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 beita6969/ScienceClaw --skill latex-writinggit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/latex-writing)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/latex-writing"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/latex-writing/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/beita6969/scienceclaw/latex-writing"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/latex-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 232 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00072 | $0.02082 |
| Opus 5 | $0.00036 | $0.01041 |
| Sonnet 5 | $0.00014 | $0.00416 |
| Haiku 4.5 | $0.00007 | $0.00208 |
Grade A, and why
latex-writing 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 — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX Academic Writing
Generate publication-ready LaTeX documents, equations, tables, and bibliography entries for academic journals across all disciplines.
When to Use
- "Write this section in LaTeX for Nature"
- "Format this equation in LaTeX"
- "Create a BibTeX entry for this paper"
- "Generate a LaTeX table from this data"
- "Set up a LaTeX document for IEEE conference"
- "Help me with natbib citation commands"
When NOT to Use
- General paper writing advice (use paper-writing)
- Literature searching (use literature-search)
- Statistical analysis (use statsmodels-stats or scipy-analysis)
- Figure generation (use matplotlib-viz)
Journal Templates
Nature / Nature Communications
\documentclass[12pt]{article}
\usepackage{times}
\usepackage[margin=2.5cm]{geometry}
\usepackage{amsmath,graphicx,hyperref}
\usepackage[numbers,sort&compress]{natbib}
% Nature: Title, Authors, Affiliations, Abstract (150 words max),
% Main text (2500 words), Methods, References (max 30), Figures (max 6)
\title{Title (max 90 characters)}
\author{Author One$^{1,*}$, Author Two$^{2}$}
\date{}
\begin{document}
\maketitle
\begin{abstract}
% 150 words max. No references. No abbreviations.
\end{abstract}
\section*{Introduction}
\section*{Results}
\section*{Discussion}
\section*{Methods}
\bibliographystyle{naturemag}
\bibliography{refs}
\end{document}
IEEE Conference (IEEEtran)
\documentclass[conference]{IEEEtran}
\usepackage{amsmath,graphicx,cite}
\title{Paper Title}
\author{\IEEEauthorblockN{First Author}
\IEEEauthorblockA{Affiliation\\Email}}
\begin{document}
\maketitle
\begin{abstract}
% 150-200 words
\end{abstract}
\begin{IEEEkeywords}
keyword1, keyword2
\end{IEEEkeywords}
\section{Introduction}
\section{Related Work}
\section{Methodology}
\section{Experiments}
\section{Conclusion}
\bibliographystyle{IEEEtran}
\bibliography{refs}
\end{document}
ACM (acmart)
\documentclass[sigconf,review]{acmart}
\title{Paper Title}
\author{Name}{Affiliation}{email}{orcid}{}
\begin{document}
\begin{abstract}
\end{abstract}
\begin{CCSXML}
% ACM CCS concepts
\end{CCSXML}
\keywords{keyword1, keyword2}
\maketitle
\section{Introduction}
\bibliographystyle{ACM-Reference-Format}
\bibliography{refs}
\end{document}
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 · 239 lines · 72 tokens per session scan A 1933476a0efa
latex-writing is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 2,082 once invoked, about $0.0004 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.
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biomcp
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biomcp-research
Do biomedical literature and variant research with the BioMCP CLI, and file what you learn about the tool itself as issues in the biomcp repo.
biological-expert
Expert-level biology, biotechnology, genetics, bioinformatics, and computational biology. Use when the user mentions biology, biotechnology, genetics, bioinformatics, or genomics, or when the task involves Molecular Biology, Genomics & Bioinformatics, Systems Biology, or Data Analysis.