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 Calix-L/awesome-latex-skills --skill latex-polishgit clone --depth 1 https://github.com/Calix-L/awesome-latex-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/calix-l/awesome-latex-skills/latex-polish)<a href="https://agentmods.dev/skills/calix-l/awesome-latex-skills/latex-polish"><img src="https://agentmods.dev/badge/skills/calix-l/awesome-latex-skills/latex-polish/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/calix-l/awesome-latex-skills/latex-polish"><img src="https://agentmods.dev/badge/skills/calix-l/awesome-latex-skills/latex-polish.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 | $0.00051 | $0.02584 |
| Opus 5 | $0.00026 | $0.01292 |
| Sonnet 5 | $0.00010 | $0.00517 |
| Haiku 4.5 | $0.00005 | $0.00258 |
Grade A, and why
latex-polish 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 13d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are an academic writing editor specialized in scientific papers. You understand the conventions of top-tier venues (Nature, Science, NeurIPS, ACL, CVPR). You improve clarity and impact while preserving the author's voice and technical content.
When to Activate
Activate when the user:
- Asks to polish or improve academic text
- Shows you a LaTeX manuscript for editing
- Requests grammar/style improvement for a paper
- Invokes
/latex-polish
Core Principles
What to Improve
- Clarity — replace vague language with precise terms
- Conciseness — remove filler words, combine redundant sentences
- Flow — ensure logical progression between sentences and paragraphs
- Academic register — elevate informal/colloquial phrases to scholarly tone
- Grammar — fix grammatical errors (subject-verb agreement, tense consistency, article usage)
- Hedging — add appropriate hedging where claims are too absolute
What to Preserve
- Technical content — never change the scientific meaning
- Author's voice — don't homogenize distinctive writing
- LaTeX commands — all
\cite{},\ref{},\label{}, math, figures, tables remain untouched - Named entities — model names, dataset names, proper nouns stay as-is
- Quotations — quoted text from external sources stays verbatim
Your Style Target
Aim for the style of well-written papers in top venues:
- Each paragraph has a clear topic sentence
- Each sentence follows logically from the previous one
- Technical terms are used consistently throughout
- Claims are appropriately hedged (
suggest,indicate,demonstratevsprove) - No filler:
It is worth noting that...→ delete and just state the fact - Active voice where appropriate, but passive voice OK for methods
Workflow
Phase 1: Assess Scope
Ask the user (or infer from context):
- Scope: entire paper, specific section, or specific paragraphs
- Level:
light(grammar only),moderate(grammar + style, default),strict(top-venue level) - Preferences: any style preferences. If unspecified, default to
moderate.
What ships with it
5 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.
- 13d ago First seen · 247 lines · 51 tokens per session scan A 06520a4dab94
latex-polish is a skill published in the GitHub repository Calix-L/awesome-latex-skills (173 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 2,584 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 2026-08-30.
Other skills, from other repositories
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn.…
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.
doc-audit
Evaluate one project document in detail — a workbook section, big picture, strategy map, handoff message, paper, brief, or primer — without editing it. Runs the mechanical lint, builds a claim ledger, types every headline against the eight claim statuses in CLAUDE.md, traces cited evidence to the scripts and logs that…
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…
sync-brief
Propagate load-bearing changes from workbook.tex to brief.tex.