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 | $0.00045 | $0.00802 |
| Opus 5.5 | $0.00018 | $0.00321 |
| Sonnet 5.5 | $0.00009 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
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 20d 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.
Scope and intensity
Edit the requested text, section, or manuscript. Infer scope from the request;
ask only when a missing preference changes the work. Default to moderate.
| Level | Editing scope |
|---|---|
light |
Grammar, spelling, articles, agreement, and necessary syntax fixes. |
moderate |
Light edits plus clearer phrasing, concision, and sentence flow. |
strict |
Moderate edits plus stronger paragraph organization within the requested scope. |
No level authorizes changing findings, adding evidence, or making a paper "publication ready" by declaration. Use the author's chosen English variant, terminology, and venue requirements when supplied.
Preserve meaning and source structure
- Preserve numbers, units, uncertainty, causal direction, comparisons, named entities, and the distinction between relative percentages and percentage points.
- Keep modality and scope:
can,may,suggests, andunder these conditionsmay carry scientific meaning. Removing them can turn a capability into an observed result or a qualified claim into a universal claim. - Do not add significance tests, p-values, citations, mechanisms, novelty, or broader-impact claims. Flag missing evidence for the author instead.
- Preserve citation/reference/label keys, bibliography records, equations, macro definitions, file paths, comments, and quoted material. Treat LaTeX arguments by their role, not by a blanket regular-expression replacement.
- Prose inside
\emph{},\textbf{}, headings, or captions may be edited when it falls within scope; retain the command, options, braces, keys, and math. Leave verbatim, listings, minted, and inline code untouched. - Keep an already clear sentence. Formality does not require heavier synonyms, and sentence length alone is not a reason to split it.
Edit with relevant guidance
Read supporting material only as needed:
- Style guardrails: voice, clarity, notation, consistency, and claim strength. These are editing choices, not universal laws.
- Section anatomy: section-specific purposes; adapt to the article type and the verified target requirements.
- Chinglish patterns: common constructions when they actually occur; do not infer errors from the author's identity.
- Academic phrasebank: optional phrasing patterns. Fill only with claims already supported by the manuscript.
What ships with it
6 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.
- 20d ago Changed 3d2a8b5dad92
- 22d ago Changed b37348455418
- 23d ago Changed 697e675d17d6
- 24d ago Changed 6e1c9e93b74f
- 25d ago Changed · -175 lines · -6 tokens per session 2e408f32ec6c
- 1mo 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 (184 stars, last pushed 20d ago), licensed MIT. It adds 45 tokens to every session and 802 once invoked, about $0.0002 per session on Opus 5.5. 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.
paper-skill
End-to-end, Chinese-first academic research and publication workflow for reading papers, literature reviews, research framing, manuscript planning and writing, Chinese-English translation, LaTeX, figures, citation verification, reporting-guideline checks, journal selection, peer review, rebuttals, revisions, and…
anonymize-paper
Deep anonymization sweep for double-blind paper submissions, plus clean de-anonymization for camera-ready. Use when a researcher says "anonymize my paper", "double-blind check", "blind this submission", "remove author names", "did I leak my identity" — or, after acceptance, "de-anonymize" / "restore authors for…
fetch-paper
Fetches a legal open-access copy of a paper from its DOI or arXiv ID — resolves through Unpaywall, arXiv PDF/HTML, and the open-access ACM Digital Library. Use when the user wants to fetch, download, read, or get the PDF or full text of a specific paper. Single polite fetch, transient processing only: it never stores…