paper-review

paper-review is a skill for Claude Code, Codex from CamusGIT/EvoQuant. It costs 152 tokens per session (2,222 once invoked), scanned A, original, Apache-2.0.

A structured self-review guide for an academic paper before submission. It checks the paper’s contribution, clarity, results, testing, methods, figures, tables, and likely reviewer objections; bioRxiv, for example, is a preprint server where researchers share papers before formal peer review.

In plain words
What is it for?
Use it to review a draft, test whether its evidence supports its claims, improve figures and organization, and prepare responses to likely criticism. It applies before submission, not when writing a rebuttal to comments already received.
Why use it?
Authors often overlook unsupported claims, unclear structure, or weaknesses that reviewers may notice. The guide provides an adversarial check before the paper is submitted.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/camusgit/evoquant/paper-review
Any agent
npx skills add CamusGIT/EvoQuant --skill paper-review
Clone the repo
git clone --depth 1 https://github.com/CamusGIT/EvoQuant

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/camusgit/evoquant/paper-review.svg)](https://agentmods.dev/skills/camusgit/evoquant/paper-review)
Your own site
<a href="https://agentmods.dev/skills/camusgit/evoquant/paper-review"><img src="https://agentmods.dev/badge/skills/camusgit/evoquant/paper-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,222 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00152 $0.02222
Opus 5 $0.00076 $0.01111
Sonnet 5 $0.00030 $0.00444
Haiku 4.5 $0.00015 $0.00222

Measured 4d ago against content hash d8333bdd1177, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

EvoQuant/skills/paper-review/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Review

A systematic approach to self-reviewing academic papers before submission. Covers a 5-aspect review checklist, reverse-outlining for structural clarity, figure/table quality checks, and rebuttal preparation.

When to Use This Skill

  • User wants to review or check a paper draft before submission
  • User asks for feedback on paper quality or completeness
  • User wants to prepare for potential reviewer criticism
  • User mentions "review paper", "check my draft", "self-review"

If the user has already received reviewer comments and needs to write a rebuttal, use the paper-rebuttal skill instead.

Prerequisites

Before starting review, confirm the paper-writing handoff checklist is satisfied: all sections drafted, claims anchored to evidence, limitation section present, figures finalized, and no unresolved \todo{} markers. If any item is incomplete, finish writing before reviewing.


The Perfectionist Approach

Strive for perfection: review your own paper, consider every question a reviewer might ask, and address them one by one.

The best defense against negative reviews is a thorough self-review:

  1. Adversarial review: Read your own paper as a critical reviewer would
  2. Seek advisor feedback: Ask your advisor to review — the more feedback, the better
  3. Address everything: For every potential weakness you find, either fix it or prepare a defense

Counterintuitive Review Protocol

Run this protocol before final polishing:

  1. Reject-first simulation: Force yourself to write a one-paragraph reject summary before writing any positive comments.
  2. Delete one unsupported strong claim: If a strong claim lacks direct evidence, remove it instead of defending it.
  3. Score trust, not only score gains: Papers with slightly lower gains but higher fairness and reproducibility often receive better review outcomes.
  4. Promote one explicit limitation: Move one meaningful limitation from hidden notes into the paper; transparency can increase confidence.
  5. Attack your novelty claim: Ask "Could a strong PhD derive this in one afternoon?" If yes, narrow and sharpen the novelty statement.

Read the full file on GitHub · 209 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. 4d ago First seen · 209 lines · 152 tokens per session scan A d8333bdd1177

Subscribe to this mod's changes

paper-review is a skill published in the GitHub repository CamusGIT/EvoQuant (215 stars, last pushed 18d ago), licensed Apache-2.0. It adds 152 tokens to every session and 2,222 once invoked, about $0.0008 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.

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