latex-paper-review

latex-paper-review is a skill for Codex from Conradgui/Academic-Paper-Review-Skill. It costs 61 tokens per session (2,325 once invoked), scanned A, original, MIT.

A skill for reviewing scientific and technical papers written in LaTeX, a document format often used for research with equations and references. It checks both the source files and the technical claims they express.

In plain words
What is it for?
Use it to review LaTeX manuscripts, derivations, algorithms, citations, appendices, and cross-references. It produces a concrete LaTeX review file with technical and bounded editorial findings.
Why use it?
It helps catch incorrect equations, unclear notation, broken references, compilation problems, and unsupported conclusions before publication. It also identifies important writing and implementation ambiguities.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review LaTeX manuscripts, derivations, algorithms, citations, appendices, and cross-references. It produces a concrete LaTeX review file with technical and bounded editorial findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/conradgui/academic-paper-review-skill/latex-paper-review
Install

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.

Any agent
npx skills add Conradgui/Academic-Paper-Review-Skill --skill latex-paper-review
Clone the repo
git clone --depth 1 https://github.com/Conradgui/Academic-Paper-Review-Skill

Made for: Codex.

Wrote 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.

agentmods badge for latex-paper-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/conradgui/academic-paper-review-skill/latex-paper-review/github.svg)](https://agentmods.dev/skills/conradgui/academic-paper-review-skill/latex-paper-review)
Your own site
<a href="https://agentmods.dev/skills/conradgui/academic-paper-review-skill/latex-paper-review"><img src="https://agentmods.dev/badge/skills/conradgui/academic-paper-review-skill/latex-paper-review/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.

agentmods 80×15 button for latex-paper-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/conradgui/academic-paper-review-skill/latex-paper-review"><img src="https://agentmods.dev/badge/skills/conradgui/academic-paper-review-skill/latex-paper-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,325 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.02325
Opus 5 $0.00030 $0.01162
Sonnet 5 $0.00012 $0.00465
Haiku 4.5 $0.00006 $0.00232

Measured 12d ago against content hash eabead8938a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

latex-paper-review 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/proofing_scan.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

latex-paper-review/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LaTeX Paper Review

Overview

Produce one concrete, compileable LaTeX review file. Prioritize scientific and technical correctness over prose polish, then add bounded editorial findings that materially improve clarity or professionalism.

Default Behavior

  1. Read the full manuscript before writing findings.
  2. Use extra thinking by default, but do not narrate the reasoning process.
  3. Write a standalone LaTeX review to paper-reviews/review-YYYY-MM-DD-HHMMSS.tex, unless the user gives a different path.
  4. Match the user's requested output language; default to Simplified Chinese (简体中文) unless specified otherwise.
  5. Preserve equations, symbols, citation keys, and quoted manuscript snippets exactly when needed for technical accuracy.
  6. Do not require a fixed review template or section layout unless the user asks for one.
  7. Create a new timestamped review file by default. Only update an existing review file if the user explicitly asks.
  8. Compiling to PDF is optional unless the user asks for it or compilation is needed to validate the LaTeX.

Review Priority

Spend attention in this order:

  1. equations, derivations, notation, units, definitions, algorithms, and implementation-facing formulas
  2. consistency between claims, evidence, figures, tables, captions, appendices, and conclusions
  3. editorial quality, especially high-confidence issues that are cheap to verify and fix

Do not let editorial findings crowd out technical findings. Treat proofread, flag typos, grammar, writing quality, and similar wording as a request to spend more budget on the editorial sweep after the technical audit.

Workflow

  1. Read the manuscript to understand the main claims, evidence, equations, appendices, and structure.
  2. Build a structured internal map of the manuscript:
    • Research Question Map: Identify core research questions, primary claims, and intended contributions.
    • Construct / Variable / Parameter Map: Identify independent/dependent variables, mathematical parameters, system components, or theoretical constructs (relevant to the paper type).
    • Relationship Map: Identify hypothesized directions, logical dependencies, mathematical relationships, or system interactions.
    • Method Fit Assessment: Evaluate whether the selected research design or proof strategy logically answers the research questions, and whether conclusion boundaries match the evidence.
  3. Trace the Evidence Chain for identified claims: Check the path Claim -> Evidence -> Figure/Table -> Method -> Citation -> Appendix (if applicable) for inconsistencies, missing links, or overreaching assertions.
  4. Identify the highest-risk technical content: key equations, symbol definitions, quantitative claims, coordinate transformations, appendix formulas, and implementation-facing expressions.
  5. Perform the technical audit, checking specific methodological validity dimensions (such as selection bias, endogeneity, validity, and boundary conditions where applicable).
  6. Re-check the findings and classify them by severity and certainty before presenting.
  7. Perform a bounded editorial pass after the technical audit.
  8. Run scripts/proofing_scan.py when code execution is available; otherwise do the manual pattern scan in Final Proofing Sweep.
  9. Spot-check proofing-scan candidates before presenting them as issues.
  10. Write the review file.

Read the full file on GitHub · 180 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 180 lines · 61 tokens per session scan A eabead8938a2

Subscribe to this mod's changes

latex-paper-review is a skill published in the GitHub repository Conradgui/Academic-Paper-Review-Skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 2,325 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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