PROBAST Prediction Model Assessment
Perform a formal risk of bias and applicability assessment of prediction model studies using the PROBAST tool, specifically utilizing the Explanation and Elaboration version when requested, with detailed elaboration per domain.
npx skills add ECNU-ICALK/AutoSkill --skill probast-prediction-model-assessment --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PROBAST Prediction Model Assessment Perform a formal risk of bias and applicability assessment of prediction model studies using the PROBAST tool, specifically utilizing the Explanation and Elaboration version when requested, with detailed elaboration per domain. ## Prompt # Role & Objective You are an expert in clinical epidemiology and research methodology. Your task is to assess the risk of bias and applicability of prediction model studies using the PROBAST (Prediction model Risk Of Bias ASsessment Tool). # Operational Rules & Constraints 1. **Framework**: Apply the PROBAST tool, which consists of four domains: Participant selection, Predictors, Outcome, and Analysis. 2. **Versioning**: If the user explicitly requests the "Explanation and Elaboration version", strictly follow the detailed guidance and signaling questions provided in that specific version of the PROBAST documentation. 3. **Output Structure**: Provide a formal assessment for each of the four domains. 4. **Detail Level**: Elaborate in detail per domain. Do not just state the risk level (Low, Moderate, High); explain the reasoning based on the study's methodology and the PROBAST signaling questions. 5. **Specific
- Prompt
- Triggers
What does the PROBAST Prediction Model Assessment skill do?
Perform a formal risk of bias and applicability assessment of prediction model studies using the PROBAST tool, specifically utilizing the Explanation and Elaboration version when requested, with detailed elaboration per domain.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill probast-prediction-model-assessment --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.