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Browser-Copilot

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# Chromium Sidebar AI Assistant

Chromium is a simple browser sidebar agent that helps you with summarizing web pages or performing simple automation tasks. Just drag and drop the unzipped folder into chrome://extensions/ (with Developer mode enabled), and you're good to go!

The assistant supports the following atomic actions:

| Action | JSON Schema |
| --- | --- |
| **Click** | `{"type":"click","selector":"button.submit-btn"}` |
| **Ctrl+Click** | `{"type":"click","selector":"a.result","modifiers":["ctrl"]}` |
| **Double-click** | `{"type":"double_click","selector":".editable-cell"}` |
| **Right-click** | `{"type":"right_click","selector":".item"}` |
| **Type** | `{"type":"type","selector":"input[name='q']","text":"search content"}` |
| **Select** | `{"type":"select","selector":"select#category","value":"option"}` |
| **Press Key** | `{"type":"key","key":"Enter"}` |
| **Key on Element** | `{"type":"key","selector":".dropdown","key":"ArrowDown"}` |
| **Navigate** | `{"type":"navigate","url":"[https://example.com](https://example.com)"}` |
| **Scroll** | `{"type":"scroll","y":300}` |
| **Hover** | `{"type":"hover","selector":".menu-item"}` |
| **Clear** | `{"type":"clear","selector":"input#search"}` |

By customizing **Skills**, you can orchestrate these atomic actions to handle more complex workflows. For example, I use it to clean up my incredibly messy bookmarks:

https://github.com/user-attachments/assets/e5c9e846-9f95-48e1-b1c8-a6a50472d4ea

### Other Use Cases

1. **General Q&A:** Chat directly with the LLM.
2. **Page Summarization:** Summarize web pages or online documentation.
3. **Auto-Login:** Use Skills to store credentials and log into websites that frequently log you out.
4. **Smart Navigation:** Jump to websites when you can only vaguely remember their features.
5. **Testing Automation:** Fill in fixed mock data during product regression testing.
6. *...and whatever else you can dream up!*

More features are waiting for you to develop. Feel free to submit bug reports and optimization suggestions!

---

## ⚠️ Notes & Limitations

1. **Token Consumption:** When analyzing a page, the assistant sends the complete HTML file, which can be quite token-heavy.
2. **Scope of Control:** The extension can manipulate elements *within* the webpage. However, it currently does **not** support browser-level operations (e.g., right-click context menus, switching tabs, opening native bookmarks) or tool-dependent actions (e.g., reading images, Word documents, or performing web searches).
3. **Beta Actions:** Some `ACTIONS` have not been thoroughly tested yet. If something breaks, please feel free to open an issue.

---

## 💡 Tips & Tricks

1. **Choosing the Right Model:**
* If you have **GitHub Copilot**, you can bind it to call Copilot models—at least one of them usually offers unlimited usage.
* If you prefer paid APIs, **DeepSeek API** is highly recommended. It's incredibly fast and extremely budget-friendly.

2. **Local Models:** **Ollama** is the easiest way to run locally deployed models. However, smaller models (like *Qwen-0.6B*) often struggle to follow complex instructions reliably.
3. **Prompt & Workflow Optimization:** Sometimes, a clever combination of prompts, chat history length, and action delays can work wonders.
* *Token-Saving Tip:* When sorting bookmarks, step-by-step execution drains tokens fast. Instead, ask the LLM to generate actions in batches and execute them sequentially. This saves massive token overhead by avoiding re-sending the HTML page.
* *Identifying Elements:* If you're unsure how to target a specific element, you can right-click and use **"Inspect Element"** (挑选元素) to check its attributes (name, class, etc.). Alternatively, you can let the model run a few steps first, copy its generated JSON actions, and paste them directly into your prompt for future fixed workflows.

4. **Handling "Over-Enthusiastic" Models:** Some models get a bit too eager. If you give a vague prompt and the model doesn't know what the "completion criteria" looks like, it might get stuck in an endless Agent loop.
* *Example:* If you say, *"Where was that Google AI Studio billing page again? Help me jump there,"* you might just want it to land on the homepage. However, the model (looking at you, *GitHub Copilot gpt-5-mini*) might keep frantically clicking and guessing trying to reach your personal invoice page, even if it has no idea what the next step actually is.

Browser-Copilot

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