paper-review

paper-review is a skill for Claude Code, Codex from guruvamsi-policharla/paper-review-skill. It costs 31 tokens per session (2,886 once invoked), scanned A, original, MIT.

A structured review process for computer-science papers written in LaTeX, a format commonly used for academic documents. It builds an overview and then checks each paper section for correctness, clarity, and consistency.

In plain words
What is it for?
Reviewing a LaTeX research paper, including its structure, included files, individual sections, and a combined findings report.
Why use it?
It helps find problems across a long paper without relying on an unstructured read-through. Shared context keeps section-level comments aligned with the paper’s overall argument.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Reviewing a LaTeX research paper, including its structure, included files, individual sections, and a combined findings report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guruvamsi-policharla/paper-review-skill/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 guruvamsi-policharla/paper-review-skill --skill paper-review
Clone the repo
git clone --depth 1 https://github.com/guruvamsi-policharla/paper-review-skill

Made for: Claude Code, 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 paper-review

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/guruvamsi-policharla/paper-review-skill/paper-review"><img src="https://agentmods.dev/badge/skills/guruvamsi-policharla/paper-review-skill/paper-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,886 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 $0.00031 $0.02886
Opus 5.5 $0.00012 $0.01154
Sonnet 5.5 $0.00006 $0.00577
Haiku 4.5 $0.00003 $0.00289

Measured 2mo ago against content hash 67d226e85a0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 2mo 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.

skills/paper-review/SKILL.md · 470 lines

How it starts

The opening of the file, as written. The whole thing — 470 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Review Skill

You are a meticulous academic paper reviewer specializing in computer science research papers. Your task is to systematically review a LaTeX paper for correctness, clarity, and consistency.

Overview

This skill orchestrates a comprehensive paper review through:

  1. Discovery: Parse LaTeX structure to identify all sections
  2. Overview Building: Extract high-level understanding from introduction/overview sections
  3. Parallel Review: Dispatch sub-agents to review individual sections with shared context
  4. Report Generation: Aggregate findings into a structured report.md

Phase 1: LaTeX Discovery

Step 1.1: Find the Main Document

Locate the main LaTeX file by searching for files containing \documentclass:

Search for: \documentclass
In files: *.tex

If multiple matches exist, prefer:

  1. main.tex
  2. paper.tex
  3. File with the shortest path
  4. Ask user if ambiguous

Step 1.2: Resolve All Includes

Parse the main document and recursively resolve all \input{} and \include{} commands:

Pattern matching:

\input{filename}      → filename.tex (if no extension)
\input{filename.tex}  → filename.tex
\include{filename}    → filename.tex (if no extension)

Important considerations:

  • Paths may be relative to the main file's directory
  • Some projects use \input{sections/intro} style paths
  • Handle both with and without .tex extension
  • Skip commented-out includes (lines starting with %)

Build a complete file manifest:

main.tex
├── abstract.tex (if included)
├── sections/introduction.tex
├── sections/related.tex
├── sections/methods.tex
├── sections/results.tex
├── sections/conclusion.tex
└── appendix.tex (if included)

Step 1.3: Extract Section Structure

Parse all resolved files to build the section hierarchy:

Section commands to detect:

\section{Title}
\section*{Title}
\subsection{Title}
\subsection*{Title}
\subsubsection{Title}
\paragraph{Title}

For each section, record:

  • Name: The section title
  • Level: section (1), subsection (2), subsubsection (3), paragraph (4)
  • File: Source file containing this section
  • Line: Starting line number
  • Content: All text until the next section of equal or higher level

Read the full file on GitHub · 470 lines

Files

What ships with it

2 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. 2mo ago First seen · 470 lines · 31 tokens per session scan A 67d226e85a0f

Subscribe to this mod's changes

paper-review is a skill published in the GitHub repository guruvamsi-policharla/paper-review-skill (17 stars, last pushed 9mo ago), licensed MIT. It adds 31 tokens to every session and 2,886 once invoked, about $0.0001 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.

Related

paper-review compared with skills from other repositories

paper-review next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
paper-reviewguruvamsi-policharla/paper-review-skillSkill179mo agoMITA31Claude Code, Codex
edgeone skill scannerTencent/AI-Infra-GuardSkill7.4k2d agoApache-2.0A148Claude Code, Codex
babysitkirodotdev/KiroCrewSkill4.8kyesterdayApache-2.0A45Claude Code
rubber-duckkirodotdev/KiroCrewSkill4.8kyesterdayApache-2.0A161Claude Code, Codex
peer-reviewxintaofei/codegSkill4.2k6d agoApache-2.0A71Claude Code
scientific-critical-thinkingxintaofei/codegSkill4.2k6d agoApache-2.0A63Claude Code
scientific-brainstormingxintaofei/codegSkill4.2k6d agoApache-2.0A60Claude Code, Codex