clinical-research
An AI agent skill from alirezarezvani/claude-skills, scored 69 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Use when designing a prospective clinical study: choosing primary and secondary endpoints, estimating sample size and power, or scoring feasibility before submission. Runs endpoint_selector.py, sample_size_estimator.py and phase_gate_scorer.py; outputs are estimates for a biostatistician to confirm.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- alirezarezvani/claude-skills
- Folder
- research-ops/skills/clinical-research
- License
- MIT
- GitHub stars
- 29,683
- SKILL.md lines
- 148
- Other files
- 10
Add clinical-research to your agent
npx skills add alirezarezvani/claude-skills --skill clinical-research
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.