What is paper-review?

A peer-review procedure for evaluating a research paper or preprint's methods, statistics, reasoning, and reproducibility.

Use it to obtain structured feedback on a manuscript, conference paper, or preprint, including checks of methods, data analysis, logic, and figures.

An independent review can reveal flaws or unclear claims that the author may overlook.

paper-review — Skill for Claude Code and Codex by neuromechanist

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code

/plugin marketplace add neuromechanist/research-skills

Claude Code

/plugin install manuscript

Made for: Claude Code, Codex.

Or install manuscript, the plugin that ships this one along with the rest of its 5 skills, 1 agent.

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/neuromechanist/research-skills/paper-review/github.svg)](https://agentmods.dev/skills/neuromechanist/research-skills/paper-review)

Your own site

<a href="https://agentmods.dev/skills/neuromechanist/research-skills/paper-review"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/neuromechanist/research-skills/paper-review"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/paper-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,010 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.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.01010
Opus 5	$0.00044	$0.00505
Sonnet 5	$0.00017	$0.00202
Haiku 4.5	$0.00009	$0.00101

Measured 12d ago against content hash 3e189091a15d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 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.

plugins/manuscript/skills/paper-review/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Manuscript Review

Routes a manuscript to an independent, fresh-context reviewer that evaluates it for methodological soundness, statistical validity, logical consistency, and reproducibility, and returns a structured peer review. This skill is a thin dispatcher: it decides how to run the reviewer and in which mode. The review procedure, checklists, statistical and figure guides, principles, and output template all live in references/ and are loaded by the reviewer, not duplicated here.

When to use

Activate when the user wants peer-review feedback on a manuscript (journal article, conference paper, preprint).

Why a fresh-context reviewer

Review validity depends on independence: a reviewer that shares the conversation that produced the manuscript is biased toward it. Run the reviewer in a separate context and pass only framing (manuscript path, target journal, manuscript type, revision status), never the authoring rationale. This is why the reviewer is a subagent on tools that support one, and an inline procedure where they do not.

Modes (user decides each run)

Single (default): one independent reviewer applies the full procedure end to end.
Panel (opt-in): spawn independent reviewers in parallel on complementary lenses, then a synthesis pass. Trigger on "review panel", "multiple reviewers", or an explicit request. Lenses: methods/design, statistics, and novelty/significance (add reproducibility for methods-heavy or hardware papers). Each reviewer reads the whole manuscript but weights its lens and scores independently from references/; a final synthesis pass merges them into one Critical/Major/Minor review and surfaces genuine disagreement rather than averaging it away.

Dispatch

Pick the branch for the current tool. In every branch the reviewer follows references/review-procedure.md.

Claude Code: Task(subagent_type: "paper-review", ...) passing the manuscript path, target journal/type, and mode. For panel mode, launch one Task per lens in parallel, then a final synthesis Task.
Codex CLI: plugin installation exposes this skill, not a Codex subagent. To use a fresh-context Codex reviewer, first copy agents/templates/paper-review.toml to ~/.codex/agents/ or .codex/agents/, then invoke that configured agent if the current Codex surface supports /agent. For panel mode, ensure max_threads covers the lens count. If no Codex subagent is configured or available, use the fallback branch.
Copilot CLI: plugin installation exposes this skill and, through .github/plugin/plugin.json, the .agent.md reviewer in agents/templates/. Invoke that configured agent when the current Copilot surface supports custom agents; use /fleet for panel mode when available. If running outside a plugin install, copy agents/templates/paper-review.agent.md to .github/agents/ or ~/.copilot/agents/. If no custom agent is available, use the fallback branch.
Fallback (no subagent support, or the user wants an interactive in-thread review): first locate the rubric ($CLAUDE_PLUGIN_ROOT/skills/paper-review/references, else find . -type d -path '*/skills/paper-review/references' | head -1); if it cannot be found, stop and tell the user to install the manuscript plugin rather than reviewing from memory. Then follow references/review-procedure.md directly in this context.

Read the full file on GitHub · 41 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.

12d ago First seen · 41 lines · 87 tokens per session scan A 3e189091a15d

Subscribe to this mod's changes

paper-review is a skill published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 9d ago), licensed BSD-3-Clause. It adds 87 tokens to every session and 1,010 once invoked, about $0.0004 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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