Scholars-Attendant

KO | EN

gitlite — search

#python #hacktoberfest #react #typescript #llm #go #golang #rust #deep-learning #cli #kubernetes #vue #awesome-list #mcp

Scholars-Attendant

(★ 10)

Your research & scientific reading assistant. our loyal servant awaits your command, my liege; mine arms and heart are ever at your grace's disposal.

Scholars-Attendant 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<h1 align="center">Scholars-Attendant (书僮)</h1>

Your research & scientific reading assistant — our loyal servant awaits your command, my liege.

An [OpenClaw](https://github.com/openclaw/openclaw) plugin that automatically detects research paper URLs, extracts structured metadata, and provides a full paper analysis pipeline — from quick saves to richly formatted Notion blog pages.

## Showcase

### Paper Archive in Notion

Papers are automatically organized in a Notion database with metadata, tags, conference info, and reading priority:

### Generated Summary with Figures

Each paper gets a comprehensive blog-style summary with TL;DR, verbatim abstract, method analysis with equations, key figures, and references:

## Quick Start

```bash
# 1. Clone
git clone https://github.com/Nagi-having-fun/Scholars-Attendant.git
cd Scholars-Attendant

# 2. Install (no build step needed — OpenClaw runs TypeScript via jiti)
npm install --omit=dev

# 3. Set your Notion API token
export NOTION_API_TOKEN=ntn_your_token_here

# 4. Register as an OpenClaw plugin
openclaw plugin add ./path/to/Scholars-Attendant

# 5. Create the Notion database (one-time setup)
#    Share a Notion page with your integration first, then use notion_setup tool
```

### Docker Setup

```yaml
services:
  openclaw:
    environment:
      NOTION_API_TOKEN: ${NOTION_API_TOKEN}
      ANTHROPIC_API_KEY: ${ANTHROPIC_API_KEY}  # Required for API mode
    volumes:
      - ./path/to/Scholars-Attendant:/app/extensions/paper-collector
```

### Standalone Usage (without OpenClaw)

```typescript
import { createExtractPaperFiguresTool } from "./src/notion-tools.js";

// Extract validated figure URLs from any arXiv paper
const tool = createExtractPaperFiguresTool({ logger: console });
const result = await tool.execute("call-1", { arxiv_id: "2410.08827" });
// Returns only figures >=10KB, validated via HEAD request
```

## Features

- **Multi-platform URL detection**: arXiv, Xiaohongshu, WeChat, X/Twitter, GitHub, and more
- **Image-based paper inference**: Analyzes screenshots and diagrams to identify papers from social media
- **Structured metadata extraction**: Title, authors, institutions, summary, contributions, tags
- **AlphaXiv integration**: Fetch AI-generated structured overviews for arXiv papers
- **Formula & table parsing**: LaTeX equations with correct formatting and tables with proper structure
- **Figure extraction with validation**: ar5iv, arXiv HTML, PDF screenshots, with size validation
- **Blog-style Notion pages**: KaTeX equations, embedded figures, tables, references (Lilian Weng style)
- **Chinese translation sub-pages**: Full translation as child page (same figures, tables, equations)
- **Quality gate enforcement**: Rejects content under 40 blocks or with broken/tiny images
- **Dual execution mode**: API mode (AI API calls) or Agent mode (hosting LLM generates content)
- **Model selection**: Choose from Anthropic, OpenAI, Google Gemini, or DeepSeek models
- **Image toggle**: Generate summaries with or without figures
- **Zotero integration**: Sync papers to Zotero collections with duplicate checking, batch sync, and auto-created subcollections

## Execution Modes

| Mode | Config | How It Works |
|------|--------|-------------|
| **Agent** (default) | `"mode": "agent"` | Hosting LLM agent generates content, calls tools |
| **API** | `"mode": "api"` | Plugin calls AI APIs directly via `generate_paper_summary` |

### Model Selection

Both modes support configurable model selection:

```json
{
  "mode": "api",
  "model": "claude-sonnet-4-6",
  "includeImages": true
}
```

**Available models:**

| Provider | Models |
|----------|--------|
| Anthropic | `claude-opus-4-6`, `claude-sonnet-4-6`, `claude-haiku-4-5-20251001` |
| OpenAI | `gpt-5.4`, `gpt-4.1`, `gpt-4.1-mini`, `o3`, `o4-mini` |
| Google | `gemini-2.5-pro`, `gemini-2.5-flash`, `gemini-2.0-flash` |
| DeepSeek | `deepseek-chat`, `deepseek-reasoner` |

### Image Toggle

Set `"includeImages": false` to skip figure extraction and generate text-only summaries (faster processing).

