Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.
$ npx skills add Tai609/NebulaMat --skill nature-reviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Tai609/NebulaMat nature-reviewer --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/Tai609/NebulaMat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .claude/skills/nature-reviewer && 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 "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .claude/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewerType 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 Tai609/NebulaMat --skill nature-reviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Tai609/NebulaMat nature-reviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .agents/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .agents/skills/nature-reviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .agents/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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 Tai609/NebulaMat --skill nature-reviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Tai609/NebulaMat nature-reviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .cursor/skills/nature-reviewer && 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 "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .cursor/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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/Tai609/NebulaMat.git --path runtime/skills-bundle/nature-reviewer--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 Tai609/NebulaMat --skill nature-reviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Tai609/NebulaMat nature-reviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .gemini/skills/nature-reviewer && 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 "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .gemini/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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 Tai609/NebulaMat nature-reviewerInstalls 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 Tai609/NebulaMat --skill nature-reviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .github/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .github/skills/nature-reviewer && 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 "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .github/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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 Tai609/NebulaMat --skill nature-reviewer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Tai609/NebulaMat nature-reviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Tai609/NebulaMat.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/runtime/skills-bundle/nature-reviewer .opencode/skills/nature-reviewer && 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 "nature-reviewer" agent skill from https://github.com/Tai609/NebulaMat/tree/main/runtime/skills-bundle/nature-reviewer into .opencode/skills/nature-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nature-reviewer", 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.
nature-reviewerSimulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.
Nature Reviewer is an agent skill from Tai609/NebulaMat. Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Use for reviewer reports, mock peer review, manuscript critique, novelty/significance/technical-soundness assessment, 审稿人视角评估, 模拟审稿, 预审, 投稿前自审, 审稿意见模拟, or 帮我审一下论文. Produce evidence-grounded Major Concerns, Minor Comments, and blocking flags. For multiple reviewers, keep every reviewer mutually blind in a separate context, freeze all reports before comparison, and create any synthesis only afterward as…
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files (for example `README.md`, `README_EN.md` and `agents/openai.yaml`).
It sits in Research & Science, covering Peer review. The repository describes itself as: NebulaMat scientific materials research workbench.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c906ed5. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nature Reviewer loads about 2.9k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 1,207 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,207 words (~2,921 tokens).
“Use this skill to simulate a Nature-style reviewer assessment package from the referee side.”
SKILL.md and 19 other files (references) in runtime/skills-bundle/nature-reviewer of Tai609/NebulaMat.
Open the folder on GitHubat commit c906ed5
Nature Reviewer 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 |
|---|---|---|---|---|---|---|
| Nature Reviewer this skillTai609/NebulaMat | 100 | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
spacering-net/codeg
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Imbad0202/academic-research-skills
Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
Tai609/NebulaMat
Read and transcribe the text visible inside an image file (PNG/JPG/JPEG/WebP/BMP/GIF) using the built-in Windows Media.Ocr OCR engine, with NO external credential or network required.
Tai609/NebulaMat
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including…
Tai609/NebulaMat
Manage a stateful, run-directory-based proof project with Codex: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local attempt stalls, and an optional…
Tai609/NebulaMat
Build provenance-controlled facet-specific electrochemical adsorption model cohorts from MatterGen candidates after MatterSim relaxation, including slab terminations, adsorption sites and…
Tai609/NebulaMat
Generate auditable candidate crystal structures with the project's pinned MatterGen runtime, including request construction, model/conditioning selection, GPU-cost bounds, workspace-safe output…
Tai609/NebulaMat
Run governed MatterSim-v1.0.0-5M energy, force, stress, and optional ASE FIRE relaxation for workspace-local standardized structures.
Categories
Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Nature Reviewer is an agent skill from Tai609/NebulaMat. Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal.
Nature Reviewer fits situations like: reviewer reports; mock peer review; manuscript critique; novelty/significance/technical-soundness assessment.
Run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a claude-code`. Or copy the skill folder (runtime/skills-bundle/nature-reviewer in Tai609/NebulaMat) into .claude/skills/nature-reviewer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a codex`. Or copy the skill folder (runtime/skills-bundle/nature-reviewer in Tai609/NebulaMat) into .agents/skills/nature-reviewer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Tai609/NebulaMat --skill nature-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nature-reviewer, .gemini/skills/nature-reviewer, .github/skills/nature-reviewer and .opencode/skills/nature-reviewer in your project.
SKILL.md names no scripts, command-line tools or credentials: Nature Reviewer is instructions for the agent only.
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.
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.
Nature Reviewer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.9k tokens (SKILL.md is roughly 12k 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 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Nature Reviewer: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (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.
Tai609 (a GitHub user) maintains it in Tai609/NebulaMat, which has 100 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 6, 2026.
Source: Tai609/NebulaMat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.