nomogram-construction

Use when constructing a prognosis nomogram from survival-related clinical predictors, exporting the nomogram bundle and C-index table, and optionally rendering the final nomogram PDF. NOT for: univariate/multivariable Cox feature screening, calibration curves, ROC analysis, decision-curve analysis, or non-survival outcomes.

Quality

89%

Does it follow best practices?

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Securityby

Passed

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Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable CLI skill body with strong progressive disclosure and a validated workflow. Main weakness is mild redundancy between the Usage and Examples sections plus a non-essential implementation checklist.

Suggestions

Collapse the Examples section or fold its distinct variations (custom horizons, plot sizing) into the Usage block to remove duplicated build/plot commands.

Drop or move the Implementation Checklist — it is internal development meta-content that does not help Claude execute the skill.

Weave a short 'if validation fails, see Error Handling' feedback note into Workflow Step 1 so the validate→fix→retry loop is inline rather than only in a separate table.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with tables and copy-paste commands and no padding with concepts Claude already knows, but the Examples section duplicates the Usage commands and the Implementation Checklist adds meta-noise that could be trimmed.	4 / 5
Actionability	Fully executable copy-paste Rscript commands for both build and plot modes, a complete argument table with defaults, concrete CSV input format, and smoke-test commands covering the common cases.	5 / 5
Workflow Clarity	A clear 5-step sequence with Step 1 as an explicit validation checkpoint and a dedicated error-recovery table, but feedback loops live in a separate table rather than woven inline into the workflow steps.	4 / 5
Progressive Disclosure	A 'When to Read External Files' table gives well-signaled one-level-deep navigation to real files (algorithm.md, cli-guide.md, troubleshooting.md, main.R), with algorithm/CLI/troubleshooting detail appropriately split out of the overview.	5 / 5
	Total	18 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, well-scoped description that clearly states both capability and trigger conditions while proactively disambiguating adjacent skills via a NOT-for list. Only minor gap is the absence of file-extension synonyms in the trigger terms.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'constructing a prognosis nomogram', 'exporting the nomogram bundle and C-index table', and 'optionally rendering the final nomogram PDF' — covering the full workflow comprehensively.	5 / 5
Completeness	Explicitly answers both what (construct/export/render) and when via a concrete 'Use when' trigger phrase, matching the top anchor.	5 / 5
Trigger Term Quality	Strong natural domain terms ('prognosis nomogram', 'C-index', 'nomogram PDF') that users would actually say, but missing common synonyms and file extensions like '.pdf' or '.xlsx'.	4 / 5
Distinctiveness Conflict Risk	Narrow survival-nomogram niche plus an explicit 'NOT for' list excluding Cox screening, calibration, ROC, and DCA gives a clear niche with minimal conflict risk.	5 / 5
	Total	19 / 20 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 1 missing	Warning

	Total	14 / 16 Passed

Repository: aipoch/medical-research-skills
Path: awesome-med-research-skills/Data Analysis/nomogram-construction/SKILL.md
Commit: f5ef65b

Reviewed: ~6 hours ago

Table of Contents

Discovery Implementation Validation

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