Medsci Skills plugin for Grok Build

Community Claude Code plugin, installs in GrokPluginResearch

Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.

How to install Medsci Skills in Grok Build

grok plugin install Aperivue/medsci-skills --trust
✓ Install-checked in Grok Buildchecked Oct 18, 2026

Review before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.

We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. This repo's marketplace has 9 plugins; we checked medsci-literature. Install another the same way: grok plugin install <name>@Aperivue/medsci-skills --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it. Grok names it medsci-skills-752d586a (after its install folder), so that's the name to use with grok plugin uninstall.

Command format: Grok Build's plugin guide

What we checked: on Oct 18, 2026 it installed with grok 1.0.62 and Grok found 62 skills. That's an install check only: we haven't run it in a live Grok session.

What it contains

Skills (25)

  • academic-aio — Use when a medical AI paper should be found and cited by AI search engines and RAG tools. Optimizes the title, abstract, summary box (Key Points, Research in Context), keywords, preprint, GitHub README/CITATION.cff and Hugging Face card, re
  • add-journal — Use when a target journal has no profile yet. Reads the journal's author guidelines and writes a detailed /write-paper profile plus a compact /find-journal profile, public or user-local private, in the canonical format with quality gates.
  • analyze-stats — Use when data needs statistical analysis. Runs reproducible Python/R code for Table 1, diagnostic accuracy, agreement, regression, survival, propensity score, survey-weighted and repeated-measures models, with publication tables. Sample siz
  • architecture-zoo — Renamed to /model-selection in v6 (removed in v7).
  • author-strategy — Use when analyzing a researcher's publication record from PubMed. Fetches an author's papers, classifies study types and author position, charts the patterns and writes a strategy report, with an optional trajectory-archetype classification
  • batch-cohort — Use when one validated cohort analysis must be repeated across many exposure/outcome pairs. Generates one R/Python script per combination from a single methodology template, changing only the variables, and aggregates the results into a sum
  • calc-sample-size — Use when planning how many patients or cases a study needs before data collection (power analysis, IRB justification). Walks a decision tree to the right test and returns reproducible R/Python code and IRB-ready justification text. Analyzin
  • check-reporting — Use when auditing a manuscript item by item against a reporting guideline or risk-of-bias tool. Covers 49 reporting guidelines and risk-of-bias tools (STROBE, CONSORT, STARD, TRIPOD+AI, PRISMA, QUADAS and more), marking each item PRESENT, P
  • clean-data — Use when a clinical CSV/Excel dataset needs profiling and cleaning before analysis (missing values, outliers, duplicates, type mismatches). Profiles, flags and generates cleaning code in three stages, each gated on the researcher's approval
  • contribute — Use when sending local changes back to the project (an added journal profile, a fixed checklist item, an adapted skill) or reporting a false positive or bug. Finds what changed, scans it for patient data, shows every line and sends nothing
  • cross-national — Use when comparing an exposure-outcome association across countries with parallel national surveys (KNHANES, NHANES, CHNS). Harmonizes variables, runs parallel weighted analyses and builds comparison tables for 2-country (KR+US) or 3-countr
  • define-variables — Use when exposure, outcome, covariate or eligibility definitions and cutoffs need a citable basis before the protocol. Reads the data dictionary first, then maps each variable to a guideline or published definition and the database columns
  • deidentify — Use when clinical data may contain PHI and must be de-identified before any LLM-assisted analysis. A local Python script (no network or AI calls) detects identifiers with regex and heuristics in 12 country locale packs, with interactive ter
  • design-ai-benchmarking — Use when designing a study that benchmarks AI systems against a human-expert panel, before data collection. Plans the arms, decoupled rubrics with anchors, planted calibration probes, reviewer panel, inter-rater reliability targets and LLM-
  • design-study — Use when checking a radiology or medical AI study design before drafting or submission. Reviews the analysis unit, cohort logic, leakage risks, comparator, validation strategy and reporting-guideline fit. AI-vs-expert benchmarks are /design
  • explainability — Renamed to /model-assessment in v6 (removed in v7).
  • fill-icmje-coi — Use when each author needs an ICMJE Conflict of Interest disclosure form (coi_disclosure.docx) for submission. Clones a pre-filled synthetic seed with every item marked None and replaces only date, name and manuscript title, so most authors
  • fill-protocol — Use when an institutional Word form (.doc/.docx IRB protocol, ethics application, grant template) must be filled without breaking its styles, tables, fonts or page layout. Renders content drafted by /write-protocol into the template; CJK-aw
  • find-cohort-gap — Use when looking for research topics a longitudinal cohort database can answer (NHIS, UK Biobank, an institutional EMR or registry). Profiles the cohort, matches PI expertise, scans literature saturation and returns ranked topic proposals w
  • find-journal — Use when choosing where to submit a manuscript. Matches the abstract against curated journal profiles and returns ranked picks with scope fit, AI-disclosure policy, an acceptance-readiness pre-flight and a reject-fallback cascade. Impact an
  • fulltext-retrieval — Use when you need full-text PDFs for a list of DOIs, such as a meta-analysis screening set. Batch-downloads open-access copies via Unpaywall, PMC, OpenAlex and Crossref, lists paywalled papers for manual access, and can convert PDFs to Mark
  • generate-codebook — Use when a tabular dataset (CSV, Excel, Parquet, Stata, SAS) needs a data dictionary. Profiles every variable (type, levels, range, missingness) into codebook.md and codebook.json and flags coded values of unknown meaning as [NEEDS DICTIONA
  • grant-builder — Use when drafting a grant or challenge proposal for a radiology or medical AI project, including a Korean government industry-academia plan. Structures significance, innovation, approach, aims, milestones and consortium roles, keeping claim
  • humanize — Use when a manuscript or response-to-reviewers letter reads as AI-written. Scans for 27 AI writing patterns and rewrites flagged passages, preserving technical accuracy and bounding how much text changes. Not general copy-editing; that is /
  • imaging-data — Use when preparing a medical-imaging dataset (DICOM/NIfTI) for modelling. Profiles spacing, orientation, intensity, label integrity, foreground fraction and target volume, gates them against the plan, then plans and audits preprocessing and

