Agent skill

Statistical Reviewer

by RConsortium in RConsortium/pharma-skills

Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).

No licenceAuto-check passedData & Analytics

Install Statistical Reviewer

skills CLI
$ npx skills add RConsortium/pharma-skills --skill statistical-reviewer -a claude-code

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

GitHub CLI
$ gh skill install RConsortium/pharma-skills statistical-reviewer --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/RConsortium/pharma-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/statistical-reviewer .claude/skills/statistical-reviewer && 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
statistical-reviewer
GitHub stars
119
Token cost
~4.8k tokens
SKILL.md length
1,911 words
Files
7 (incl. references)
Skills in repo
13
Repo updated
First seen
Licence
None found

At a glance

Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).

  • Works in 7 steps: Purpose and reviewer mindset → Inputs expected → Output format → …
  • The user provides clinical trial datasets
  • SKILL.md covers How to read this skill, 1. Purpose and reviewer mindset, 2. Inputs expected and 3. Output format, plus 4 more sections
  • Calls pip

What it does

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/.

When your agent uses it

  • The user provides clinical trial datasets
  • Analysis outputs
  • Submission materials and wants an independent check of correctness
  • Requests to review TLFs

Example prompts

  • “Use the statistical-reviewer skill to simulate an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM…”
  • “/statistical-reviewer”

Requirements

  • Python 3

Workflow steps

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

  1. Purpose and reviewer mindset
  2. Inputs expected
  3. Output format
  4. Check layers — summary
  5. Execution guidance
  6. Report structure
  7. Report delivery

What it can do on your machine

Read from SKILL.md and the folder at commit ae5d83b. 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

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • 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

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.

Always · name and description, kept in context so the agent knows when to use it
~187
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~21k

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

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:”

— opening of SKILL.md by RConsortium
name
statistical-reviewer

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references) in statistical-reviewer of RConsortium/pharma-skills.

  • SKILL.md
  • example_findings.md
  • references/adam_checks.md
  • references/cross_layer_workflows.md
  • references/realism_checks.md
  • references/sdtm_checks.md
  • references/tlf_checks.md

Open the folder on GitHubat commit ae5d83b

Compare with similar skills

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.

Statistical Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Statistical Reviewer this skillRConsortium/pharma-skills119—~4.8kAutomated safety check: PassNone
Model CardAperivue/medsci-skills331—~1.5kAutomated safety check: PassMIT
Clinical Data Cleaneraipoch/medical-research-skills2k—~2.4kAutomated safety check: PassMIT
Lab Unit Harmonizationbenchflow-ai/skillsbench1.8k—~2.7kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Dingo VerifyMigoXLab/dingo757—~741Automated safety check: NotesApache-2.0

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Questions about Statistical Reviewer

What does Statistical Reviewer do?

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).

When should I use Statistical Reviewer?

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.

How do I install Statistical Reviewer in Claude Code?

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.

How do I install Statistical Reviewer in Codex?

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.

Can I use Statistical Reviewer 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 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.

What does Statistical Reviewer need to run?

Going by SKILL.md and its folder, Statistical Reviewer needs the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Statistical Reviewer access the network?

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.

Is Statistical Reviewer 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 Statistical Reviewer use?

No licence was found for Statistical Reviewer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Statistical Reviewer use?

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.

What are the alternatives to Statistical Reviewer?

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.

Who maintains Statistical Reviewer?

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.