Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback.
Install Sci Review
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sci-review .claude/skills/sci-review && rm -rf skills-srcUse ~/.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/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .claude/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sci-review .agents/skills/sci-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .agents/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sci-review .cursor/skills/sci-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .cursor/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ShZhao27208/Aut_Sci_Write.git --path skills/sci-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sci-review .gemini/skills/sci-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .gemini/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sci-review .github/skills/sci-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .github/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ShZhao27208/Aut_Sci_Write sci-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ShZhao27208/Aut_Sci_Write.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sci-review .opencode/skills/sci-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sci-review" agent skill from https://github.com/ShZhao27208/Aut_Sci_Write/tree/main/skills/sci-review into .opencode/skills/sci-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sci-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sci-review- GitHub stars
- 209
- Token cost
- ~673 tokens
- SKILL.md length
- 240 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback.
- Works in 4 steps: Introduction: background, problem… → Methodology: taxonomy, method classes,… → Challenges: phenomenon, cause, and… → …
- Literature review outlines
- SKILL.md covers Literature Review Structure, Rebuttal Structure, Validation and Best Practices
- Runs Python scripts from its folder; calls python
What it does
Sci Review is an agent skill from ShZhao27208/Aut_Sci_Write. Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback. Use this skill for literature review outlines, research-gap synthesis, reviewer rebuttals, response letters, and academic writing tone repair.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `_meta.json`, `references/rebuttal-guide.md` and `references/section-guide.md`).
It sits in Research & Science, covering Literature review. The repository describes itself as: Academic research skills suite for AI Agent — literature search/download (WoS+Elsevier+Springer), PDF extraction, figure cropping, review writing, Zotero sync, and PPT/Html… The licence is MIT.
When your agent uses it
- Literature review outlines
- Research-gap synthesis
- Reviewer rebuttals
- Response letters
Example prompts
- “/sci-review”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Introduction: background, problem definition, gap identification, and contribution.
- Methodology: taxonomy, method classes, comparison dimensions, and performance evidence.
- Challenges: phenomenon, cause, and direction. Make the problem visible before proposing a route forward.
- Conclusion: distilled insights and a future roadmap.
What it can do on your machine
Read from SKILL.md and the folder at commit 357766f. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Sci Review loads about 673 tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 240 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from ShZhao27208/Aut_Sci_Write at commit 357766f, republished under its MIT licence (© ShZhao27208). 240 words, ~673 tokens.
Download SKILL.mdSave it as
.claude/skills/sci-review/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- sci-review
- description
- Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback. Use this skill for literature review outlines, research-gap synthesis, reviewer rebuttals, response letters, and academic writing tone repair.
- author
- Shuo Zhao
- license
- MIT
- copyright
- Copyright 2026 Shuo Zhao. All rights reserved.
- triggers
- literature review, respond to reviewers, rebuttal, research gap, paper writing, refine abstract
Sci-Review
Use this skill to produce structured literature-review writing and professional reviewer responses.
Literature Review Structure
Use this four-part structure unless the user requests a different journal format:
- Introduction: background, problem definition, gap identification, and contribution.
- Methodology: taxonomy, method classes, comparison dimensions, and performance evidence.
- Challenges: phenomenon, cause, and direction. Make the problem visible before proposing a route forward.
- Conclusion: distilled insights and a future roadmap.
Prefer specific evidence over broad claims. Replace vague phrases such as "significantly better" with measured comparisons when data is available.
Rebuttal Structure
For each reviewer point, use:
- Reviewer concern: restate the concern accurately and neutrally.
- Response: answer with evidence, clarification, or a limitation acknowledgement.
- Revision plan: state the exact manuscript change, including section, table, figure, appendix, or experiment when possible.
Avoid adversarial phrasing such as "reviewer misunderstood" or "the reviewer is wrong". Use constructive language such as "we will clarify this point in the manuscript" or "we agree that additional evidence would improve the presentation".
Validation
The skill includes a lightweight validator. Run from the skills/sci-review/ directory:
# From the skills/sci-review/ directory:
python scripts/validate_review_output.py --case literature-review --output output.md
python scripts/validate_review_output.py --case rebuttal --output output.md
python scripts/validate_review_output.py --list-goldenThe validator checks required section names and banned phrases. Golden cases live in tests/golden_cases.json; they define expected output features rather than exact wording.
Best Practices
- Read the source literature, reviewer comments, or draft before rewriting.
- Preserve technical nuance. Do not invent experiments, results, baselines, or citations.
- Mark uncertainty explicitly when source evidence is missing.
- Keep tone professional, direct, and evidence-driven.
© ShZhao27208, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references) in skills/sci-review of ShZhao27208/Aut_Sci_Write.
- SKILL.md
- _meta.json
- references/rebuttal-guide.md
- references/section-guide.md
- references/word-choice.md
- scripts/validate_review_output.py
- templates/literature-review-template.md
- templates/rebuttal-template.md
- tests/golden_cases.json
Open the folder on GitHubat commit 357766f
Compare with similar skills
Sci 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sci Review this skillShZhao27208/Aut_Sci_Write | 209 | — | ~673 | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence |
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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.).
Preprint Search on bioRxiv
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Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
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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Categories
Questions about Sci Review
What does Sci Review do?
Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback. Sci Review is an agent skill from ShZhao27208/Aut_Sci_Write. Specialized workflows for drafting, refining, and responding to academic literature reviews and peer review feedback.
When should I use Sci Review?
Sci Review fits situations like: literature review outlines; research-gap synthesis; reviewer rebuttals; response letters.
How do I install Sci Review in Claude Code?
Run `npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a claude-code`. Or copy the skill folder (skills/sci-review in ShZhao27208/Aut_Sci_Write) into .claude/skills/sci-review in your project. Claude Code loads it when a task matches its description.
How do I install Sci Review in Codex?
Run `npx skills add ShZhao27208/Aut_Sci_Write --skill sci-review -a codex`. Or copy the skill folder (skills/sci-review in ShZhao27208/Aut_Sci_Write) into .agents/skills/sci-review in your project. Codex loads it when a task matches its description.
Can I use Sci 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 ShZhao27208/Aut_Sci_Write --skill sci-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/sci-review, .gemini/skills/sci-review, .github/skills/sci-review and .opencode/skills/sci-review in your project.
What does Sci Review need to run?
Going by SKILL.md and its folder, Sci Review needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Sci 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 Sci 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sci Review use?
Sci Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sci Review use?
About 673 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.
What are the alternatives to Sci Review?
Skills that share tags, products or a category with Sci Review: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sci Review?
ShZhao27208 (a GitHub user) maintains it in ShZhao27208/Aut_Sci_Write, which has 209 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 13, 2026.
Source: ShZhao27208/Aut_Sci_Write on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.