## Skills

| Skill | Description |
|-------|-------------|
| **paper-collector** | Core workflow: detect paper URLs, extract metadata, save to Notion |
| **alphaxiv-lookup** | Fetch structured AI-generated paper overviews from alphaxiv.org |
| **paper-parse** | Extract formulas, symbols, and tables with correct LaTeX formatting |
| **paper-figures** | Extract and validate paper figures with multi-source fallback |
| **paper-to-notion** | Convert paper into blog-style Notion page + Chinese translation |

### Workflow

```
User sends a paper URL
 |
 v
 paper-collector <- Auto-detect, extract metadata, save to Notion DB
 |
 v
 extract_paper_figures <- Validate figure URLs (>=10KB, reachable)
 | Fallback: PDF browser screenshots
 v
 notion_write_page <- English blog page (>=40 blocks, validated images)
 | TL;DR, verbatim abstract, method, results, references
 v
 notion_create_child_page <- Chinese translation (full mirror, NOT a summary)
 |
 v
 Reply to user <- Title, authors, Notion link, stats
```

## Tools

| Tool | Description |
|------|-------------|
| `notion_save_paper` | Save paper metadata to Notion |
| `notion_batch_save` | Batch save with deduplication and rate limiting |
| `notion_setup` | One-time database creation |
| `extract_page_images` | Extract image URLs from HTML |
| `extract_paper_figures` | Validate figure URLs from ar5iv/arXiv HTML |
| `notion_write_page` | Write blog content with quality gates |
| `notion_create_child_page` | Create Chinese translation sub-page |
| `generate_paper_summary` | **(API mode only)** One-step: fetch, generate, write |

## Notion Database Schema

| Property | Type | Description |
|----------|------|-------------|
| Title | Title | Paper title |
| Authors | Rich Text | Author names |
| Institution | Multi-select | Author affiliations |
| Published | Date | Publication date |
| Source URL | URL | Original URL |
| Paper URL | URL | arXiv/DOI link |
| Summary | Rich Text | One-sentence summary |
| Contributions | Rich Text | Main contributions |
| Tags | Multi-select | Research area tags |
| Conference | Select | Venue with year |
| Status | Select | Unread / Reading / Read |
| Notes | Rich Text | Personal reading notes |

## Project Structure

```
├── index.ts                  # Plugin entry point — registers tools by mode
├── openclaw.plugin.json      # Plugin manifest with config schema
├── package.json
├── docs/images/              # README images
├── src/
│   ├── config.ts             # Configuration parser
│   ├── types.ts              # Types + AVAILABLE_MODELS registry
│   ├── ai-client.ts          # Multi-provider AI API client
│   ├── api-mode-tools.ts     # API mode: generate_paper_summary tool
│   ├── notion-client.ts      # Notion API wrapper
│   ├── notion-tools.ts       # Core tool definitions with quality gates
│   ├── markdown-to-blocks.ts # Markdown to Notion block converter
│   └── image-extract.ts      # HTML image URL extraction
└── skills/
    ├── paper-collector/      # URL detection + metadata extraction
    ├── alphaxiv-lookup/      # AlphaXiv paper overview
    ├── paper-parse/          # Formula & table extraction
    ├── paper-figures/        # Figure extraction + validation
    └── paper-to-notion/      # Blog-style Notion page generation
```

## Claude Code Integration

This plugin can also be used with **Claude Code** (Anthropic's CLI for Claude) without OpenClaw. Claude Code uses its native tools (Notion MCP, WebFetch, WebSearch) to replicate the same workflow.

### Quick Start (Claude Code)

1. **Clone this repo and enter the Claude Code directory:**
   ```bash
   git clone https://github.com/Nagi-having-fun/Scholars-Attendant.git
   cd Scholars-Attendant/claude-code
   ```

2. **Start Claude Code in this directory:**
   ```bash
   claude
   ```
   Claude Code auto-loads `CLAUDE.md` with the full workflow instructions.

3. **Run first-time setup:**
   ```
   /paper-setup
   ```

4. **Collect a paper:**
   ```
   /paper https://arxiv.org/abs/2310.07127
   ```

### Claude Code Tool Mapping

| OpenClaw Tool | Claude Code Equivalent |
|---|---|
| `web_fetch` | `WebFetch` |
| `web_search` | `WebSearch` / Exa `web_search_exa` |
| `browser` (screenshots) | Not available — use `curl` via Bash + Exa `crawling_exa` |
| `extract_page_images` | `WebFetch` + parse HTML |
| `notion_save_paper` | `notion-create-pages` with `data_source_id` |
| `notion_write_page` | `notion-update-page` with `replace_content` |
| `notion_create_child_page` | `notion-create-pages` (parent `page_id`) + `notion-update-page` |

### Zotero Integration

Sync papers from Notion to your Zotero library. Works with both Claude Code and OpenClaw.

**Setup:**
1. Get your API key from https://www.zotero.org/settings/keys (enable library + write access)
2. Run `/zotero-setup` in Claude Code, or set env vars:
   ```bash
   export ZOTERO_API_KEY=your_key_here
   export ZOTERO_USER_ID=your_user_id
   ```

**Commands:**
| Command | Description |
|---------|-------------|
| `/zotero-setup` | First-time Zotero API configuration |
| `/zotero list` | Show all Zotero collections |
| `/zotero <paper title>` | Save a single paper to Zotero |
| `/notion-to-zotero <source> -> <collection>` | Batch sync Notion table to Zotero collection |

## Requirements

- Node.js 22+ or Bun
- [OpenClaw](https://github.com/openclaw/openclaw) (for plugin mode)
- [Notion integration token](https://www.notion.so/my-integrations)
- AI API key (for API mode): Anthropic, OpenAI, Google, or DeepSeek

## License

MIT

Scholars-Attendant

Scholars-Attendant 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Scholars-Attendant

Scholars-Attendant 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README