Agent skill

Research Review

by AI4Scientist in AI4Scientist/nano-scientist

Get a deep critical review of research from Claude via claude-review MCP.

No licenceAuto-check passedResearch & Science

Install Research Review

skills CLI
$ npx skills add AI4Scientist/nano-scientist --skill research-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AI4Scientist/nano-scientist research-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skills-codex-claude-review/research-review .claude/skills/research-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-review
GitHub stars
128
Used in
2 other repos
Token cost
~1.3k tokens
SKILL.md length
590 words
Files
1
Skills in repo
74
Repo updated
First seen
Licence
None found

At a glance

Get a deep critical review of research from Claude via claude-review MCP.

  • Works in 5 steps: Gather Research Context → Initial Review (Round 1) → Iterative Dialogue (Rounds 2-N) → …
  • User says review my research
  • SKILL.md covers Constants, Context: $ARGUMENTS, Prerequisites and Workflow, plus 2 more sections
  • Calls codex

What it does

Research Review is an agent skill from AI4Scientist/nano-scientist. Get a deep critical review of research from Claude via claude-review MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Hypothesis generation. It works with Model Context Protocol. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.

When your agent uses it

  • User says review my research
  • Get external review
  • Wants critical feedback on research ideas
  • Experimental results

Example prompts

  • “review my research”
  • “help me review”
  • “get external review”
  • “/research-review”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Research Context
  2. Initial Review (Round 1)
  3. Iterative Dialogue (Rounds 2-N)
  4. Convergence
  5. Document Everything

What it can do on your machine

Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Review loads about 1.3k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 590 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 590 words (~1,332 tokens).

“Get a multi-round critical review of research work from an external LLM with maximum reasoning depth.”

— opening of SKILL.md by AI4Scientist
name
research-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/skills-codex-claude-review/research-review of AI4Scientist/nano-scientist.

Open the folder on GitHubat commit 7132192

Used in 2 other repositories

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Research Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Review this skillAI4Scientist/nano-scientist1282 repos~1.3kAutomated safety check: PassNone
Research ReviewGRIND-Lab-Core/night_owl_research_agent1065 repos~1.1kAutomated safety check: NotesNone
Research RefinezjYao36/Auto-Research-Refine1286 repos~6.9kAutomated safety check: NotesNone
Research Reviewwanshuiyin/Auto-claude-code-research-in-sleep17k—~3.1kAutomated safety check: NotesMIT
Research Coordinatorbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.2kAutomated safety check: PassCustom licence
Novelty CheckGRIND-Lab-Core/night_owl_research_agent106—~1kAutomated safety check: PassNone

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Questions about Research Review

What does Research Review do?

Get a deep critical review of research from Claude via claude-review MCP. Research Review is an agent skill from AI4Scientist/nano-scientist. Get a deep critical review of research from Claude via claude-review MCP.

When should I use Research Review?

Research Review fits situations like: user says review my research; get external review; wants critical feedback on research ideas; experimental results.

How do I install Research Review in Claude Code?

Run `npx skills add AI4Scientist/nano-scientist --skill research-review -a claude-code`. Or copy the skill folder (skills/skills-codex-claude-review/research-review in AI4Scientist/nano-scientist) into .claude/skills/research-review in your project. Claude Code loads it when a task matches its description.

How do I install Research Review in Codex?

Run `npx skills add AI4Scientist/nano-scientist --skill research-review -a codex`. Or copy the skill folder (skills/skills-codex-claude-review/research-review in AI4Scientist/nano-scientist) into .agents/skills/research-review in your project. Codex loads it when a task matches its description.

Can I use Research Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AI4Scientist/nano-scientist --skill research-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-review, .gemini/skills/research-review, .github/skills/research-review and .opencode/skills/research-review in your project.

What does Research Review need to run?

Going by SKILL.md and its folder, Research Review needs the command-line tools its instructions call (codex). Our summary lists: Python 3.

Does Research Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Review use?

No licence was found for Research Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Research Review use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Review?

Skills that share tags, products or a category with Research Review: Research Review (GRIND-Lab-Core/night_owl_research_agent, 106 stars), Research Refine (zjYao36/Auto-Research-Refine, 128 stars), Research Review (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars) and Research Coordinator (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Review?

AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.

Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.