quarto-conventions

quarto-conventions is a cursor rule for Cursor from AI-Learning-Gems/AI-Learning-Gems.github.io. It costs 2,039 tokens per session, scanned A, original, MIT.

Shared rules for organizing and formatting Quarto documents. Quarto is a tool that turns Markdown and LaTeX into rendered documents such as textbooks or reports.

In plain words
What is it for?
Use them when creating or editing Quarto chapters, including folders, section files, headings, LaTeX, and included content.
Why use it?
They keep large documents easier to edit by separating sections into files while using an index file to render them together.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/ai-learning-gems/ai-learning-gems.github.io/quarto-conventions
Clone the repo
git clone --depth 1 https://github.com/AI-Learning-Gems/AI-Learning-Gems.github.io

Made for: Cursor.

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 quarto-conventions

README.md
[![agentmods](https://agentmods.dev/badge/rules/ai-learning-gems/ai-learning-gems.github.io/quarto-conventions.svg)](https://agentmods.dev/rules/ai-learning-gems/ai-learning-gems.github.io/quarto-conventions)
Your own site
<a href="https://agentmods.dev/rules/ai-learning-gems/ai-learning-gems.github.io/quarto-conventions"><img src="https://agentmods.dev/badge/rules/ai-learning-gems/ai-learning-gems.github.io/quarto-conventions.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,039 This file is loaded in full into every session.
When invoked 2,039 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02039 $0.02039
Opus 5 $0.01019 $0.01019
Sonnet 5 $0.00408 $0.00408
Haiku 4.5 $0.00204 $0.00204

Measured 4d ago against content hash c99fe3c4efad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quarto-conventions 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 4d 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.

.cursor/rules/quarto-conventions.mdc · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quarto Conventions

Shared Quarto formatting and structure rules for all textbook chapter workflows.


Folder-Based Structure

Because IDE agents rewrite files from scratch on each edit, a single-file approach causes the entire chapter to be rewritten when editing any section. Instead, use a folder-based structure where:

  • Each section is a separate file (can be edited independently)
  • An index file includes all sections (renders as a single document)

File Structure

Statistics/
├── Bayesian Credible Intervals.qmd          ← Index file (includes all sections)
└── Bayesian Credible Intervals/             ← Folder (same name as index)
    ├── TEXTBOOK-PLAN.md                     ← Created by the research workflow
    ├── _01-introduction.qmd                 ← Section 1
    ├── _02-the-bayesian-framework.qmd       ← Section 2
    ├── _03-computing-credible-intervals.qmd ← Section 3
    ├── _04-examples.qmd                     ← Section 4
    ├── _98-math-background.qmd              ← Math Background appendix (if needed)
    ├── _99-closing.qmd                      ← Summary, questions, resources
    └── sources/                             ← Symlink or note pointing to AI-Learning-Gems/sources/

Key conventions:

  • Index file: [Topic Name].qmd — contains YAML header and {{< include >}} statements
  • Folder: [Topic Name]/ — same name as the index file (without .qmd)
  • Section files: Prefixed with _ so Quarto doesn't render them standalone
  • Numeric prefixes: _01-, _02-, etc. for ordering (starting at _01, not _00)
  • Sources: Referenced from central AI-Learning-Gems/sources/ — see TEXTBOOK-PLAN.md for paths

Index File Template

The index file should contain ONLY the YAML header and include statements. Most settings (format, jupyter kernel, execute options) are inherited from the project's _quarto.yml file — the index file only needs the title and the D2 diagram filter.

CRITICAL: The filter path is RELATIVE from the .qmd file to the _extensions folder at the project root. Adjust the number of ../ based on folder depth:

  • Files 1 level deep (e.g., Statistics/Topic.qmd): ../_extensions/...
  • Files 2 levels deep (e.g., Statistics/Subfolder/Topic.qmd): ../../_extensions/...

Read the full file on GitHub · 229 lines

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. 4d ago First seen · 229 lines · 2,039 tokens per session scan A c99fe3c4efad

Subscribe to this mod's changes

quarto-conventions is a cursor rule published in the GitHub repository AI-Learning-Gems/AI-Learning-Gems.github.io (22 stars, last pushed 2mo ago), licensed MIT. It adds 2,039 tokens to every session, about $0.0102 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 2026-08-30.