Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClawnpx agentmods add skills/zaoqu-liu/scienceclaw/paper-2-webWrote 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.
[](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/paper-2-web)<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/paper-2-web"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/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.
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/paper-2-web"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/paper-2-web.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.03878 |
| Opus 5.5 | $0.00031 | $0.01551 |
| Sonnet 5.5 | $0.00016 | $0.00776 |
| Haiku 4.5 | $0.00008 | $0.00388 |
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.
This is a copy
86% identical to paper-2-web — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 497 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:
- Paper2Web: Interactive, explorable academic homepages with layout-aware design
- Paper2Video: Professional presentation videos with narration, slides, and optional talking-head
- 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"
Visual Enhancement with Scientific Schematics
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
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.
- 1mo ago First seen · 497 lines · 78 tokens per session scan A 5fa8f4845dd5
paper-2-web is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 7mo ago), licensed MIT. It adds 78 tokens to every session and 3,878 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to paper-2-web, differing in 39 lines, and is treated as a copy.
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