review-paper

review-paper is a skill for Claude Code from pedrohcgs/Claude-Mini. It costs 102 tokens per session (4,617 once invoked), scanned A, original, MIT.

An academic manuscript review tool that produces a detailed report on a research paper. It can also simulate journal peer review, including editor and referee decisions.

In plain words
What is it for?
Use it with a `.tex`, `.pdf`, `.qmd`, or supported document filename. Choose a standard review, an adversarial critic-and-fixer loop, or a journal-specific peer-review simulation.
Why use it?
It helps authors find weaknesses and improve a manuscript before submission or after receiving a revise-and-resubmit decision. Different modes provide either a standard review or a more demanding critique.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Already received referee comments?** Use [`/respond-to-referees`](../respond-to-referees/SKILL.md) instead. That skill cross-references each referee concern a.

Good fit Use it with a .tex, .pdf, .qmd, or supported document filename. Choose a standard review, an adversarial critic-and-fixer loop, or a journal-specific peer-review simulation.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/pedrohcgs/Claude-Mini
agentmods
npx agentmods add skills/pedrohcgs/claude-mini/review-paper

Made for: Claude Code.

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 review-paper

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/pedrohcgs/claude-mini/review-paper"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-mini/review-paper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,617 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 $0.00102 $0.04617
Opus 5 $0.00051 $0.02308
Sonnet 5 $0.00020 $0.00923
Haiku 4.5 $0.00010 $0.00462

Measured 12d ago against content hash 00b8bcd38760, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-paper 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.

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.

.claude/skills/review-paper/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manuscript Review

Produce a thorough, constructive review of an academic manuscript — the kind of report a top-journal referee would write.

Which review skill do I want?

  • /review-paper (this skill) — single comprehensive report, optional --adversarial critic-fixer loop, or --peer <journal> simulated peer-review pipeline. Best for most drafts.
  • /seven-pass-review — seven independent lenses in parallel (abstract, intro, methods, results, robustness, prose, citations) then synthesized. Heavier (7× token cost). Best for submission-ready drafts or R&R stage where you need maximum coverage.
  • /respond-to-referees — if you already have referee comments and need a response document, not another review.
  • /slide-excellence — for lecture slides, not papers.

Input: $ARGUMENTS — path to a paper (.tex, .pdf, or .qmd), or a filename in master_supporting_docs/. Optional flags:

  • --adversarial — critic-fixer loop (max 5 rounds).
  • --peer <JOURNAL> — simulated peer review pipeline calibrated to <JOURNAL> (see .claude/references/journal-profiles.md for available short names).
  • --r2 / --r3 — R&R continuation mode (requires --peer). Reloads prior round, classifies concerns Resolved / Partial / Not addressed.
  • --stress — hostile-editor stress test (requires --peer). Forces SKEPTIC dispositions, doubles critical peeves.
  • --no-novelty-check — skip editor's WebSearch novelty probe (default is ON).
  • --no-cross-artifact — skip auto-invocation of /review-r + /audit-reproducibility on referenced scripts.

Already received referee comments? Use /respond-to-referees instead. That skill cross-references each referee concern against the revised manuscript and drafts a complete response document.


Modes

Default mode (single-pass)

One comprehensive review report. Fast, low token cost, suitable for early drafts where the author wants feedback and will iterate manually.

Read the full file on GitHub · 400 lines

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 · 400 lines · 0 tokens per session scan A 00b8bcd38760

Subscribe to this mod's changes

review-paper is a skill published in the GitHub repository pedrohcgs/Claude-Mini (11 stars, last pushed 4mo ago), licensed MIT. It adds 102 tokens to every session and 4,617 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens