Agent skill

Review

by Muuuun in Muuuun/luxas

Write domain-authentic review articles that synthesize rather than stack.

MITAuto-check passedResearch & Science

Install Review

skills CLI
$ npx skills add Muuuun/luxas --skill review -a claude-code

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

GitHub CLI
$ gh skill install Muuuun/luxas 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/Muuuun/luxas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review .claude/skills/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
review
GitHub stars
1.2k
Token cost
~2.1k tokens
SKILL.md length
788 words
Files
17 (incl. scripts, references)
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Write domain-authentic review articles that synthesize rather than stack.

  • Works in 3 steps: Outline with thesis per section (BEFORE… → Draft, reading domain style guide before… → Synthesis rewrite pass (POST-draft)
  • Writing a survey / review / report that spans multiple primary papers
  • SKILL.md covers When to use which venue voice, The 3-step pipeline (mandatory), Hard rules and Style guides (one per domain), plus 3 more sections
  • Runs Shell scripts from its folder; calls bash

What it does

Review is an agent skill from Muuuun/luxas. Write domain-authentic review articles that synthesize rather than stack. Covers 10 scientific domains (physics, chemistry, biology, medicine, mathematics, computerscience, earthenvironment, astronomy, economics, materials) with per-domain style guides mined from landmark reviews in RMP / Nat. Rev. X / Annu. Rev. / Chem. Rev. / Bull. AMS / etc. Use this skill when writing a survey / review / report that spans multiple primary papers.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts and reference files (for example `references/anti_patterns.md`, `references/decision_tree.md` and `references/exemplar_survey_outline.md`). Compatibility notes: Pure prompt skill. No binaries, no scripts required at review-writing time.

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: An autonomous research colleague — from a question to a compiled manuscript, while you sleep. The licence is MIT.

When your agent uses it

  • Writing a survey / review / report that spans multiple primary papers
  • Tasks that involve Physical and earth sciences

Example prompts

  • “/review”

Requirements

  • A Bash shell
  • Compatibility (from SKILL.md): Pure prompt skill. No binaries, no scripts required at review-writing time.
  • Pre-approved tools (allowed-tools): Read, Edit, Write, Glob, Grep

Workflow steps

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

  1. Outline with thesis per section (BEFORE any prose)
  2. Draft, reading domain style guide before each section
  3. Synthesis rewrite pass (POST-draft)

What it can do on your machine

Read from SKILL.md and the folder at commit 9f77cef. 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:

    • Read
    • Edit
    • Write
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash

    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.

  • Compatibility

    Pure prompt skill. No binaries, no scripts required at review-writing time.

    From compatibility in the SKILL.md frontmatter.

Context cost

Review loads about 2.1k tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 788 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.8k

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 Muuuun/luxas at commit 9f77cef, republished under its MIT licence (© Muuuun). 788 words, ~2,057 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.
name
review
description
Write domain-authentic review articles that synthesize rather than stack. Covers 10 scientific domains (physics, chemistry, biology, medicine, mathematics, computer_science, earth_environment, astronomy, economics, materials) with per-domain style guides mined from landmark reviews in RMP / Nat. Rev. X / Annu. Rev. / Chem. Rev. / Bull. AMS / etc. Use this skill when writing a survey / review / report that spans multiple primary papers.
allowed-tools
Read, Edit, Write, Glob, Grep
compatibility
Pure prompt skill. No binaries, no scripts required at review-writing time.

Review Skill

Stacking is the default failure mode of autonomous review projects: "Smith et al. did X, found Y. Jones et al. extended to Z..." paragraph after paragraph, with no unifying thesis and no synthesis of tensions. Top-tier reviews do the opposite — they lead with a claim, pull disparate work into one frame, and leave the reader smarter than when they started.

This skill encodes the rhetorical and structural conventions of landmark reviews across 10 domains, mined from real corpus text (RMP, Chem. Rev., Nat. Rev. X, Annu. Rev., Bull. AMS, Science / Nature Reviews, and the domain-specific tier-1 venues). Inject a domain's style guide, follow the 3-step pipeline, obey the hard rules — and the output should pass the Turing test for an editor at its target venue.

