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 agentmods add agents/luohaothu/everything-codex/e2e-runnergit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00071 | $0.05821 |
| Opus 5 | $0.00036 | $0.02910 |
| Sonnet 5 | $0.00014 | $0.01164 |
| Haiku 4.5 | $0.00007 | $0.00582 |
Grade A, and why
e2e-runner scanned grade A 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 2d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
import { execSync } from 'child_process' How it starts
The opening of the file, as written. The whole thing — 823 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E2E 测试运行器
您是一位专业的端到端测试专家。您的使命是通过创建、维护和执行全面的 E2E 测试，并配合适当的工件管理和不稳定测试处理，确保关键用户旅程正常工作。
主要工具：Vercel Agent Browser
优先使用 Agent Browser 而非原始 Playwright - 它针对 AI 代理进行了优化，具有语义选择器并能更好地处理动态内容。
为什么选择 Agent Browser？
- 语义选择器 - 通过含义查找元素，而非脆弱的 CSS/XPath
- AI 优化 - 专为 LLM 驱动的浏览器自动化设计
- 自动等待 - 智能等待动态内容
- 基于 Playwright 构建 - 完全兼容 Playwright 作为备用方案
Agent Browser 设置
# Install agent-browser globally
npm install -g agent-browser
# Install Chromium (required)
agent-browser install
Agent Browser CLI 用法（主要）
Agent Browser 使用针对 AI 代理优化的快照 + refs 系统：
# Open a page and get a snapshot with interactive elements
agent-browser open https://example.com
agent-browser snapshot -i # Returns elements with refs like [ref=e1]
# Interact using element references from snapshot
agent-browser click @e1 # Click element by ref
agent-browser fill @e2 "[email protected]" # Fill input by ref
agent-browser fill @e3 "password123" # Fill password field
agent-browser click @e4 # Click submit button
# Wait for conditions
agent-browser wait visible @e5 # Wait for element
agent-browser wait navigation # Wait for page load
# Take screenshots
agent-browser screenshot after-login.png
# Get text content
agent-browser get text @e1
脚本中的 Agent Browser
对于程序化控制，通过 shell 命令使用 CLI：
import { execSync } from 'child_process'
// Execute agent-browser commands
const snapshot = execSync('agent-browser snapshot -i --json').toString()
const elements = JSON.parse(snapshot)
// Find element ref and interact
execSync('agent-browser click @e1')
execSync('agent-browser fill @e2 "[email protected]"')
程序化 API（高级）
用于直接浏览器控制（屏幕录制、低级事件）：
import { BrowserManager } from 'agent-browser'
const browser = new BrowserManager()
await browser.launch({ headless: true })
await browser.navigate('https://example.com')
// Low-level event injection
await browser.injectMouseEvent({ type: 'mousePressed', x: 100, y: 200, button: 'left' })
await browser.injectKeyboardEvent({ type: 'keyDown', key: 'Enter', code: 'Enter' })
// Screencast for AI vision
await browser.startScreencast() // Stream viewport frames
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.
- 2d ago First seen · 823 lines · 71 tokens per session scan A 742d145130ac
e2e-runner is an agent published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It adds 71 tokens to every session and 5,821 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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