time-dependent-roc

Use when performing time-dependent ROC curve analysis for survival data with follow-up time, event status, and a numeric marker. Supports CSV/TXT/TSV/Excel input, `risk_score` as the default marker unless `--marker_col` is provided, parameter validation, standardized output directories, AUC table export, ROC point export, and PDF figure generation.

Quality

87%

Does it follow best practices?

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Securityby

Passed

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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-structured, highly actionable CLI skill body with clear sections, executable examples, and good reference navigation. Minor redundancy in the Outputs section and one dangling reference path keep it just short of top marks.

Suggestions

Consolidate the Outputs section: keep the directory tree and the exported-field lists once each, removing the redundant 'Primary output files' bullet list that repeats the tree.

Inline the verification step into the Minimal Workflow (e.g. '4. Verify data/time_roc_points.csv, table/time_roc_auc.csv, figure/time_roc.pdf exist') so the validation checkpoint is part of the main flow rather than a separate section.

Remove or fix the tests/data/ reference in the 'Read These Files When Needed' table since that path is absent from the bundle.

Dimension	Reasoning	Score
Conciseness	Mostly efficient and free of concept explanations Claude already knows, but the output structure is described three ways (tree, primary-files list, two exported-field lists) and the Validation section reuses the Quick Examples command, so minor trimming is possible.	4 / 5
Actionability	Fully executable guidance throughout: copy-paste-ready Rscript invocations, a complete argument table, a package install command, and two concrete worked examples covering the default and custom-marker cases.	5 / 5
Workflow Clarity	A clear three-step Minimal Workflow with an output-check checkpoint plus a dedicated Validation section and a Common Errors map; the validation is housed in a separate section rather than inline in the main flow, leaving a minor integration gap.	4 / 5
Progressive Disclosure	Well-signaled one-level-deep references via the 'Read These Files When Needed' table pointing to real files in references/ and scripts/, but the table also references tests/data/ which is not present in the bundle, a minor navigation gap.	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 that clearly states both capability and trigger conditions with concrete, specific actions and a well-defined niche. The only minor gap is a handful of natural synonyms a user might employ.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'time-dependent ROC curve analysis', 'AUC table export', 'ROC point export', 'PDF figure generation', 'parameter validation', 'standardized output directories' — giving comprehensive coverage of what the skill does.	5 / 5
Completeness	Explicitly answers both 'what' (ROC analysis, exports, validation, standardized outputs) and 'when' via the concrete trigger clause 'Use when performing time-dependent ROC curve analysis for survival data with follow-up time, event status, and a numeric marker.'	5 / 5
Trigger Term Quality	Good natural-term coverage including 'time-dependent ROC curve', 'survival data', 'follow-up time', 'event status', 'numeric marker', and file formats 'CSV/TXT/TSV/Excel'; a few common synonyms (e.g. 'biomarker', 'discrimination') are absent so it sits just below the comprehensive anchor.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (time-dependent ROC for survival data) with distinct, specific triggers and minimal realistic overlap with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: aipoch/medical-research-skills
Path: awesome-med-research-skills/Data Analysis/time-dependent-roc/SKILL.md
Commit: f5ef65b

Reviewed: ~9 hours ago

Table of Contents

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