Skill2Poster — security grade SAFE, quality 51/100

Security audit verdict: SAFE · quality 51/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by LEON-gittech · Codex Skill · ★ 56

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About Skill2Poster

Skill2Poster 中文 Project page Skill2Poster is a Codex skill pack for academic poster generation. It helps turn research papers into accurate A0 HTML/PDF-style posters by using AI image generation only as a visual design reference, then rebuilding the final poster with verified paper content, figures, tables, equations, logos, QR codes, and measurements. Skill2Poster 是一个 skill-driven 的学术海报生成工作流,用来把论文内容转成视觉质量较高、信息准确、可检查的 academic poster。项目包含两个 Codex skills、示例产物和一个可发布的 project page,核心流程是: 先生成一张质量不错的 poster 设计参考图。 再基于设计参考图,用真实论文内容和素材实现高清、准确、可渲染的 HTML poster。 这里的关键判断是:图像生成很适合探索版式、视觉层级、密度、配色和整体风格,但不应该作为最终事实来源。Skill2Poster 把生图结果当作设计参考,而不是当作最终 poster 本身;最终 poster 需要在 HTML 中重新构建,并替换为真实文本、图表、公式、logo、二维码和实验数字。 适合谁 想把 research paper、LaTeX project 或 PDF 快速转成 conference poster 的研究者。 需要一个可检查、可导出、尺寸准确的 HTML academic poster workflow 的用户。 想把 AI poster mockup 用作设计参考,但不想让生成图虚构文本、公式、表格和实验数字的用户。 想复用 Codex skills 来拆分 poster design、content audit、HTML rendering 和 layout QA 的用户。 Motivation 学术海报难做,是因为它同时包含两类任务: 内容压缩:从论文里决定哪些问题动机、方法机制、实验结果和结论应该被保留下来。 视觉生产:把这些内容组织成 A0 poster 上可读、平衡、符合会议展示场景的视觉结构。 Paper2Poster 这类系统主要关注从 paper PDF 到 editable poster artifact 的自动化生成。Skill2Poster 采取一个互补但更偏实现落地的路径:把 poster 生成拆成可复用的...

academic-posterai-postercodex-skillsconference-posterhtml-posterimage-generationpaper-to-posterposter-generationresearch-posterscientific-visualization

Quick Facts

Stars56
Forks1
LanguageTeX
CategoryCodex Skill
Quality Score51.2703424874405/100
Last Updated2026-06-18
Created2026-06-02
Platformscodex
Est. Tokens~15k

Compatible Skills

These tools work well together with Skill2Poster for enhanced workflows:

  • thesis-figure-skill — semantic(0.26)+complementary+same_lang+similar_pop (49%)
  • ai-first-toolkit — semantic(0.20)+complementary+similar_pop+shared_platform (47%)
  • mcp-image — semantic(0.20)+complementary+similar_pop+shared_platform (47%)

Skill2Poster alternative? Top 6 similar tools

Looking for a Skill2Poster alternative? If you're comparing Skill2Poster with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • PaperBanana-CN by mituan-ai · ⭐ 72

    Scientific figure workbench with independent VLM/image connections, Chinese UI, and unified size controls.

  • play-console-cli by tamtom · ⭐ 248

    Fast CLI for Google Play Console, for developers optimized for your agentic development flows

  • codex-settings by feiskyer · ⭐ 243

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  • comfy-pilot by ConstantineB6 · ⭐ 230

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  • OpticalModeler by k-telux · ⭐ 215

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  • obsidian-plugin-skill by gapmiss · ⭐ 187

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Frequently Asked Questions

What is Skill2Poster?

Skill2Poster is Codex skills for academic poster generation: turn paper content into accurate A0 HTML/PDF posters via AI design mockups.. It is categorized as a Codex Skill with 56 GitHub stars.

What programming language is Skill2Poster written in?

Skill2Poster is primarily written in TeX. It covers topics such as academic-poster, ai-poster, codex-skills.

How do I install or use Skill2Poster?

You can find installation instructions and usage details in the Skill2Poster GitHub repository at github.com/LEON-gittech/Skill2Poster. The project has 56 stars and 1 forks, indicating an active community.

What are the best alternatives to Skill2Poster?

The top alternatives to Skill2Poster on Agent Skills Hub include PaperBanana-CN, play-console-cli, codex-settings. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools