Agent skill

Clinical Research Tools

by DrugClaw in DrugClaw/DrugClaw

Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis.

Apache-2.0Auto-check passedResearch & Science

Install Clinical Research Tools

skills CLI
$ npx skills add DrugClaw/DrugClaw --skill clinical-research-tools -a claude-code

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

GitHub CLI
$ gh skill install DrugClaw/DrugClaw clinical-research-tools --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/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/medical/clinical-research-tools .claude/skills/clinical-research-tools && 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
clinical-research-tools
GitHub stars
126
Token cost
~1.2k tokens
SKILL.md length
479 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis.

  • Works in 5 steps: Keep the task at the study or cohort… → Separate confirmed study facts from… → State assumptions behind endpoint,… → …
  • The user asks to design
  • SKILL.md covers Working Rules, Study Design Map, Reporting Guideline Map and Protocol Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Clinical Research Tools is an agent skill from DrugClaw/DrugClaw. Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis. Use when the user asks to design or review human-subjects research, trial analyses, observational studies, study protocols, CSRs, or clinical evidence summaries without requesting patient-specific diagnosis or treatment decisions.

Its SKILL.md is about 1.2k 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: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.

When your agent uses it

  • The user asks to design
  • Review human-subjects research
  • Observational studies
  • Study protocols

Example prompts

  • “/clinical-research-tools”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Keep the task at the study or cohort level.
  2. Separate confirmed study facts from proposed design choices.
  3. State assumptions behind endpoint, power, and statistical-model choices.
  4. Call out data leakage, immortal-time bias, selection bias, and confounding whenever relevant.
  5. Do not present DrugClaw as giving medical advice, treatment recommendations, or diagnostic decisions.

What it can do on your machine

Read from SKILL.md and the folder at commit 960a6e0. 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

Clinical Research Tools loads about 1.2k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 479 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 479 words, ~1,163 tokens.

Download SKILL.mdSave it as .claude/skills/clinical-research-tools/SKILL.md (or your agent's skills folder).
name
clinical-research-tools
description
Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis. Use when the user asks to design or review human-subjects research, trial analyses, observational studies, study protocols, CSRs, or clinical evidence summaries without requesting patient-specific diagnosis or treatment decisions.

Clinical Research Tools

Use this skill for group-level human research work, not bedside care.

Typical triggers:

  • choose between RCT, cohort, case-control, cross-sectional, diagnostic, or single-arm designs
  • define primary and secondary endpoints, estimands, eligibility criteria, or subgroup analyses
  • select the right reporting guideline such as CONSORT, STROBE, PRISMA, STARD, TRIPOD, SPIRIT, or CARE
  • draft protocol, SAP, CSR, or evidence-summary outlines
  • review bias, confounding, missing data, and sample-size assumptions
  • prepare trial or real-world-evidence summaries for drug-discovery programs

Working Rules

  1. Keep the task at the study or cohort level.
  2. Separate confirmed study facts from proposed design choices.
  3. State assumptions behind endpoint, power, and statistical-model choices.
  4. Call out data leakage, immortal-time bias, selection bias, and confounding whenever relevant.
  5. Do not present DrugClaw as giving medical advice, treatment recommendations, or diagnostic decisions.

Study Design Map

Use this quick routing:

  • RCT: intervention efficacy, causal inference, registration-ready protocols
  • Prospective cohort: prognosis, exposure-outcome tracking, real-world evidence
  • Retrospective cohort: registry or EHR analyses with explicit confounding control
  • Case-control: rare outcomes or exploratory risk-factor work
  • Cross-sectional: prevalence, survey snapshots, baseline association work
  • Diagnostic accuracy: sensitivity, specificity, ROC, calibration, decision curves
  • Prediction model: risk scores, survival models, treatment-response models with external validation plans

Reporting Guideline Map

Choose and state the governing framework early:

  • CONSORT: randomized trials
  • SPIRIT: trial protocols
  • STROBE: observational studies
  • PRISMA: systematic reviews and meta-analysis
  • STARD: diagnostic accuracy studies
  • TRIPOD: prediction models
  • CARE: case reports
  • ICH E3: clinical study reports

Protocol Workflow

For protocol or study-design requests:

  1. Define population, intervention or exposure, comparator, outcome, and timeframe.
  2. State inclusion and exclusion criteria.
  3. Define primary endpoint, key secondary endpoints, and censoring rules.
  4. Choose analysis populations: ITT, mITT, per-protocol, safety.
  5. Describe missing-data handling and sensitivity analyses.
  6. State sample-size assumptions clearly: alpha, power, effect size, event rate, dropout.
  7. Specify monitoring, ethics, registration, and data-governance requirements.
Show full SKILL.md (175 more words)Show less

Statistical Planning Checklist

Always address:

  • endpoint type: binary, continuous, count, time-to-event
  • stratification variables and subgroup policy
  • multiplicity control
  • covariate adjustment policy
  • temporal leakage and look-ahead bias
  • external validation or temporal validation when building prediction models
  • calibration, not only discrimination, for predictive work

Evidence Synthesis

For evidence summaries:

  • identify study type and evidence level
  • note patient population, line of therapy, biomarker context, and comparator
  • distinguish efficacy, safety, and external-validity conclusions
  • state what remains uncertain
  • use cautious language for indirect or observational evidence

Outputs

Good outputs usually include:

  • one-page design summary or protocol skeleton
  • endpoint table
  • statistical analysis outline
  • bias and limitation section
  • reporting-guideline checklist

For ClinicalTrials.gov, openFDA, or OpenAlex lookups, activate pharma-db-tools. For cohort tables, biosignals, or DICOM datasets, activate medical-data-tools. For citation cleanup, evidence matrices, or structured review drafting, activate literature-review-tools. For hypothesis tests, regression, or effect-size reporting, activate stat-modeling-tools. For Kaplan-Meier, log-rank, or Cox workflows, activate survival-analysis-tools. For manuscript critique, hypothesis framing, or reproducibility checklists, activate scientific-workflow-tools. For molecular, variant, pathway, or structure work, activate bio-tools, bio-db-tools, chem-tools, or docking-tools as appropriate.

© DrugClaw, Apache-2.0. 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 skills/medical/clinical-research-tools of DrugClaw/DrugClaw.

Open the folder on GitHubat commit 960a6e0

Compare with similar skills

Clinical Research Tools 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.

Clinical Research Tools compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clinical Research Tools this skillDrugClaw/DrugClaw126—~1.2kAutomated safety check: PassApache-2.0
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Biomedical Analysis Dispatchxjtulyc/MedgeClaw6171 repos~2kAutomated safety check: PassNone
Research Paperluwill/research-skills862—~1.9kAutomated safety check: PassNone
Research Proposalluwill/research-skills862—~4.5kAutomated safety check: NotesNone

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Questions about Clinical Research Tools

What does Clinical Research Tools do?

Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis. Clinical Research Tools is an agent skill from DrugClaw/DrugClaw. Clinical research workflow guide for protocol design, endpoint selection, evidence grading, reporting-guideline selection, statistical planning, and clinical-trial evidence synthesis.

When should I use Clinical Research Tools?

Clinical Research Tools fits situations like: the user asks to design; review human-subjects research; observational studies; study protocols.

How do I install Clinical Research Tools in Claude Code?

Run `npx skills add DrugClaw/DrugClaw --skill clinical-research-tools -a claude-code`. Or copy the skill folder (skills/medical/clinical-research-tools in DrugClaw/DrugClaw) into .claude/skills/clinical-research-tools in your project. Claude Code loads it when a task matches its description.

How do I install Clinical Research Tools in Codex?

Run `npx skills add DrugClaw/DrugClaw --skill clinical-research-tools -a codex`. Or copy the skill folder (skills/medical/clinical-research-tools in DrugClaw/DrugClaw) into .agents/skills/clinical-research-tools in your project. Codex loads it when a task matches its description.

Can I use Clinical Research Tools 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 DrugClaw/DrugClaw --skill clinical-research-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clinical-research-tools, .gemini/skills/clinical-research-tools, .github/skills/clinical-research-tools and .opencode/skills/clinical-research-tools in your project.

What does Clinical Research Tools need to run?

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

Does Clinical Research Tools 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 Clinical Research Tools 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 Clinical Research Tools use?

Clinical Research Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Clinical Research Tools use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Clinical Research Tools?

Skills that share tags, products or a category with Clinical Research Tools: Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 stars) and Research Paper (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clinical Research Tools?

DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 126 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.

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