @vercel/sandbox dependency to provision fresh sandboxes and manage deterministic sandbox lifecycles. It provides the ephemeral environments required to securely install Claude Code and orchestrate the evaluation phases.

What are the limitations of running ephemeral sandbox evaluations for AI deployments?

The primary limitation of ephemeral sandbox evaluations is managing deterministic sandbox lifetimes, plugin provisioning, and secure auths. You must ensure safe, repeatable runs by carefully managing these lifecycles to avoid premature termination before artifact extraction completes.