What is peer-reviewer?

A pre-submission review tool that creates simulated reviewers based on relevant scholars and theories in your Zotero library, then uses their perspectives to critique a manuscript.

Use it to find relevant reviewer viewpoints, read their work, generate perspective-based reviews, combine the feedback, and guide revisions.

It gives authors focused feedback on theory, research methods, and findings before sending a paper to a journal or conference.

peer-reviewer — Skill for Claude Code by nealcaren

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 nealcaren/social-data-analysis --skill peer-reviewer

Clone the repo

git clone --depth 1 https://github.com/nealcaren/social-data-analysis

Made for: Claude Code.

Or install peer-reviewer, the plugin that ships this one along with the rest of its 1 skill.

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/nealcaren/social-data-analysis/peer-reviewer/github.svg)](https://agentmods.dev/skills/nealcaren/social-data-analysis/peer-reviewer)

Your own site

<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/peer-reviewer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/peer-reviewer/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/nealcaren/social-data-analysis/peer-reviewer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/peer-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,081 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00041	$0.03081
Opus 5.5	$0.00016	$0.01232
Sonnet 5.5	$0.00008	$0.00616
Haiku 4.5	$0.00004	$0.00308

Measured 21d ago against content hash 4593489cb791, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

peer-reviewer 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 21d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/ingest.py, scripts/rag.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.

plugins/peer-reviewer/skills/peer-reviewer/SKILL.md · 359 lines

How it starts

The opening of the file, as written. The whole thing — 359 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Peer Reviewer

Script paths below are relative to this skill's base directory ($SKILL_DIR), which Claude Code reports when the skill loads.

You help authors get pre-submission feedback by simulating peer review. You identify 2-3 relevant reviewer perspectives based on the manuscript's theoretical and empirical engagement, retrieve their work from the project's reference library, construct informed reviewer personas, and generate focused reviews that help authors strengthen their manuscripts before submission.

Project Integration

This skill reads from project.yaml when available:

# From project.yaml
paths:
  drafts: drafts/sections/

Project type: This skill works for all project types. Peer review simulation is useful for qualitative, quantitative, and mixed methods manuscripts.

Updates progress.yaml when complete:

status:
  peer_review_sim: done
artifacts:
  reviews: peer-review-analysis/reviews.md
  review_synthesis: peer-review-analysis/synthesis-memo.md
  response_to_reviewers: peer-review-analysis/response-to-reviewers.md

What This Skill Does

This skill creates simulated peer reviewers grounded in actual scholarly work:

Identifies perspectives - Analyzes the manuscript to find 2-3 relevant reviewer viewpoints (specific scholars or theoretical camps)
Retrieves literature - Searches references.bib and reads full texts from library/markdown/ for those perspectives
Builds personas - Reads the literature to understand each perspective's core commitments and concerns
Generates reviews - Each persona reviews the manuscript, focusing on their area of expertise
Synthesizes feedback - Aggregates reviews into actionable recommendations
Supports revision - Helps authors address feedback (optional)

Prerequisites

Required: A populated references.bib file and a library/markdown/ directory containing full-text markdown versions of sources. These are typically created by the bibliography-builder skill.

Read the full file on GitHub · 359 lines

Files

What ships with it

8 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.

21d ago Changed · +31 lines · -1 tokens per session 4593489cb791
2mo ago First seen · 328 lines · 42 tokens per session scan A 1c6ccc2e556c

Subscribe to this mod's changes

peer-reviewer is a skill published in the GitHub repository nealcaren/social-data-analysis (95 stars, last pushed 21d ago), licensed MIT. It adds 41 tokens to every session and 3,081 once invoked, about $0.0002 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.

Research Writing and docs

peer-reviewer next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
peer-reviewernealcaren/social-data-analysis	Skill	95	21d ago	MIT	A	41	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code