A skill your agent uses when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue.

MITAuto-check passedResearch & Science

Install Brain

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill brain -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills brain --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Clinical-Medicine-Journal-Skills/skills/brain .claude/skills/brain && 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
brain
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
798 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue.

  • Targeting Brain
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a clinical-neurology

What it does

Brain is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue. Encodes the journal's fit, the mechanistic-depth-with-clinical-relevance evidence bar, reporting-guideline and registration requirements, Guarantors of Brain/OUP house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

Its SKILL.md is about 2k 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 Clinical and healthcare research. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting Brain
  • Deciding whether a clinical-neurology
  • Translational-neuroscience study fits this venue

Example prompts

  • “/brain”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Brain loads about 2k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 798 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 798 words, ~2,035 tokens.

Download SKILL.mdSave it as .claude/skills/brain/SKILL.md (or your agent's skills folder).
name
brain
description
Use when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue. Encodes the journal's fit, the mechanistic-depth-with-clinical-relevance evidence bar, reporting-guideline and registration requirements, Guarantors of Brain/OUP house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

Brain (brain)

Journal positioning

Brain is published by the Guarantors of Brain (Oxford University Press) and is a leading journal of clinical neurology and translational neuroscience, distinguished by its demand for both mechanistic depth and clinical relevance to human nervous-system disease — neurodegeneration, epilepsy, movement disorders, neuroimmunology and neuro-inflammation, neuromuscular disease, neuro-oncology, and the genetics, imaging, and pathology that illuminate disease mechanisms. It serves academic neurologists and neuroscientists and expects work that advances understanding of how a neurological disease arises or progresses, grounded in human data or strongly disease-relevant models; routine clinical-trial reporting without mechanistic insight, and bench neuroscience with no clear disease anchor, are a weak fit. This skill is a fit / venue-selection / re-framing aid; it is not clinical or regulatory advice and does not replace the journal's current instructions for authors. Before submitting, re-check the live Brain author instructions.

When to trigger

  • The author names Brain for a mechanistic clinical-neurology or translational-neuroscience study and wants a fit/framing check.
  • A neurology study must be re-framed around a disease mechanism with clinical relevance rather than a descriptive cohort or routine trial report.
  • The author is choosing between Brain, a clinical-trials neurology journal, and a cerebrovascular-specific or basic-neuroscience venue.
  • The author needs the journal's mechanistic-evidence, reporting-guideline, and desk-reject expectations.

Scope & topic fit

  • Neurodegeneration (Alzheimer's, Parkinson's, ALS, FTD, prion disease): mechanism, biomarkers, neuropathology, and genotype-phenotype studies.
  • Epilepsy: mechanisms of epileptogenesis, networks, genetics, and surgically/electrophysiologically anchored human studies.
  • Movement disorders and neuromuscular disease with mechanistic, genetic, or neuropathological depth.
  • Neuroimmunology and neuro-inflammation (MS, autoimmune encephalitis, antibody-mediated disease) with mechanistic insight.
  • Disease-relevant neurogenetics, advanced neuroimaging tied to mechanism, and human neuropathology/biomarker studies.
  • Translational neuroscience in disease-relevant models that directly informs human neurological disease.

Method & evidence bar

  • Studies are expected to combine rigorous methodology with a clear mechanistic advance grounded in human data or strongly disease-relevant models; correlation-only descriptive cohorts are insufficient.
  • The applicable reporting guideline must be followed and its checklist supplied: STROBE for observational studies, CONSORT for trials, PRISMA for systematic reviews, STARD for diagnostic/biomarker accuracy; ARRIVE-aligned reporting for animal work.
  • Interventional trials require prospective registration with the registration number and protocol/statistical-analysis plan.
  • Mechanistic claims must rest on direct, manipulative or convergent evidence (genetics, pathology, functional readouts), with adequate controls, replication, and human validation where feasible.
  • Biomarker and imaging claims require an independent validation cohort and comparison against an accepted reference standard.
  • Genetic and neuropathological studies need adequate sample size/segregation evidence and appropriate statistical handling of multiple comparisons.

