paper-2-web

paper-2-web is a skill for Claude Code from foryourhealth111-pixel/Vibe-Skills. It costs 40 tokens per session (3,470 once invoked), scanned A, original, Apache-2.0.

A pipeline that turns an academic paper in LaTeX or PDF form into research-sharing materials such as a website, video abstract, or conference poster. A preprint is a research paper shared publicly before formal journal publication.

In plain words
What is it for?
Use it to create paper websites, narrated video abstracts, and print-ready conference posters from papers or preprints.
Why use it?
It saves time when the same research needs to be explained in several formats for conferences, readers, or public communication. It helps move information beyond the original paper.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Good fit Use it to create paper websites, narrated video abstracts, and print-ready conference posters from papers or preprints.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/foryourhealth111-pixel/vibe-skills/paper-2-web
About the project

Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.

foryourhealth111-pixel/Vibe-Skills · 3,772 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add foryourhealth111-pixel/Vibe-Skills --skill paper-2-web
Clone the repo
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills

Made for: Claude Code.

Wrote 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.

agentmods badge for paper-2-web

README.md
[![agentmods](https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/paper-2-web/github.svg)](https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/paper-2-web)
Your own site
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/paper-2-web"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/paper-2-web/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.

agentmods 80×15 button for paper-2-web

Your own site · 80×15
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/paper-2-web"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/paper-2-web.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,470 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.03470
Opus 5.5 $0.00016 $0.01388
Sonnet 5.5 $0.00008 $0.00694
Haiku 4.5 $0.00004 $0.00347

Measured 1mo ago against content hash f61c1318a0a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper-2-web scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

bundled/skills/paper-2-web/SKILL.md · 466 lines

How it starts

The opening of the file, as written. The whole thing — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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"

Boundary

This skill owns transformation of an existing paper into dissemination assets. It can reuse provided figures and paper assets, but it does not generate new scientific diagrams, run data analysis, write the original manuscript, or require a separate visual specialist as part of normal transformation.

Read the full file on GitHub · 466 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago First seen · 466 lines · 40 tokens per session scan A f61c1318a0a2

Subscribe to this mod's changes

paper-2-web is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,772 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 3,470 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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