Atlas / Skills / jimmc414 / Paper 2 Web

Paper 2 WebSAFE

skills/jimmc414/paper-2-web

Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
—
Stars
595
01

Overview

Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

Read from source at commit 9be77d361822OBSERVED · 2026-10-14
02

Install

Commands as the repository documents them. They are shown, not run.

git clone https://github.com/YuhangChen1/Paper2All.git
uv pip install -r requirements.txt
git clone https://github.com/YuhangChen1/Paper2All.git
uv pip install -r requirements.txt
03

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
cursormentioned
04

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: paper-2-web
description: This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
---

# Paper2All: Academic Paper Transformation Pipeline

## Overview

This skill enables the transformation of academic papers into multiple promotional and presentation formats using the Paper2All autonomous pipeline. The system converts research papers (LaTeX or PDF) into three primary outputs:

1. **Paper2Web**: Interactive, explorable academic homepages with layout-aware design
2. **Paper2Video**: Professional presentation videos with narration, slides, and optional talking-head
3. **Paper2Poster**: Print-ready conference posters with professional layouts

The pipeline uses LLM-powered content extraction, design generation, and iterative refinement to create high-quality outputs suitable for conferences, journals, preprint repositories, and academic promotion.

## When to Use This Skill

Use this skill when:

- **Creating conference materials**: Posters, presentation videos, and companion websites for academic conferences
- **Promoting research**: Converting published papers or preprints into accessible, engaging web formats
- **Preparing presentations**: Generating video abstracts or full presentation videos from paper content
- **Disseminating findings**: Creating promotional materials for social media, lab websites, or institutional showcases
- **Enhancing preprints**: Adding interactive homepages to bioRxiv, arXiv, or other preprint submissions
- **Batch processing**: Generating promotional materials for multiple papers simultaneously

**Trigger phrases**:
- "Convert this paper to a website"
- "Generate a conference poster from my LaTeX paper"
- "Create a video presentation from this research"
- "Make an interactive homepage for my paper"
- "Transform my paper into promotional materials"
- "Generate a poster and video for my conference talk"

## Core Capabilities

### 1. Paper2Web: Interactive Website Generation

Converts papers into layout-aware, interactive academic homepages that go beyond simple HTML conversion.

**Key Features**:
- Responsive, multi-section layouts adapted to paper content
- Interactive figures, tables, and citations
- Mobile-friendly design with navigation
- Automatic logo discovery (with Google Search API)
- Aesthetic refinement and quality assessment

**Best For**: Post-publication promotion, preprint enhancement, lab websites, permanent research showcases

→ **See `references/paper2web.md` for detailed documentation**

---

### 2. Paper2Video: Presentation Video Generation

Generates professional presentation videos with slides, narration, cursor movements, and optional talking-head video.

**Key Features**:
- Automated slide generation from paper structure
- Natural-sounding speech synthesis
- Synchronized cursor movements and highlights
- Optional talking-head video using Hallo2 (requires GPU)
- Multi-language support

**Best For**: Video abstracts, conference presentations, online talks, course materials, YouTube promotion

→ **See `references/paper2video.md` for detailed documentation**

---

### 3. Paper2Poster: Conference Poster Generation

Creates print-ready academic posters with professional layouts and visual design.

**Key Features**:
- Custom poster dimensions (any size)
- Professional design templates
- Institution branding support
- QR code generation for links
- High-resolution output (300+ DPI)

**Best For**: Conference poster sessions, symposiums, academic exhibitions, virtual conferences

→ **See `references/paper2poster.md` for detailed documentation**

---

## Quick Start

### Prerequisites

1. **Install Paper2All**:
   ```bash
   git clone https://github.com/YuhangChen1/Paper2All.git
   cd Paper2All
   uv pip install -r requirements.txt
   ```

2. **Configure API Keys** (create `.env` file):
   ```
   OPENAI_API_KEY=your_openai_api_key_here
   # Optional: GOOGLE_API_KEY and GOOGLE_CSE_ID for logo search
   ```

3. **Install System Dependencies**:
   - LibreOffice (document conversion)
   - Poppler utilities (PDF processing)
   - NVIDIA GPU with 48GB (optional, for talking-head videos)

→ **See `references/installation.md` for complete installation guide**

---

### Basic Usage

**Generate All Components** (website + poster + video):
```bash
python pipeline_all.py \
  --input-dir "path/to/paper" \
  --output-dir "path/to/output" \
  --model-choice 1
```

**Generate Website Only**:
```bash
python pipeline_all.py \
  --input-dir "path/to/paper" \
  --output-dir "path/to/output" \
  --model-choice 1 \
  --generate-website
```

**Generate Poster with Custom Size**:
```bash
python pipeline_all.py \
  --input-dir "path/to/paper" \
  --output-dir "path/to/output" \
  --model-choice 1 \
  --generate-poster \
  --poster-width-inches 60 \
  --poster-height-inches 40
```

**Generate Video** (lightweight pipeline):
```bash
python pipeline_light.py \
  --model_name_t gpt-4.1 \
  --model_name_v gpt-4.1 \
  --result_dir "path/to/output" \
  --paper_latex_root "path/to/paper"
```

→ **See `references/usage_examples.md` for comprehensive workflow examples**

---

## Workflow Decision Tree

Use this decision tree to determine which components to generate:

```
User needs promotional materials for paper?
│
├─ Need permanent online presence?
│  └─→ Generate Paper2Web (interactive website)
│
├─ Need physical conference materials?
│  ├─→ Poster session? → Generate Paper2Poster
│  └─→ Oral presentation? → Generate Paper2Video
│
├─ Need video content?
│  ├─→ Journal video abstract? → Generate Paper2Video (5-10 min)
│  ├─→ Conference talk? → Generate Paper2Video (15-20 min)
│  └─→ Social media? → Generate 
05

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-14 · audit v0.4.1 · source sha 9be77d361822full audit observations/trust-audit/skill/jimmc414__paper-2-web.json · Report an issue / request a re-scan
06

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-149be77d361822SAFEB89first audit
07

Questions

What does the Paper 2 Web skill do?

Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

Is Paper 2 Web safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Paper 2 Web access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Paper 2 Web work with?

Its documentation mentions cursor. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (9be77d361822), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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