Plugins in this marketplace (9)

  • medsci-literature — Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
  • medsci-data — Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
  • medsci-modeling — Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never
  • medsci-analysis — Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
  • medsci-writing — IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
  • medsci-review — Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
  • medsci-submission — Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
  • medsci-project — Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
  • medsci-presentation — Academic presentation and PPTX building, PDF/document rendering, environment setup, skill publishing, and offering your changes back to the project.

About this listing

Medsci Skills is a community plugin on GitHub by Aperivue, written as a Claude Code plugin that Grok Build installs. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 25 skills, 9 plugins in this marketplaces. Its license is MIT. We checked commit f3fca73aff75. It's one of 52 listings in the Research category on GrokStacks.

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Medsci Skills FAQ

How do I install Medsci Skills in Grok Build?

Run grok plugin install Aperivue/medsci-skills --trust. We install-checked this command in Grok Build. We install this repo directly: Grok Build 1.0.62 can't install it through its own marketplace file. This repo's marketplace has 9 plugins; we checked medsci-literature. Install another the same way: grok plugin install <name>@Aperivue/medsci-skills --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it. Grok names it medsci-skills-752d586a (after its install folder), so that's the name to use with grok plugin uninstall.

Is Medsci Skills an official Grok Build plugin?

No. Medsci Skills is a community plugin on GitHub by Aperivue, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.

What does Medsci Skills include?

According to what Grok loaded in our install check, Medsci Skills includes 25 skills, 9 plugins in this marketplaces: academic-aio, add-journal, analyze-stats, architecture-zoo, author-strategy, batch-cohort….

Details

Type
Plugin
Category
Research
Source
Community Claude Code plugin, installs in Grok
License
MIT
Author
Aperivue
Keywords
agent-skills, biostatistics, claude-code, claude-skills, clinical-research, codex, cursor, diagnostic-accuracy, irb-protocol, literature-review, manuscript, medical-ai
Source repo
https://github.com/Aperivue/medsci-skills
Checked commit
f3fca73aff75
Homepage
https://aperivue.com/skills
Checked by GrokStacks
Install-checked in Grok Build on Oct 18, 2026; not run in a live session

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Markdown summary

**[Medsci Skills on GrokStacks](https://grokstacks.com/p/medsci-skills/)**: Community plugin for Grok Build with 25 skills, 9 plugins in this marketplaces. Install: `grok plugin install Aperivue/medsci-skills --trust`

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