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 fabioc-aloha/Alex_Skill_Mall --skill latex-paper-conversiongit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/latex-paper-conversion)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/latex-paper-conversion"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/latex-paper-conversion/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/fabioc-aloha/alex_skill_mall/latex-paper-conversion"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/latex-paper-conversion.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 | $0.00062 | $0.01007 |
| Opus 5 | $0.00031 | $0.00504 |
| Sonnet 5 | $0.00012 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
latex-paper-conversion 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 11d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Paper Conversion
Overview
This skill automates the tedious and recurring process of converting an academic paper written in LaTeX from one publisher's template to another. Different journals (e.g., Springer, MDPI, IEEE) have vastly different structural requirements, document classes, margin settings, and bibliography styles. This skill streamlines these conversions by executing a structured multi-stage workflow, extracting content, mapping it to a new template, and resolving common compilation errors.
When to Use This Skill
- Use when the user requests to port an existing LaTeX paper to a new journal's format.
- Use when the user provides an existing
.texfile and a new template directory. - Use when the user mentions converting from format A (e.g., IPOL/Neural Processing) to format B (e.g., MDPI).
How It Works
Step 1: Pre-requisites & Assessment
Identify the Source LaTeX file and asking the user for the Target Template Directory. Understand the core layout mapping (single-column vs. double-column, bibliography style).
Step 2: Extraction & Injection Script Generation
Create a Python script (e.g., convert_format.py) to parse the source LaTeX file. Use Regular Expressions to extract core text blocks. Merge the new template's preamble, the extracted body, and the backmatter. Write this to a new file in an output directory.
Step 3: Systematic Fixing
Perform generic fixes on the extracted body text before writing the final file, or in subsequent calls:
- Convert math environment cases (e.g.,
\begin{theorem}to\begin{Theorem}). - Adjust aggressive float placements (e.g.,
[!t]or[h!]) to template-supported options. Avoid forcing[H]unless thefloatpackage is explicitly loaded. - Ensure
\includegraphicspaths are relative to the new.texfile location. - Convert
\begin{tabular}to\begin{tabularx}{\textwidth}or use\resizeboxif moving to a double-column layout.
Step 4: Compilation & Debugging
Run a build cycle (pdflatex -> bibtex -> pdflatex). Check the .log file using grep or rg to systematically fix any packages conflicts, undefined commands, or compilation halts.
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.
- 11d ago First seen · 72 lines · 62 tokens per session scan A 8c1a8a17d7d3
latex-paper-conversion is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,007 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 2026-08-31.
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