Paper Review

Community

neuromechanist

paper-review

Use this skill for "review this paper", "review this manuscript", "peer review", "review my paper", "critique this manuscript", "review this submission", "give me feedback on my paper", "check my methods", "review my statistics", "review as a peer reviewer", "evaluate this manuscript", "review this PDF", or mentions manuscript review, peer review, paper critique, or methodological review.

Overview

Publisher	neuromechanist
Repository	`research-skills`
Skill name	`paper-review`
Stars	51
Forks	9
Bundled files	8
License	BSD-3-Clause
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
8 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by neuromechanist on GitHub. Read the source before you install it.

Installation

Install the Paper Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/neuromechanist/research-skills/tree/main/plugins/manuscript/skills/paper-review
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/neuromechanist/research-skills/tree/main/plugins/manuscript/skills/paper-review

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/neuromechanist/research-skills.git /tmp/research-skills
mkdir -p .claude/skills
cp -r /tmp/research-skills/plugins/manuscript/skills/paper-review .claude/skills/paper-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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: Agent(subagent_type: "manuscript:paper-review", ...) passing the manuscript path, target journal/type, and mode. For panel mode, issue one Agent call per lens in a single message so they run in parallel, then a final synthesis Agent call.
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.

The brain (do not duplicate into dispatch or agent shells)

references/review-procedure.md -- step-by-step procedure: intake, read, methodology, logic, literature, reproducibility, figures, writing, output.
references/methodology-checklist.md, references/statistical-review-guide.md, references/figure-review-guide.md -- the assessment checklists and guides.
references/review-principles.md -- review philosophy and severity calibration.
references/review-output-template.md -- the Synopsis / Critical / Major / Minor / References / Editor Note format.
examples/sample-manuscript-review.md -- worked review for calibration; examples/sample-manuscript-excerpt.md -- sample manuscript input for testing.
Sister skill manuscript:humanizer (invoke through the host's skill-invocation mechanism) -- AI-writing patterns to flag in the prose-quality pass.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paper Review AI skill do?

Why use Paper Review on TypingMind?

Because you install it once and use it with any model. Paper Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/neuromechanist/research-skills/tree/main/plugins/manuscript/skills/paper-review. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paper Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Review?

As many as you like. As long as a model supports skills, you can use Paper Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Review AI skill free?

Yes. It is published on GitHub by neuromechanist under the BSD-3-Clause license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Academic Manuscript Review

When to use

Why a fresh-context reviewer

Modes (user decides each run)

Dispatch

The brain (do not duplicate into dispatch or agent shells)

Bundled files

Frequently asked questions

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