Get a deep critical review of research idea from GPT via Codex MCP.

No licenceAuto-check: notesResearch & Science

Install Research Review

skills CLI
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill research-review -a claude-code

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

GitHub CLI
$ gh skill install GRIND-Lab-Core/night_owl_research_agent 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/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/idea-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
106
Used in
5 other repos
Token cost
~1.1k tokens
SKILL.md length
496 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Get a deep critical review of research idea from GPT via Codex MCP.

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

What it does

Research Review is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Get a deep critical review of research idea from GPT via Codex MCP. Use when user says "review my idea", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.

Its SKILL.md is about 1.1k 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 and MCP servers. It works with Model Context Protocol and OpenAI. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…

When your agent uses it

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

Example prompts

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

Requirements

  • Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Write, Edit, Agent, mcp__codex__codex, mcp__codex__codex-reply

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 5f7a246. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(*)
    • Read
    • Grep
    • Glob
    • Write
    • Edit
    • Agent
    • mcp__codex__codex
    • mcp__codex__codex-reply

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude

    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 1.1k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 496 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent, mcp__codex__codex, mcp__codex__codex-reply

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 496 words (~1,146 tokens).

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

— opening of SKILL.md by GRIND-Lab-Core
name
research-review
allowed-tools
Bash(*), Read, Grep, Glob, Write, Edit, Agent, mcp__codex__codex, mcp__codex__codex-reply
argument-hint
topic-or-scope

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/idea-review of GRIND-Lab-Core/night_owl_research_agent.

Open the folder on GitHubat commit 5f7a246

Used in 5 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 5 other GitHub owners. This page covers the copy in GRIND-Lab-Core/night_owl_research_agent, 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 skillGRIND-Lab-Core/night_owl_research_agent1065 repos~1.1kAutomated safety check: NotesNone
Annotate Paper54yyyu/zotero-mcp5.3k—~1.5kAutomated safety check: PassMIT
Research RefinezjYao36/Auto-Research-Refine1286 repos~6.9kAutomated safety check: NotesNone
Deep Research MCP Guidepminervini/deep-research-mcp114—~5.8kAutomated safety check: PassMIT
Research Reviewwanshuiyin/Auto-claude-code-research-in-sleep17k—~3.1kAutomated safety check: NotesMIT
Novelty CheckAI4Scientist/nano-scientist1284 repos~823Automated safety check: PassNone

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    Research & ScienceAuto-check passed
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  • Experiment Design Pipeline

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    Run an end-to-end workflow that chains the skills refine-research and experiment-design.

    106 GitHub stars~2.1k tokensUpdated 5 mo ago
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  • Generate Idea

    GRIND-Lab-Core/night_owl_research_agent

    Generate and rank research ideas given a broad direction. An agent skill from GRIND-Lab-Core/night_owl_research_agent.

    106 GitHub stars~3.2k tokensUpdated 5 mo ago
    Auto-check: warnings
  • Data Download

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  • Paper Writing Pipeline

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    106 GitHub stars~5.5k tokensUpdated 5 mo ago
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Questions about Research Review

What does Research Review do?

Get a deep critical review of research idea from GPT via Codex MCP. Research Review is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Get a deep critical review of research idea from GPT via Codex MCP.

When should I use Research Review?

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

How do I install Research Review in Claude Code?

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill research-review -a claude-code`. Or copy the skill folder (skills/idea-review in GRIND-Lab-Core/night_owl_research_agent) 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 GRIND-Lab-Core/night_owl_research_agent --skill research-review -a codex`. Or copy the skill folder (skills/idea-review in GRIND-Lab-Core/night_owl_research_agent) 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 GRIND-Lab-Core/night_owl_research_agent --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 (claude). Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Write, Edit, Agent, mcp__codex__codex, mcp__codex__codex-reply.

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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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 1.1k tokens (SKILL.md is roughly 4.6k 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: Annotate Paper (54yyyu/zotero-mcp, 5.3k stars), Research Refine (zjYao36/Auto-Research-Refine, 128 stars), Deep Research MCP Guide (pminervini/deep-research-mcp, 114 stars) and Research Review (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Review?

GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.

Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.