A structured aid for reviewing scientific manuscripts, protocols, preprints, and research proposals. It helps assess evidence, methods, statistics, reproducibility, ethics, figures, tables, and reporting guidelines.

Use it to prepare constructive peer-review drafts and organized manuscript assessments, subject to the required authorization and venue policies.

It gives reviewers a consistent way to find unsupported claims, methodological problems, and missing information while respecting confidential research.

How K-Dense-AI/claude-scientific-writer configures Claude Code

About the project

Claude Scientific Writer is an AI-assisted research and writing tool that searches literature and produces documents such as scientific papers, reports, posters, grant proposals, and reviews with citations. Researchers and technical writers can use it as a Claude Code plugin, Python package, or command-line tool, with the catalogue entries defining agent workflows for it.

K-Dense-AI/claude-scientific-writer · 2,532 stars · on GitHub · k-dense.ai

Reuse

Borrowing it

Nothing to install: this file belongs to K-Dense-AI/claude-scientific-writer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/K-Dense-AI/claude-scientific-writer/main/.claude/skills/peer-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-writer

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/claude-scientific-writer/peer-review/github.svg)](https://agentmods.dev/skills/k-dense-ai/claude-scientific-writer/peer-review)

Your own site

<a href="https://agentmods.dev/skills/k-dense-ai/claude-scientific-writer/peer-review"><img src="https://agentmods.dev/badge/skills/k-dense-ai/claude-scientific-writer/peer-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/k-dense-ai/claude-scientific-writer/peer-review"><img src="https://agentmods.dev/badge/skills/k-dense-ai/claude-scientific-writer/peer-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,595 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 94% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00066	$0.02595
Opus 5.5	$0.00026	$0.01038
Sonnet 5.5	$0.00013	$0.00519
Haiku 4.5	$0.00007	$0.00260

Measured 28d ago against content hash 3422beafc240, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

peer-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 28d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/_common.py, scripts/audit_citations.py, scripts/audit_statistics_reproducibility.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.

Origin

This is a copy

94% identical to peer-review — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/peer-review/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Peer Review

Support an accountable human reviewer with a rigorous, fair, actionable assessment. Treat every unpublished submission and review as confidential.

Mandatory safety boundary

Before reading or analyzing unpublished content:

Confirm the user is authorized by the publisher, editor, author, or other material owner.
Check the target venue’s review, confidentiality, co-review, retention, and AI/tool policies.
Record conflicts, competence limits, requested scope, and specialist-review needs.
Default to local-only processing.

If authorization is unclear, do not inspect or quote the manuscript. Ask for confirmation or use only the bundled local CLIs, whose reports do not echo manuscript text.

Never:

Send unpublished manuscript, supplement, review, or editorial text to an external service without specific publisher/author authorization and venue permission
Upload confidential content to a public model, search engine, citation service, grammar tool, plagiarism checker, or image service
Reuse content for training, benchmarking, product improvement, or unrelated research
Read broad environment state, .env files, API keys, or credentials
Call a network, LLM, or image API from bundled tools
Invoke another skill or a PDF/image pipeline automatically
Impersonate an assigned reviewer, editor, journal, funder, or author
Fabricate manuscript details, review findings, citations, analyses, experiments, reproduction, or an editorial outcome
Announce a decision that belongs to an editor or panel

Delete local copies and derivatives when policy requires; otherwise retain only what the controlling policy authorizes. Record deletion or retention without copying confidential content into the record.

Read references/ethical_review_practice.md before handling confidential material.

Human accountability

Label generated text as a working draft. The accountable human must:

Read the complete authorized submission and relevant supplements
Verify every factual statement, calculation, citation, and manuscript location
Resolve conflicts and disclose assistance as required
Rewrite comments in their own expert judgment
Submit through the authorized channel

Read the full file on GitHub · 306 lines

Files

What ships with it

23 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.

28d ago Changed · +17 lines 3422beafc240
1mo ago First seen · 289 lines · 66 tokens per session scan A fed0262d707a

Subscribe to this mod's changes

peer-review is a skill published in the GitHub repository K-Dense-AI/claude-scientific-writer (2,532 stars, last pushed 7d ago), licensed MIT. It adds 66 tokens to every session and 2,595 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to peer-review, differing in 22 lines, and is treated as a copy.

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