When to use which venue voice

┌──────────────────────────────────────────────────┬──────────────────┐
│  Target length / audience                        │  Voice           │
├──────────────────────────────────────────────────┼──────────────────┤
│  Monograph (50–150 pp), pedagogical, archival    │  RMP / Chem.Rev. │
│    → equations, boxes, glossary, deep derivation │  / Phys.Rep.     │
│  Specialist (20–40 pp), claim-dense, tutorial    │  Annual Reviews  │
│    → thesis-per-section, figure-rich             │                  │
│  Short assessment (5–15 pp), stance-forward      │  Nat. Rev. X /   │
│    → abstract-caliber thesis per ¶, citation-dense │  Trends / Curr.Op. │
│  Opinionated essay (5–20 pp), single author      │  Nat Comment /   │
│    → warm first-plural, polemical beat           │  Nobel lecture   │
└──────────────────────────────────────────────────┴──────────────────┘

See references/decision_tree.md for full venue taxonomy.

The 3-step pipeline (mandatory)

Skip no step. Each exists because stacker projects skip exactly this step.

Step 1 — Outline with thesis per section (BEFORE any prose)

Produce notes/report_outline.md first (canonical path — the finish-gate's outline check reads exactly this file; first line MUST be type: survey). For the annotated gold-standard skeleton, see skills/review/references/exemplar_survey_outline.md:

markdown
type: survey
# <title>

## §1 Introduction
**Thesis:** <one sentence. What is this review claiming about the field?>
**Unifying framework:** <concept / equation / taxonomy that ties everything>
**Fold in:** Paper A (framework), Paper B (canonical result), …

## §2 <topic>
**Thesis:** <claim this section argues, not a topic label>
**Fold in:** Paper C, D, E
**Synthesis move:** <comparative_table | contrast_pair | unifying_equation | …>

…

Gate: do not draft prose until a PI / reviewer / user has signed off on this outline. This is the single most effective anti-stacking move — if you cannot articulate a thesis per section in one sentence, the section will stack.

Step 2 — Draft, reading domain style guide before each section

Before drafting §N:

  1. Read style_guides/<domain>.md — the entire guide, every time, fresh.
  2. Read §N's outline entry.
  3. Write prose that obeys the guide's claim-leading, synthesis-move, and transition conventions. Quote primary papers only where a claim needs evidence, not to fill the paragraph.
Step 3 — Synthesis rewrite pass (POST-draft)

After the full draft:

  1. For every paragraph, check its first sentence. If it starts with "Smith et al." / "Jones and coworkers" / "In [42]" / any author name → rewrite it to lead with a claim about the phenomenon, and push the citation to mid-paragraph or parenthetical.
  2. For every section, check its first paragraph. If it starts with orientation ("This section discusses…") instead of thesis → rewrite the first sentence to state the claim.
  3. For every section-to-section boundary, add a transition sentence that names the bridge (cause→effect / contrast / zoom-in / caveat / historical pivot). See references/transition_moves.md.

Hard rules

These are non-negotiable. Violations should trigger rewrite before output.

  1. No paragraph begins with an authorship phrase. "Smith et al." / "Jones and coworkers" / "In [42]" as paragraph-openers are banned. Lead with a claim about the phenomenon; attribute parenthetically or mid-paragraph.
  2. No section begins with "This section…" / "We now discuss…" / "Here we…" Lead with a thesis sentence about the field.
  3. No uncited claim, no un-claiming citation. Every citation must support a specific claim. Every claim beyond common knowledge gets a citation. Drive-by citations ("for a review see [7, 8, 9]" without claim anchoring) are a stacker tell — use them sparingly and only at section boundaries.
  4. Fold, don't list. When multiple papers make compatible findings, synthesize them into one claim with a shared citation cluster. When they disagree, make the tension the subject of the paragraph.
  5. Use domain voice. If writing physics, obey style_guides/physics.md on citation style (narrative vs parenthetical), equation density, section title voice. Do not import chemistry's taxonomy-monograph habits into a physics RMP draft.
Show full SKILL.md (236 more words)Show less

Style guides (one per domain)

Auto-loaded by the agent when <domain> is set. Each is ~1,000–2,000 words of prose distilled from 8–12 landmark reviews in that domain.

