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 flonat/flonat-research --skill latex-scaffoldgit clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/flonat/flonat-research/latex-scaffold)<a href="https://agentmods.dev/skills/flonat/flonat-research/latex-scaffold"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/latex-scaffold/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/flonat/flonat-research/latex-scaffold"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/latex-scaffold.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 | $0.00054 | $0.01824 |
| Opus 5 | $0.00027 | $0.00912 |
| Sonnet 5 | $0.00011 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00182 |
Grade A, and why
latex-scaffold 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 7d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Scaffold
Convert an approved Markdown draft into a minimal, compilable LaTeX project. This is a deterministic format conversion — prose quality should already be addressed in the source draft.
When to Use
- Converting a literature review, survey, or report from Markdown to LaTeX for PDF output
- Turning meeting notes or drafts into a formatted document
- Bootstrapping a LaTeX project from an existing outline
- Any time you need md→tex without rewriting content
Inputs
- A Markdown file (
.md) — the draft to convert - A
.bibfile (optional) — if the draft contains citations
Outputs
- A
.texfile ready to compile withlatex - The fail-closed canonical
.latexmkrcif one does not already exist. Invoke thelatexpre-flight to copy the canonical artifact; never synthesize selected directives.
Workflow
Step 1: Analyse the Draft
Read the Markdown file and inventory:
- Heading structure (determine
\section/\subsectiondepth) - Citations (
[@Key]or[@Key1; @Key2]patterns) - Tables (Markdown pipe tables)
- Math blocks (
$...$inline,$$...$$display) - Figures (
) - Code blocks (fenced with language)
- Whether an abstract section exists
Step 2: Create the LaTeX File
Apply these conversion rules:
| Markdown | LaTeX |
|---|---|
# Title (first H1) |
\title{...} |
## Section |
\section{...} |
### Subsection |
\subsection{...} |
#### Subsubsection |
\subsubsection{...} |
## Abstract |
\begin{abstract}...\end{abstract} |
Headings starting with Appendix |
\appendix once, then \section{...} |
**bold** |
\textbf{...} |
*italic* |
\emph{...} |
`code` |
\texttt{...} |
[@Key] |
\citep{Key} |
[@Key1; @Key2] |
\citep{Key1,Key2} |
@Key (inline) |
\citet{Key} |
$...$ / $$...$$ |
Pass through unchanged |
- item |
\begin{itemize}\item ...\end{itemize} |
1. item |
\begin{enumerate}\item ...\end{enumerate} |
> quote |
\begin{quote}...\end{quote} |
 |
\begin{figure}[htbp]\includegraphics{path}\caption{caption}\end{figure} |
| Pipe tables | \begin{table}[htbp]\begin{tabular}{...}...\end{tabular}\end{table} |
| Fenced code blocks | \begin{verbatim}...\end{verbatim} |
--- (horizontal rule) |
\bigskip\hrule\bigskip or omit |
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.
- 7d ago First seen · 163 lines · 54 tokens per session scan A d726d7fe687b
latex-scaffold is a skill published in the GitHub repository flonat/flonat-research (133 stars, last pushed 16d ago), licensed MIT. It adds 54 tokens to every session and 1,824 once invoked, about $0.0003 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
latex-compile
Compile a LaTeX document and fix every error plus aesthetic issue (overfull/underfull boxes, widows, alignment, fonts) for a clean PDF and log. Use this instead of running pdflatex/latexmk manually — it avoids the latexmk stale-log trap and silent grep failures on binary log output, and it reformats rather than…
beamer-presentation
Create academic presentations in Beamer with professional themes.
latex-tables
Generate publication-ready regression tables in LaTeX.
nature-data
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data…
publication-chart-skill
This skill should be used when the user asks for a publication-quality scientific figure or table, wants help choosing the right chart for results, needs a paper-ready pubfig or pubtab workflow, wants a figure + companion table for a results section, wants an Excel sheet turned into publication-ready LaTeX, or wants…
paper-figures
Extract figures from downloaded papers and include them in survey/review reports. Use when the report covers other groups' work and benefits from their architecture diagrams, experimental plots, or system schematics. Your brain prompt supplies the absolute path to the extract-figures script as {{EXTRACTFIGURES}} — use…