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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

88%

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SKILL.md
Quality
Evals
Security

Quality

Content

82%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-engineered CLI skill body: fully executable commands, a complete argument/error reference, clear scope boundaries, and proper deferral of detail to one-level-deep reference files. Weaknesses are minor: development-artifact noise (checklist, version stamp, historical-output note), a missing explicit output-verification checkpoint, and one dangling script reference (scripts/install_dependencies.R).

Suggestions

Remove the Implementation Checklist, the 'Last updated/Version' footer, and the 'Historical development artifacts may still exist in tests/output/' note — they are development metadata, not usage guidance, and version/date info belongs in a changelog or deprecated section.

Add an explicit post-build verification step to the Workflow (e.g., 'After build, confirm data/Nomogram_list.qs and table/nomogram_c_index.xlsx exist before running plot mode') to close the checkpoint gap.

Fix the dangling reference: either include scripts/install_dependencies.R in the bundle or replace the bootstrap-installer line with only the direct install.packages() command.

DimensionReasoningScore

Conciseness

The body is dense with tables and executable commands and avoids explaining concepts Claude already knows (no primer on Cox models or nomograms). Not 5: the Implementation Checklist, the "Last updated: 2026-04-27 | Version: 2.1.0" line, and the "Historical development artifacts may still exist in tests/output/" note are development metadata that spend tokens without guiding usage, and the version/date info is not placed in a changelog/deprecated section.

4 / 5

Actionability

Every workflow is given as complete, copy-paste-ready Rscript commands with all flags (build, plot, smoke test), backed by a full argument table with types and defaults, an example CSV, and executable dependency installation. Not 4: the examples cover the common cases (basic build, custom prediction horizons, re-plot of an existing bundle) with no gaps in key details.

5 / 5

Workflow Clarity

The five-step Workflow is clearly sequenced with validation as an explicit Step 1, and the Error Handling table plus "IF error persists, READ: references/troubleshooting.md" provides a real feedback loop, so the batch-operation validation cap does not apply. Not 5: the workflow narrates the script's internals rather than prescribing an explicit post-run verification checkpoint (e.g., confirm data/Nomogram_list.qs exists before plot mode).

4 / 5

Progressive Disclosure

The "When to Read External Files" table cleanly signals one-level-deep references (references/algorithm.md, references/cli-guide.md, references/troubleshooting.md all exist as advertised), and details are appropriately deferred. Not 5: "Rscript scripts/install_dependencies.R" references a file absent from the bundle's scripts/ directory, the Arguments and Error Handling tables partially duplicate references/cli-guide.md, and tests/ paths referenced in Testing cannot be verified in the bundle.

4 / 5

Total

17

/

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 strong description: it states concrete capabilities in third person, gives an explicit 'Use when' trigger, and demarcates scope with a precise NOT-for list that prevents mis-triggering against Cox screening and validation skills. The only headroom is adding a few synonyms (prognostic/prediction model, concordance) and file extensions to broaden keyword matching.

DimensionReasoningScore

Specificity

"constructing a prognosis nomogram from survival-related clinical predictors, exporting the nomogram bundle and C-index table, and optionally rendering the final nomogram PDF" lists multiple concrete actions covering both build and plot modes comprehensively, matching the anchor-5 example's breadth. Not 4: there are no meaningful coverage gaps — construction, bundle export, C-index table, and PDF rendering span the skill's full capability surface.

5 / 5

Completeness

Both questions are explicitly answered: the what ("constructing a prognosis nomogram ... exporting the nomogram bundle and C-index table, and optionally rendering the final nomogram PDF") and the when ("Use when constructing a prognosis nomogram from survival-related clinical predictors"). Not 4: the trigger clause is explicit and concrete rather than merely present.

5 / 5

Trigger Term Quality

Natural terms like "prognosis nomogram", "C-index", "survival", and "nomogram PDF" would commonly appear in user requests, and the NOT-for list adds routing terms ("Cox", "calibration curves", "ROC analysis"). Not 5: common synonyms ("prognostic model", "prediction model", "concordance index") and file extensions (.qs, .xlsx, .csv) are missing.

4 / 5

Distinctiveness Conflict Risk

The niche is distinct (nomogram construction from pre-selected survival predictors) and the explicit exclusions — "NOT for: univariate/multivariable Cox feature screening, calibration curves, ROC analysis, decision-curve analysis, or non-survival outcomes" — sharply separate it from sibling modeling/validation skills. Not 4: the negative trigger list removes the main remaining overlap risk with closely related Cox/validation skills.

5 / 5

Total

19

/

20

Passed

Validation

87%

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

CriteriaDescriptionResult

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

Reviewed

Table of Contents

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