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Evaluate biomarker performance with ROC analysis, AUC, sensitivity, and specificity.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Fetch and analyze AlphaFold-predicted protein structures from the AlphaFold DB or EBI.
Autonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
Search, read, and query research papers via the `alpha` CLI (bioRxiv-backed). Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.
Monitor bioRxiv and medRxiv preprints for a topic, author, or keyword. Use for staying current with emerging biomedical research before peer review.
Search and summarize clinical trials from ClinicalTrials.gov and EU CTR. Use for drug development, competitive intelligence, and evidence synthesis.
Contribute changes to the Darwin repository itself. Use when the task is to add features, fix bugs, update prompts or skills, change install or release behavior, improve docs, or prepare a focused PR against this repo.
| name | biomarker-roc |
| description | Evaluate biomarker performance with ROC analysis, AUC, sensitivity, and specificity. |
Evaluate biomarker diagnostic or prognostic performance.
# Biomarker ROC: [biomarker] in [disease]
## Study Data
| Study | N | Cases | Controls | AUC (95% CI) | Cutoff | Sen | Spe |
## Meta-Analysis (if ≥3 studies)
- Pooled AUC
- Heterogeneity
## Clinical Utility
- Incremental value over standard markers
- Cost-effectiveness (if data available)
## Validation Gaps
Save to outputs/biomarker-roc-<slug>.md.