Borrowing it
Nothing to install: this file belongs to akiojin/llmlb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/akiojin/llmlb/develop/.claude/commands/e2e.playground.mdgit clone --depth 1 https://github.com/akiojin/llmlbWrote 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/commands/akiojin/llmlb/e2e.playground)<a href="https://agentmods.dev/commands/akiojin/llmlb/e2e.playground"><img src="https://agentmods.dev/badge/commands/akiojin/llmlb/e2e.playground/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/commands/akiojin/llmlb/e2e.playground"><img src="https://agentmods.dev/badge/commands/akiojin/llmlb/e2e.playground.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 | $0.00020 | $0.01326 |
| Opus 5.5 | $0.00008 | $0.00530 |
| Sonnet 5.5 | $0.00004 | $0.00265 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
e2e.playground 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| PST-07 | Copy cURL | `#copy-curl` | クリック | How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Goal
MCP Playwrightツールを使用して、LLM Router PlaygroundのE2Eテストを対話的に実行する。 ブラウザを起動し、チャット機能・設定・セッション管理の動作を検証する。
Prerequisites
- llmlbサーバーが
http://localhost:8080で起動していること - サーバーが起動していない場合は、別ターミナルで
cargo run --release -p llmlbを実行
Test Scenarios
Phase 1: 初期表示テスト
- ナビゲーション:
/playgroundにアクセス - 初期スクリーンショット: 初期状態を記録
- 要素存在確認:
- サイドバー (
#sidebar) - チャットエリア (
.chat-main) - モデル選択 (
#model-select) - 入力フォーム (
#chat-form)
- サイドバー (
Phase 2: Sidebar テスト
| ID | テスト内容 | セレクタ | 操作 |
|---|---|---|---|
| PS-01 | サイドバー表示 | #sidebar |
存在確認 |
| PS-02 | 折りたたみトグル | #sidebar-toggle |
クリック→状態変化確認 |
| PS-03 | New Playgroundボタン | #new-chat |
クリック→新規セッション作成 |
| PS-04 | セッションリスト | #session-list |
項目確認 |
Phase 3: Header テスト
| ID | テスト内容 | セレクタ | 操作 |
|---|---|---|---|
| PH-01 | モデル選択 | #model-select |
オプション一覧確認 |
| PH-02 | 接続ステータス | #router-status |
状態確認 |
| PH-03 | 設定ボタン | #settings-toggle |
クリック→モーダル表示 |
Phase 4: Chat Input テスト
| ID | テスト内容 | セレクタ | 操作 |
|---|---|---|---|
| PC-01 | メッセージ入力 | #chat-input |
テキスト入力 |
| PC-02 | 送信ボタン | #send-button |
存在確認 |
| PC-03 | 停止ボタン | #stop-button |
存在確認（hidden状態） |
| PC-04 | Enterキー送信 | #chat-input |
Enter押下 |
Phase 5: Settings Modal テスト
| ID | テスト内容 | セレクタ | 操作 |
|---|---|---|---|
| PST-01 | モーダル開く | #settings-toggle |
クリック |
| PST-02 | Provider切替 | .provider-btn |
各ボタンクリック |
| PST-03 | API Key入力 | #api-key-input |
テキスト入力 |
| PST-04 | ストリーミングトグル | #stream-toggle |
チェック切替 |
| PST-05 | システムプロンプト | #system-prompt |
テキスト入力 |
| PST-06 | Clear Playground | #reset-chat |
クリック |
| PST-07 | Copy cURL | #copy-curl |
クリック |
| PST-08 | モーダル閉じる | #modal-close |
クリック |
Phase 6: Chat Flow テスト（オプション）
モデルが利用可能な場合のみ実行:
| ID | テスト内容 | 操作 |
|---|---|---|
| CF-01 | メッセージ送信 | テキスト入力→送信 |
| CF-02 | ユーザーメッセージ表示 | .message--user 確認 |
| CF-03 | レスポンス待機 | .message--assistant 確認 |
| CF-04 | 履歴保存 | セッションリスト更新確認 |
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 · 133 lines · 20 tokens per session scan A 7c42adf0569c
e2e.playground is a command published in the GitHub repository akiojin/llmlb (10 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 1,326 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-21.
Other commands, from other repositories
expect
Diff-aware AI browser testing — reads the git diff, maps changes to affected pages via the route map, generates a targeted test plan, and executes it via agent-browser (Rust daemon + CDP, ARIA-tree-first) with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, or running regression checks on…
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
amazing-e2e-check
Run explicitly requested E2E, browser, device, or installed-deployment scenarios in an independent verification workflow.
record
Record a browser walkthrough of a URL using Antigravity (agy). Generates .webm video, screenshots, and a report. Auto-converts to MP4 if ffmpeg is available.
verify-pr
Verify a PR's frontend changes through browser automation.
auto-verify
A command for checking a website's front-end user experience with Playwright, a tool that automates web browsers.