Model Card
Aperivue/medsci-skills
A skill your agent uses when a trained medical-imaging model needs its documentation.
Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).
$ npx skills add RConsortium/pharma-skills --skill statistical-reviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RConsortium/pharma-skills statistical-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/RConsortium/pharma-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/statistical-reviewer .claude/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .claude/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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/RConsortium/pharma-skills/tree/main/statistical-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 RConsortium/pharma-skills --skill statistical-reviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RConsortium/pharma-skills statistical-reviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RConsortium/pharma-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/statistical-reviewer .agents/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .agents/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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 RConsortium/pharma-skills --skill statistical-reviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RConsortium/pharma-skills statistical-reviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RConsortium/pharma-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/statistical-reviewer .cursor/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .cursor/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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/RConsortium/pharma-skills.git --path statistical-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 RConsortium/pharma-skills --skill statistical-reviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RConsortium/pharma-skills statistical-reviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RConsortium/pharma-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/statistical-reviewer .gemini/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .gemini/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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 RConsortium/pharma-skills statistical-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 RConsortium/pharma-skills --skill statistical-reviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RConsortium/pharma-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/statistical-reviewer .github/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .github/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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 RConsortium/pharma-skills --skill statistical-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 RConsortium/pharma-skills statistical-reviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RConsortium/pharma-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/statistical-reviewer .opencode/skills/statistical-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 "statistical-reviewer" agent skill from https://github.com/RConsortium/pharma-skills/tree/main/statistical-reviewer into .opencode/skills/statistical-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "statistical-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.
statistical-reviewerSimulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).
Statistical Reviewer is an agent skill from RConsortium/pharma-skills. Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR). Use when the user provides clinical trial datasets, tables, listings, figures, analysis outputs, or submission materials and wants an independent check of correctness, consistency, traceability, or data realism. Reviews denominators, populations, endpoints, multiplicity, safety summaries, cross-layer links from TLF to ADaM to SDTM/source, and whether data looks clinically plausible. Trigger…
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `example_findings.md`, `references/adam_checks.md` and `references/cross_layer_workflows.md`).
It sits in Data & Analytics, covering Clinical and healthcare research and Data cleaning. The repository describes itself as: A collection of agent skills for BioPharma use cases GSDBench Intake https://rconsortium.github.io/pharma-skills/gsdbench-intake/.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ae5d83b. 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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Statistical Reviewer loads about 4.8k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 187 tokens; SKILL.md has 1,911 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,911 words (~4,825 tokens).
“This SKILL.md is the orchestrator. It gives you the reviewer mindset, workflow, output format, and execution logic. Detailed check tables live in reference files — read only the ones you need:”
SKILL.md and 6 other files (references) in statistical-reviewer of RConsortium/pharma-skills.
Open the folder on GitHubat commit ae5d83b
Statistical 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 |
|---|---|---|---|---|---|---|
| Statistical Reviewer this skillRConsortium/pharma-skills | 119 | — | ~4.8k | Automated safety check: Pass | None | |
| Model CardAperivue/medsci-skills | 331 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Clinical Data Cleaneraipoch/medical-research-skills | 2k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Lab Unit Harmonizationbenchflow-ai/skillsbench | 1.8k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 |
Aperivue/medsci-skills
A skill your agent uses when a trained medical-imaging model needs its documentation.
aipoch/medical-research-skills
A skill your agent uses when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detecting outliers in lab…
benchflow-ai/skillsbench
Comprehensive clinical laboratory data harmonization for multi-source healthcare analytics.
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
maziyarpanahi/openmed
Maps OpenMed-extracted, terminology-coded conditions, drugs and measurements into OMOP CDM v5.4 tables for OHDSI and ATLAS analytics.
RConsortium/pharma-skills
Audit R code that prepares CSR/TLF statistics for SAS-compatible rounding compliance (ties away from zero, round-once-at-display, fixed trailing-zero precision).
RConsortium/pharma-skills
Converts one or more GitHub Issues into standardized benchmark data using automated scripts.
RConsortium/pharma-skills
Generate a concise weekly progress summary for the pharmaskills repository.
RConsortium/pharma-skills
Derives an ADaM Adverse Events Analysis Dataset (ADAE) using the {admiral} R package and pharmaverse ecosystem.
RConsortium/pharma-skills
Derives an ADaM Subject-Level Analysis Dataset (ADSL) using the {admiral} R package and pharmaverse ecosystem.
RConsortium/pharma-skills
Derives ADaM Basic Data Structure (BDS) datasets using the {admiral} R package.
Categories
Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR). Statistical Reviewer is an agent skill from RConsortium/pharma-skills. Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).
Statistical Reviewer fits situations like: the user provides clinical trial datasets; analysis outputs; submission materials and wants an independent check of correctness; requests to review TLFs.
Run `npx skills add RConsortium/pharma-skills --skill statistical-reviewer -a claude-code`. Or copy the skill folder (statistical-reviewer in RConsortium/pharma-skills) into .claude/skills/statistical-reviewer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add RConsortium/pharma-skills --skill statistical-reviewer -a codex`. Or copy the skill folder (statistical-reviewer in RConsortium/pharma-skills) into .agents/skills/statistical-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 RConsortium/pharma-skills --skill statistical-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/statistical-reviewer, .gemini/skills/statistical-reviewer, .github/skills/statistical-reviewer and .opencode/skills/statistical-reviewer in your project.
Going by SKILL.md and its folder, Statistical Reviewer needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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.
No licence was found for Statistical Reviewer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 4.8k tokens (SKILL.md is roughly 19k 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 16k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Statistical Reviewer: Model Card (Aperivue/medsci-skills, 331 stars), Clinical Data Cleaner (aipoch/medical-research-skills, 2k stars), Lab Unit Harmonization (benchflow-ai/skillsbench, 1.8k stars) and CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
RConsortium (a GitHub organization) maintains it in RConsortium/pharma-skills, which has 119 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 4, 2026.
Source: RConsortium/pharma-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.