Structure & house style

  • Guarantors of Brain/OUP format with a structured abstract; re-check current article types (Original Article, etc.), graphical-abstract requirements, and limits on the live guide.
  • The introduction frames a focused disease-mechanism question and its clinical relevance; the discussion integrates mechanism with implications for understanding or managing the neurological disease.
  • Figures must show controls, replication, and quantification supporting each mechanistic claim; STROBE/CONSORT/PRISMA flow diagrams are expected where applicable.
  • Supplements carry full methods, genetic/pathological and reagent details, the protocol, and extended cohorts/analyses.
Show full SKILL.md (313 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the ICMJE/EQUATOR and Guarantors of Brain/OUP anchors, then cite the current Brain page you checked.
  • Search the live site for "Brain journal instructions to authors" and follow the current Guarantors of Brain/OUP version.
  • Re-check article types, word/figure limits, structured- and graphical-abstract format, and statistical-reporting requirements.
  • Confirm trial registration, the reporting checklist (STROBE/CONSORT/PRISMA/STARD), data/code-sharing statement, and protocol/SAP submission.
  • Re-check IRB/ethics and consent, brain-bank/tissue and genetic-data governance, animal-use approval and ARRIVE-aligned reporting, ICMJE authorship and conflict-of-interest disclosure, funding, and AI-use disclosure.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The study delivers a clear disease mechanism with clinical relevance, grounded in human data or a disease-relevant model.
  • Mechanistic claims rest on convergent/manipulative evidence with adequate controls, replication, and human validation where feasible.
  • The correct reporting checklist (STROBE/CONSORT/PRISMA/STARD) and, for animal work, ARRIVE-aligned reporting are completed.
  • Biomarker/imaging/genetic claims include an independent validation cohort and appropriate multiple-comparison handling.
  • Interventional trials are prospectively registered with the number in the manuscript; protocol/SAP provided.
  • IRB/tissue/animal ethics and consent, ICMJE disclosures, and a data-sharing statement are prepared.

Common desk-reject triggers

  • Descriptive clinical cohorts or case series with no mechanistic advance.
  • Mechanistic claims from a single model with correlative-only data and no human validation.
  • Routine trial or registry reports without mechanistic or conceptual insight.
  • Biomarker/imaging/genetic studies without an independent validation cohort or reference standard.
  • Missing trial registration, tissue/animal-ethics approval, or the required reporting checklist.
  • Basic neuroscience with no clear neurological-disease anchor, better served by a basic-neuroscience venue.

Re-routing decision

  • Clinical-trial or observational neurology emphasis without deep mechanism → jama-neurology.
  • Cerebrovascular-specific (ischemic/hemorrhagic stroke, prevention, recovery) → stroke.
  • Practice-changing, broadly significant trial → general medicine (jama / NEJM / The Lancet in the natural-science bundle).
  • Neuro-oncology dominated by a systemic-oncology endpoint → jama-oncology / annals-of-oncology.
  • Pure basic neuroscience mechanism with no disease translation → a basic-neuroscience venue in the natural-science bundle.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Brain (Guarantors of Brain / OUP)
[Neuroscience tags] <2–3 closest topics, e.g. neurodegeneration mechanism, epilepsy genetics, autoimmune encephalitis>
[Study design / reporting guideline] <mechanistic / cohort-STROBE / RCT-CONSORT / review-PRISMA / diagnostic-STARD>
[Method/evidence] <mechanistic depth, human validation, replication, registration>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / registration / checklist / tissue-animal ethics / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

© brycewang-stanford, 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 Clinical-Medicine-Journal-Skills/skills/brain of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Brain 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.

Brain compared with similar skills
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CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Model AssessmentAperivue/medsci-skills3291 repos~4.5kAutomated safety check: PassMIT
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Proposalluwill/research-skills858—~4.4kAutomated safety check: NotesNone

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Questions about Brain

What does Brain do?

A skill your agent uses when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue. Brain is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Brain or deciding whether a clinical-neurology or translational-neuroscience study fits this venue.

When should I use Brain?

Brain fits situations like: targeting Brain; deciding whether a clinical-neurology; translational-neuroscience study fits this venue.

How do I install Brain in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill brain -a claude-code`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/brain in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/brain in your project. Claude Code loads it when a task matches its description.

How do I install Brain in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill brain -a codex`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/brain in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/brain in your project. Codex loads it when a task matches its description.

Can I use Brain 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 brycewang-stanford/Awesome-Journal-Skills --skill brain -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brain, .gemini/skills/brain, .github/skills/brain and .opencode/skills/brain in your project.

What does Brain need to run?

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

Does Brain 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 Brain 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 Brain use?

Brain 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 Brain use?

About 2k tokens (SKILL.md is roughly 8.1k 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 Brain?

Skills that share tags, products or a category with Brain: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Model Assessment (Aperivue/medsci-skills, 329 stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brain?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.