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.
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.
npx skills add foryourhealth111-pixel/Vibe-Skills --skill scholarly-publishinggit clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-SkillsWrote 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/foryourhealth111-pixel/vibe-skills/scholarly-publishing)<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/scholarly-publishing"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/scholarly-publishing/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/foryourhealth111-pixel/vibe-skills/scholarly-publishing"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/scholarly-publishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01862 |
| Opus 5 | $0.00023 | $0.00931 |
| Sonnet 5 | $0.00009 | $0.00372 |
| Haiku 4.5 | $0.00005 | $0.00186 |
Grade A, and why
scholarly-publishing 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholarly Publishing (论文投稿全流程)
你会得到什么（输出契约）
当用户说“我要投稿/返修/相机就绪/需要 LaTeX 工程化/写 rebuttal/写 cover letter”时，本 skill 负责把目标拆成可交付的出版资产包：
manuscript/：论文源文件（LaTeX / Word / Markdown 任一作为 source-of-truth）figures/：每张图的源代码/源数据/最终导出要求（PDF/EPS/SVG/TIFF）supplement/：补充材料（方法细节、附录、扩展实验、额外图表）submission/：投稿所需文件（cover letter、graphical abstract、highlights、checklist、打包 zip）revision/：返修资产（rebuttal、diff、逐条回应矩阵）build/：可复现构建产物（PDF、打包 zip、CI 日志）
目标不是“写一段文字/画一张图”，而是产出能提交、能返修、能复用、能审计的一套文件与规范。
何时使用（触发场景）
适用场景（中英混合均可）：
- 投稿/返修：
投稿、submission、返修、revision、rebuttal、回复审稿意见、camera-ready、proof - LaTeX 工程化：
latex template、latexmk、bibtex、biber、Overleaf、chktex、latexindent - 可复现出版包：
manuscript as code、reproducible manuscript、submission zip、paper pdf build
不适用：
- 仅“从 PDF 提取文本/合并 PDF/批注回复”等纯文档处理。
- 仅“画流程图/概念示意图/数据结果图/组会幻灯片”，且不涉及投稿资产包或出版交付。
输入信息（最小问询）
为了稳定落地，至少需要：
- 目标投向：期刊/会议/出版社（不知道也可以先用“类目”：Nature/IEEE/ACM/NeurIPS/PLOS）
- 论文类型：研究论文/方法论文/综述/短文/技术报告
- 交付物：投稿包、返修包、camera-ready 包、可复现构建包、项目主页/视频摘要/海报等传播资产（可多选）
- 写作来源：是否已有草稿/数据/图？（已有就以“改稿/补齐规范”为主）
工作流（可执行流程）
Phase 0 — 选择“单一事实源”（Single Source of Truth）
在以下三者中选一个做源文件（强烈建议只选一个）：
- LaTeX：适合期刊/会议、公式多、需要严格排版、可 CI 构建
- Word：适合部分医学生命科学期刊/协作者偏 Word 的团队
- Markdown/Quarto：适合技术报告/内部报告/可发布网页（可导出 PDF）
元规则：同一论文不要在多个格式里并行编辑。其它格式只能是“导出物”。
Phase 1 — 先建“投稿约束”再写正文
- 目标投向与模板：记录版式、匿名、页数、图表、引用和补充材料约束
- 投稿清单：按 pre-submission、submission、revision、camera-ready 四类阶段列出必需文件
- 明确图的规格：列出每张图的用途、类型（line art / raster / combination）与导出格式（PDF/TIFF）
Phase 2 — 论文主线（写作）
执行两段式写作：
- 先写“结构大纲（允许 bullet）”
- 再写“最终正文（必须段落，禁止 bullet）”
元规则（顶级期刊通用）：
- 先图后文：Results 的主线由 Figures 驱动
- 句子不超载：每句一个主张；每段一个中心句；每节一个问题
- 让审稿人省力：方法可复现、统计可追溯、图注自解释
Phase 3 — 图表交付约束
本 skill 只定义投稿所需的图表交付约束，不在正文内要求调用其它作图专家：
- 对 data figure：统一字体、字号、线宽、配色、子图间距、panel label（A/B/C）
- 导出：优先
PDF/EPS/SVG（矢量），必要时TIFF 600dpi（栅格） - 可访问性：色盲友好（Okabe-Ito / colorcet / cmcrameri）
What ships with it
2 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.
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.
- 9d ago First seen · 138 lines · 47 tokens per session scan A c253ac324a32
scholarly-publishing is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,862 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
clinical-reports
Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
pptx-posters
Create and audit editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Use when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are required.
ai-provider-claude-vision
Image understanding and document analysis with Claude's multimodal capabilities -- image input formats, PDF processing, multi-image patterns, structured extraction, and token cost estimation.
overleaf
Sync and manage Overleaf LaTeX projects from the command line. Pull projects locally, push changes back, compile PDFs, and download compile outputs like .bbl files for arXiv submissions. Use when working with LaTeX, Overleaf, academic papers, or arXiv.
md-to-latex
Convert Markdown to LaTeX source via Pandoc.