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Agent Browser

CommunityPopular
Chachamaru127
agent-browser

Browser automation through the repo agent-browser CLI. Explicit helper for navigation, forms, screenshots, scraping, and web-app checks. Prefer Browser Use or Playwright when available. Do NOT load for: sharing URLs, embedding links, or editing screenshot files.

Overview

PublisherChachamaru127
Repositoryclaude-code-harness
Skill nameagent-browser
Stars
3.2K
Forks
302
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Chachamaru127 on GitHub. Read the source before you install it.

Installation

Install the Agent Browser AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/agent-browser
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Chachamaru127/claude-code-harness.git /tmp/claude-code-harness
mkdir -p .claude/skills
cp -r /tmp/claude-code-harness/codex/.codex/skills/agent-browser .claude/skills/agent-browser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Browser in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Browser on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Browser is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Agent Browser Skill

ブラウザ自動化を行うスキル。agent-browser CLI を使用して、UI デバッグ・検証・自動操作を実行します。


トリガーフレーズ

agent-browser が明示指定された時に使う補助スキル。以下は扱える操作の例であり、自動起動の条件ではない:

  • 「ページを開いて」「URLを確認して」
  • 「クリックして」「入力して」「フォームに」
  • 「スクリーンショットを撮って」
  • 「UIを確認して」「画面をテストして」
  • "open this page", "click on", "fill the form", "screenshot"

機能詳細

機能詳細
ブラウザ自動化See references/browser-automation.md
AI スナップショットワークフローSee references/ai-snapshot-workflow.md

実行手順

Step 0: agent-browser の確認

bash
# インストール確認
which agent-browser

# インストールを明示依頼され、未インストールの場合のみ
npm install -g agent-browser
agent-browser install

Step 1: ユーザーのリクエストを分類

リクエストタイプ対応アクション
URL を開くagent-browser open <url>
要素をクリックスナップショット → agent-browser click @ref
フォーム入力スナップショット → agent-browser fill @ref "text"
状態確認agent-browser snapshot -i -c
スクリーンショットagent-browser screenshot <path>
デバッグagent-browser --headed open <url>

Step 2: AI スナップショットワークフロー(推奨)

ほとんどの操作で、まずスナップショットを取得してから要素参照で操作します:

bash
# 1. ページを開く
agent-browser open https://example.com

# 2. スナップショット取得(AI 向け、インタラクティブ要素のみ)
agent-browser snapshot -i -c

# 出力例:
# - link "Home" [ref=e1]
# - button "Login" [ref=e2]
# - input "Email" [ref=e3]
# - input "Password" [ref=e4]
# - button "Submit" [ref=e5]

# 3. 要素参照で操作
agent-browser click @e2           # Login ボタンをクリック
agent-browser fill @e3 "user@example.com"
agent-browser fill @e4 "password123"
agent-browser click @e5           # Submit

Step 3: 結果の確認

bash
# 現在の状態をスナップショットで確認
agent-browser snapshot -i -c

# または URL を確認
agent-browser get url

# スクリーンショットを取得
agent-browser screenshot result.png

クイックリファレンス

基本操作

コマンド説明
open <url>URL を開く
snapshot -i -cAI 向けスナップショット
click @e1要素をクリック
fill @e1 "text"フォームに入力
type @e1 "text"テキストを入力
press Enterキーを押す
screenshot [path]スクリーンショット
closeブラウザを閉じる

ナビゲーション

コマンド説明
back戻る
forward進む
reloadリロード

情報取得

コマンド説明
get text @e1テキスト取得
get html @e1HTML 取得
get url現在の URL
get titleページタイトル

待機

コマンド説明
wait @e1要素を待機
wait 10001秒待機

デバッグ

コマンド説明
--headedブラウザを表示
consoleコンソールログ
errorsページエラー
highlight @e1要素をハイライト

セッション管理

複数のタブ/セッションを並列管理:

bash
# セッションを指定
agent-browser --session admin open https://admin.example.com
agent-browser --session user open https://example.com

# セッション一覧
agent-browser session list

# 特定セッションで操作
agent-browser --session admin snapshot -i -c

MCP ブラウザツールとの使い分け

ツール推奨度用途
agent-browser★★★明示指定された CLI によるスナップショット操作
chrome-devtools MCP★★☆Chrome が既に開いている場合
playwright MCP★★☆複雑な E2E テスト

原則: ユーザー指定のブラウザ経路を優先する。指定がなければ利用可能な Browser Use / Playwright 等の経路を使い、agent-browser の導入を前提にしない。


注意事項

  • agent-browser はヘッドレスモードがデフォルト
  • --headed オプションでブラウザを表示可能
  • セッションは明示的に close するまで維持される
  • 認証が必要なサイトはセッションを活用

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agent Browser AI skill do?

Browser automation through the repo agent-browser CLI. Explicit helper for navigation, forms, screenshots, scraping, and web-app checks. Prefer Browser Use or Playwright when available. Do NOT load for: sharing URLs, embedding links, or editing screenshot files.

Why use Agent Browser on TypingMind?

Because you install it once and use it with any model. Agent Browser is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Browser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Chachamaru127/claude-code-harness/tree/main/codex/.codex/skills/agent-browser. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Browser?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Browser?

As many as you like. As long as a model supports skills, you can use Agent Browser with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Browser AI skill free?

Yes. It is published on GitHub by Chachamaru127 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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