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survival_stats_execution

Execute survival analysis workflows including Kaplan-Meier, Cox regression, and ROC outputs.

Updated Aug 23, 2026
Search Tags:#survival-analysis#kaplan-meier#biostatistics#cox-regression#trajectory-labels
One-click install
npx skills add https://github.com/BKZhao/-mimic-repo-agent --skill survival-stats-execution
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: survival_stats_execution
Source: https://github.com/BKZhao/-mimic-repo-agent/tree/main/openclaw/skills/survival_stats_execution
Command: npx skills add https://github.com/BKZhao/-mimic-repo-agent --skill survival-stats-execution

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Run or plan the main clinical statistics workflow for survival analyses, including baseline summaries, Kaplan-Meier estimates, Cox regression, restricted cubic splines, subgroup analyses, ROC, and the table-level outputs needed before figure rendering. For trajectory papers, this skill works after the repeated-measurement panel has already been converted into trajectory labels. For method families that are recognized but not yet natively wired, this skill should emit a local execution scaffold request rather than inventing results. When paper_actual_content_completion is active, this skill keeps valid paper-requested analyses moving toward real artifacts instead of stopping at threshold-only warnings or preset misses.

Core Features & Use Cases

  • Deterministic planning and execution of survival-analysis pipelines including KM, Cox, RCS, and ROC outputs
  • Support for trajectory-label based workflows with scaffold requests for unimplemented methods
  • Guardrails to ensure outputs align with requested analyses and progress toward real artifacts when possible

Quick Start

Run the survival statistics workflow on the current study data.

Frequently Asked Questions about survival_stats_execution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a Kaplan-Meier survival analysis and Cox regression workflow for clinical data?▼

Survival analysis workflows for Kaplan-Meier estimates and Cox regression are planned and executed deterministically using local numerical code, generating baseline summaries, survival curves, and table-level outputs before figure rendering.

What is the best way to handle survival statistics when a specific method family is not yet natively wired?▼

Survival statistics workflows emit a local execution scaffold request for recognized but unimplemented method families instead of fabricating results, ensuring deterministic execution and preventing prompt-based hallucinations in your clinical analyses.

Can I use restricted cubic splines and ROC curves for subgroup survival analysis?▼

Restricted cubic splines, ROC analyses, and subgroup analyses are supported within the survival statistics workflow, producing table-level outputs that align with requested clinical analyses and progress toward real artifacts.

Do I need to convert repeated-measurement panel data before running trajectory survival analyses?▼

Trajectory survival analyses require repeated-measurement panel data to first be converted into trajectory labels before the workflow can plan and execute the primary clinical statistics for your study.

How does survival analysis execution avoid hallucinated statistical results?▼

Survival analysis execution enforces deterministic local numerical code and avoids prompt-based hallucinations by supplying planning artifacts and emitting scaffold requests for unimplemented methods, ensuring figures and tables match requested outputs.

When paper_actual_content_completion is active, what happens to valid survival analyses?▼

Survival analyses advance toward real artifacts when paper_actual_content_completion is active, keeping valid paper-requested analyses moving instead of stopping at threshold-only warnings or preset misses.

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