DomainVenues mined
physicsRMP, Phys. Rep., Nat. Rev. Phys., Annu. Rev. Cond. Matt., Quantum, Science
chemistryChem. Rev., Chem. Soc. Rev., Nat. Rev. Chem., Science
biologyCancer Discov., Nat. Rev. Genet., Science, eLife, Nat. Struct. Mol. Biol.
medicineNEJM, Nat. Med., Nat. Rev. Drug Discov., Nat. Rev. Genet.
mathematicsSIAM Review, Acta Numerica, Bull. AMS, Probab. Surv., Curr. Dev. Math.
computer_scienceNature, Science, NEJM, IEEE SPM, Nat. Mach. Intell., Annu. Rev. Fluid Mech., Comm. ACM
earth_environmentScience, Rev. Geophys., Nature, Nat. Rev. Earth Env., PNAS, ESSD
astronomyARA&A, Nat. Rev. Phys., A&A, ApJ Letters, PRX, CQG
economicsAnnu. Rev. Econ., JEP, AER, Handbook of Macroeconomics
materialsNature, Nat. Rev. Mater., Science, npj Comput. Mater., Nat. Energy, Chem. Soc. Rev.

References

  • references/anti_patterns.md — the stacking tells (paragraph openers, drive-by citations, "zoo of results" paragraphs, untriaged citation clusters). What to not write.
  • references/synthesis_rubric.md — the 7 canonical moves for unifying disparate work (unifying equation, comparative table, taxonomy tree, contrast pair, timeline, platform comparison, phase diagram).
  • references/transition_moves.md — grammar of section-to-section and paragraph-to-paragraph movement.
  • references/decision_tree.md — venue selection by length + audience + voice.

First-time usage

In a review project:

bash
# 1. Copy the relevant style guide into your project (optional; skill reads
#    from here by default)
cp skills/review/style_guides/physics.md report/style_guide.md

# 2. Draft outline.md FIRST per Step 1 above

# 3. Have PI review the outline — this is the gate

# 4. Draft prose per section, reading the style guide before each section

# 5. Synthesis rewrite pass per Step 3

# 6. Compile

Syncing style guides from source

Style guides are mined from real corpus text in the sister repo review_style_skills. To refresh:

bash
bash skills/review/scripts/sync_style_guides.sh

This re-copies data/style_guides/*.md from ~/Documents/review_style_skills into skills/review/style_guides/.

© Muuuun, 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 16 other files (scripts, references) in skills/review of Muuuun/luxas.

  • SKILL.md
  • references/anti_patterns.md
  • references/decision_tree.md
  • references/exemplar_survey_outline.md
  • references/synthesis_rubric.md
  • references/transition_moves.md
  • scripts/sync_style_guides.sh
  • style_guides/astronomy.md
  • style_guides/biology.md
  • style_guides/chemistry.md
  • style_guides/computer_science.md
  • style_guides/earth_environment.md
  • style_guides/economics.md
  • style_guides/materials.md
  • style_guides/mathematics.md
  • style_guides/medicine.md
  • style_guides/physics.md

Open the folder on GitHubat commit 9f77cef

Compare with similar skills

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.

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Cantera Ignition DelayK-Dense-AI/scientific-agent-skills48k1 repos~2.2kAutomated safety check: PassMIT
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Questions about Review

What does Review do?

Write domain-authentic review articles that synthesize rather than stack. Review is an agent skill from Muuuun/luxas. Write domain-authentic review articles that synthesize rather than stack.

When should I use Review?

Review fits situations like: writing a survey / review / report that spans multiple primary papers; tasks that involve Physical and earth sciences.

How do I install Review in Claude Code?

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

How do I install Review in Codex?

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

Can I use 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 Muuuun/luxas --skill 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/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

Going by SKILL.md and its folder, Review needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: A Bash shell. Its frontmatter pre-approves these tools: Read, Edit, Write, Glob, Grep. Compatibility (from SKILL.md): Pure prompt skill. No binaries, no scripts required at review-writing time..

Does 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 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 Review use?

Review 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 Review use?

About 2.1k tokens (SKILL.md is roughly 8.2k 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 5.7k tokens, read only when the agent opens those files.

What are the alternatives to Review?

Skills that share tags, products or a category with Review: Ngeo Writing Style (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars) and Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

Muuuun (a GitHub user) maintains it in Muuuun/luxas, which has 1,170 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 6, 2026.

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