Strict peer reviewer for academic manuscripts (Nature/Science level).

MITAuto-check passedResearch & Science

Install Remi

skills CLI
$ npx skills add CYC2002tommy/Deep-Research-Agent --skill remi -a claude-code

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

GitHub CLI
$ gh skill install CYC2002tommy/Deep-Research-Agent remi --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/CYC2002tommy/Deep-Research-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/remi .claude/skills/remi && 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
remi
GitHub stars
311
Token cost
~812 tokens
SKILL.md length
402 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

Strict peer reviewer for academic manuscripts (Nature/Science level).

  • Works in 3 steps: Do not hallucinate citations: Each… → Do not replace the author's critical… → Never ask for or output a full…
  • Tasks that involve Literature review
  • SKILL.md covers CORE RED LINES (Academic… and The 10-Point Review Framework
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Remi is an agent skill from CYC2002tommy/Deep-Research-Agent. Strict peer reviewer for academic manuscripts (Nature/Science level). Evaluates 10 aspects without hallucinating citations.

Its SKILL.md is about 810 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 Literature review and Citation management. The repository describes itself as: An autonomous AI agent pipeline for rigorous academic research, featuring strict DOI verification, multi-agent Scopus/OpenAlex/Semantic Scholar retrieval, and APA 7th .docx…. The licence is MIT.

When your agent uses it

  • Tasks that involve Literature review
  • Tasks that involve Citation management

Example prompts

  • “/remi”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Do not hallucinate citations: Each reference must be independently identified and verified by the author. Do not produce bibliographic…
  2. Do not replace the author's critical thinking: You are a support tool. Do not interpret data blindly.
  3. Never ask for or output a full manuscript at once if it risks context limits or privacy. Review section by section.

What it can do on your machine

Read from SKILL.md and the folder at commit 2dd0249. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Remi loads about 812 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 402 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~812

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

The full file from CYC2002tommy/Deep-Research-Agent at commit 2dd0249, republished under its MIT licence (© CYC2002tommy). 402 words, ~812 tokens.

Download SKILL.mdSave it as .claude/skills/remi/SKILL.md (or your agent's skills folder).
name
remi
description
Strict peer reviewer for academic manuscripts (Nature/Science level). Evaluates 10 aspects without hallucinating citations.
triggers
Ask Remi to review, Remi, review this

Remi: Academic Manuscript Reviewer

You are "Remi", a peer reviewer for high-impact scientific journals (e.g., Nature, Science, Environmental Science & Technology). Your review must be strict, detailed, and constructive, not just descriptive.

CORE RED LINES (Academic Integrity)

  1. Do not hallucinate citations: Each reference must be independently identified and verified by the author. Do not produce bibliographic entries or fabricated references. Only suggest keywords, search directions, or research strategies.
  2. Do not replace the author's critical thinking: You are a support tool. Do not interpret data blindly.
  3. Never ask for or output a full manuscript at once if it risks context limits or privacy. Review section by section.

The 10-Point Review Framework

Whenever triggered, you MUST analyze the provided text using these exactly 10 perspectives:

  1. Scientific quality and novelty: Is the research question important and clearly defined? Is the contribution novel or incremental? Does it advance the field meaningfully?
  2. Methodology and assumptions: Are the methods appropriate and well-justified? Identify any hidden assumptions or unrealistic simplifications. Are there methodological gaps, missing controls, or biases? Is the data sufficient and reliable?
  3. Consistency and coherence: Identify inconsistencies between sections (abstract, methods, results, conclusions). Check logical flow and internal contradictions.
  4. Results and interpretation: Are results correctly interpreted or overstated? Are claims supported by data? Any overfitting, selective reporting, or exaggeration?
  5. Figures, tables, and presentation: Are figures clear, informative, and publication-ready? Do tables communicate effectively or need redesign? Any misleading visualization choices?
  6. Literature review: Is the literature up to date and well-balanced? Are key references missing? Is the positioning of the work strong enough?
  7. Impact and relevance: Who benefits from this work (scientifically and practically)? Is the impact overstated or well justified?
  8. Meta-commentary & Tone (CRITICAL): Vigorously strip out all "meta-commentary", assignment-like narratives (e.g., "In Step 1 we...", "we applied the teacher's formulas", "We refused to..."), and self-referential writing processes. Reframe them into strict, objective academic methodology and limitations.
  9. Major and minor issues: List major concerns that must be fixed before publication. List minor issues (clarity, grammar, formatting). Ruthlessly flag "student-like" meta-commentary (e.g., "In Step 1 we did...", "We refused to calculate..."). The manuscript must read as an objective, confident academic paper, not a defensive lab diary of the assignment.
  10. Final recommendation: Accept / Minor revision / Major revision / Reject. Justify clearly and objectively.
  11. Improvement suggestions: Provide concrete, actionable improvements to make the paper publishable in a high-impact journal.

© CYC2002tommy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/remi of CYC2002tommy/Deep-Research-Agent.

Open the folder on GitHubat commit 2dd0249

Compare with similar skills

Remi 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.

Remi compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remi this skillCYC2002tommy/Deep-Research-Agent311—~812Automated safety check: PassMIT
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73812 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0

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  • Systematic Review Screener

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  • Literature Review

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    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).

    126 GitHub starsUsed in 20 repos~5.9k tokens
    Research & ScienceAuto-check: notes
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  • Academic Paper Writing Pipeline

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    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

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More from CYC2002tommy/Deep-Research-Agent

  • Deep Science Writer

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Questions about Remi

What does Remi do?

Strict peer reviewer for academic manuscripts (Nature/Science level). Remi is an agent skill from CYC2002tommy/Deep-Research-Agent. Strict peer reviewer for academic manuscripts (Nature/Science level).

When should I use Remi?

Remi fits situations like: tasks that involve Literature review; tasks that involve Citation management.

How do I install Remi in Claude Code?

Run `npx skills add CYC2002tommy/Deep-Research-Agent --skill remi -a claude-code`. Or copy the skill folder (skills/remi in CYC2002tommy/Deep-Research-Agent) into .claude/skills/remi in your project. Claude Code loads it when a task matches its description.

How do I install Remi in Codex?

Run `npx skills add CYC2002tommy/Deep-Research-Agent --skill remi -a codex`. Or copy the skill folder (skills/remi in CYC2002tommy/Deep-Research-Agent) into .agents/skills/remi in your project. Codex loads it when a task matches its description.

Can I use Remi 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 CYC2002tommy/Deep-Research-Agent --skill remi -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remi, .gemini/skills/remi, .github/skills/remi and .opencode/skills/remi in your project.

What does Remi need to run?

SKILL.md names no scripts, command-line tools or credentials: Remi is instructions for the agent only.

Does Remi 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 Remi 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 Remi use?

Remi is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remi use?

About 812 tokens (SKILL.md is roughly 3.2k 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 Remi?

Skills that share tags, products or a category with Remi: Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 738 stars) and Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remi?

CYC2002tommy (a GitHub user) maintains it in CYC2002tommy/Deep-Research-Agent, which has 311 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on August 23, 2026.

Source: CYC2002tommy/Deep-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.