Conciseness

The body is lean and assumes competence — argument table, method-choice guidance, and error codes are all tight. Not 5 because the Validation section duplicates the Quick Examples Pearson command verbatim (only the output dir differs) and the `--help` check adds little.

Actionability

Commands are fully executable with concrete flags, defaults, and an example input snippet ('Rscript scripts/main.R --data_file tests/data/sample_correlation_1.csv ...'). Not 5 because the example and validation paths reference tests/data files that are not present in the bundle, so the copy-paste examples fail out of the box.

Workflow Clarity

'Minimal Workflow' gives a clear 3-step sequence with an explicit output checkpoint ('Check the output directory for result files under table/'), the Validation section verifies a concrete output file, and Common Errors plus troubleshooting.md provide an error-recovery feedback loop. Not 4 because validation checkpoints are explicit rather than implied.

Progressive Disclosure

The 'Read These Files When Needed' table cleanly signals one-level-deep references (algorithm.md, cli-guide.md, troubleshooting.md — all real files) and the SKILL.md stays an overview. Not 5 because the referenced tests/data/ path does not exist in the bundle, leaving a dangling reference.

Specificity

Lists multiple concrete actions — 'performing correlation analysis between two variables including Pearson and Spearman correlation methods', 'automatic data format detection, parameter validation, result directory creation, and CSV or TXT format result export' — with comprehensive coverage of the skill's capabilities. Not 4 because there are no minor gaps in coverage.

Completeness

Explicitly answers both: what it does ('Supports command-line parameter input, automatic data format detection, parameter validation, result directory creation, and CSV or TXT format result export') and when to use it ('Use when performing correlation analysis between two variables including Pearson and Spearman correlation methods'). Not 4 because the 'when' clause is concrete and specific, not generic.

Trigger Term Quality

Good natural keyword coverage ('correlation analysis', 'Pearson', 'Spearman', 'two variables', 'CSV', 'TXT') that users would plausibly say. Not 5 because common synonyms and phrasings like 'correlate', 'association between variables', or 'relationship between variables' are missing.

Distinctiveness Conflict Risk

Clear niche (bivariate Pearson/Spearman correlation with CLI workflow and file export) with distinct trigger terms and minimal overlap with other data-analysis skills. Not 4 because the statistical method names make it highly distinguishable.