survival-curve-risk-table
Generate publication-quality Kaplan-Meier survival curves with aligned "Number at risk" tables meeting NEJM, Lancet, and JCO journal standards.
86
Quality
83%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
82%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong, domain-specific description that clearly identifies concrete deliverables (KM curves, at-risk tables) and quality standards (major medical journals). The main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know exactly when to select this skill. The technical terminology is appropriate for the target audience.
Suggestions
Add a 'Use when...' clause with trigger phrases like 'survival analysis', 'time-to-event', 'clinical trial figures', or 'manuscript figures'
Consider adding file format triggers such as 'survival data', '.csv with time and event columns', or 'Cox regression output'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists specific concrete actions: 'Generate publication-quality Kaplan-Meier survival curves' and 'aligned Number at risk tables' with explicit quality standards (NEJM, Lancet, JCO). Multiple specific deliverables are named. | 3 / 3 |
Completeness | Clearly answers 'what' (generate KM curves with at-risk tables meeting journal standards) but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The when is only implied through the domain specificity. | 2 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'Kaplan-Meier', 'survival curves', 'Number at risk', and specific journal names (NEJM, Lancet, JCO). These are terms biostatisticians and clinical researchers naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche - Kaplan-Meier survival analysis with specific journal formatting is a narrow, well-defined domain. Unlikely to conflict with other skills due to the specialized statistical and publication focus. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured, actionable skill with clear CLI examples, explicit workflow steps, and good error handling patterns. The content is mostly efficient though has minor redundancy between the fallback template, output requirements, and error handling sections. Strong progressive disclosure with external reference for detailed parameters.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy (e.g., the fallback template and output requirements sections overlap in purpose, and some explanations like 'Automatically add Number at risk tables' could be trimmed). The tables and CLI examples are appropriately concise. | 2 / 3 |
Actionability | Provides fully executable CLI commands with concrete examples, clear parameter tables, and copy-paste ready bash commands. The quick check section and multiple CLI usage examples give specific, actionable guidance. | 3 / 3 |
Workflow Clarity | Clear 5-step workflow with explicit validation (step 2), error handling path (step 5 fallback), and group count check with pagination logic. The fallback template provides structured error recovery, and error handling section covers edge cases. | 3 / 3 |
Progressive Disclosure | Well-organized with clear sections (Quick Check, When to Use, Workflow, CLI Usage, etc.) and appropriate reference to external file for full parameters: 'Full parameter and journal style reference: references/parameters.md'. Content is appropriately split without deep nesting. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- Reviewed
Table of Contents
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