benchmark-e2e

benchmark-e2e is a skill for Claude Code from build-with-dhiraj/ai-workflow-framework-portability-kit. It costs 46 tokens per session (1,352 once invoked), scanned B, original, MIT.

An end-to-end benchmark suite for testing a Vercel plugin across realistic projects. It creates projects, exercises skill injection, starts development servers, checks their pages, analyses sessions and writes reports.

In plain words
What is it for?
Use it to run the full or quick benchmark, test multiple projects, launch development servers, confirm they return usable HTML, connect logs to test runs, and generate JSON and Markdown improvement reports.
Why use it?
It checks the whole workflow instead of only one hook or isolated rule, helping identify failures in setup, execution, generated projects or verification.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the vercel-plugin plugin — 7 skills, 2 agents, 1 MCP server shipped together

Good fit Use it to run the full or quick benchmark, test multiple projects, launch development servers, confirm they return usable HTML, connect logs to test runs, and generate JSON and Markdown improvement reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/build-with-dhiraj/ai-workflow-framework-portability-kit/benchmark-e2e
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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill benchmark-e2e
Clone the repo
git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kit

Made for: Claude Code.

Or install vercel-plugin, the plugin that ships this one along with the rest of its 7 skills, 2 agents, 1 MCP server.

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 benchmark-e2e

README.md
[![agentmods](https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/benchmark-e2e.svg)](https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/benchmark-e2e)
Your own site
<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/benchmark-e2e"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/benchmark-e2e.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,352 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00046 $0.01352
Opus 5 $0.00023 $0.00676
Sonnet 5 $0.00009 $0.00270
Haiku 4.5 $0.00005 $0.00135

Measured 7d ago against content hash 1f18ec33990b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

benchmark-e2e 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 7d 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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf ~/dev/vercel-plugin-testing

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Plugins/vercel-marketplace-source/.claude/skills/benchmark-e2e/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Benchmark E2E

Single-command pipeline that creates projects, exercises skill injection via claude --print, launches dev servers, verifies they work, analyzes conversation logs, and generates actionable improvement reports.

Quick Start

# Full suite (9 projects, ~2-3 hours)
bun run scripts/benchmark-e2e.ts

# Quick mode (first 3 projects, ~30-45 min)
bun run scripts/benchmark-e2e.ts --quick

Options:

Flag Description Default
--quick Run only first 3 projects false
--base <path> Override base directory ~/dev/vercel-plugin-testing
--timeout <ms> Per-project timeout (forwarded to runner) 900000 (15 min)

Pipeline Stages

The orchestrator chains four stages sequentially, aborting on failure:

  1. runner — Creates test dirs, installs plugin, runs claude --print with VERCEL_PLUGIN_LOG_LEVEL=trace
  2. verify — Detects package manager, launches dev server, polls for 200 with non-empty HTML
  3. analyze — Matches JSONL sessions to projects via run-manifest.json, extracts metrics
  4. report — Generates report.md and report.json with scorecards and recommendations

Contracts

run-manifest.json

Written by the runner at <base>/results/run-manifest.json. Links all downstream stages to the same run.

interface BenchmarkRunManifest {
  runId: string;           // UUID for this pipeline run
  timestamp: string;       // ISO 8601
  baseDir: string;         // Absolute path to base directory
  projects: Array<{
    slug: string;          // e.g. "01-recipe-platform"
    cwd: string;           // Absolute path to project dir
    promptHash: string;    // SHA hash of the prompt text
    expectedSkills: string[];
  }>;
}

The analyzer and verifier read this manifest to correlate sessions precisely instead of guessing from directory listings.

events.jsonl

The orchestrator writes NDJSON events to <base>/results/events.jsonl tracking pipeline lifecycle:

Read the full file on GitHub · 143 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. 7d ago First seen · 143 lines · 46 tokens per session scan B 1f18ec33990b

Subscribe to this mod's changes

benchmark-e2e is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 25d ago), licensed MIT. It adds 46 tokens to every session and 1,352 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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