Conciseness

The body is dense and procedural with no explanations of concepts Claude already knows; lists, tables, and commands dominate. A few passages stack multiple caveats into single sentences (e.g., RSA and EDA interpretation notes) and the citation-fetching instructions run long, so minor trimming is possible. Not 5 because a handful of sentences could be tightened without losing content; not 3 because padding is rare and localized.

Actionability

Every workflow ships copy-paste-ready guidance: bash invocations with real flags for all six bundled helpers, executable Python snippets against real 0.2.13 signatures (ecg_process, eda_phasic, epochs_create, bio_process, complexity), and tables mapping helpers and reference files to purposes. Matches the fully executable, common-cases-covered anchor.

Workflow Clarity

The 'Core workflow' gives a 10-step ordered preprocessing sequence, an 8-item data-contract checklist, and explicit validation checkpoints ('inspect before transforming', inspect_signal.py, validate_multimodal.py, 'Decide drop/pad/error before analysis'). Not 5 because no explicit fix-and-revalidate retry loop is stated for helper/batch operations — validation is present but error-recovery feedback is left implicit.

Progressive Disclosure

The body is a true overview: a one-level-deep References table (all 12 files verified present in references/) organized by modality, a scripts table with purposes, and 'Read only the files needed for the modality or decision' guidance. No nesting, no inline dumps of material that belongs in reference files; navigation is easy and well-signaled.

Specificity

Enumerates multiple concrete capability areas — 'physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity' — under the concrete verbs 'Builds and audits', giving comprehensive coverage of the library's domain rather than a partial list.

Completeness

Explicitly answers both questions: the first sentence states what the skill does, and 'Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation' gives a concrete when-clause, further sharpened by the negative boundary 'not for diagnosis or device validation'.

Trigger Term Quality

Includes the dominant natural trigger 'code imports neurokit2' plus domain phrasing like 'physiological time-series', but common user terms such as 'ECG', 'HRV', 'EDA', or 'biosignal' do not appear as keywords. Good coverage overall, so above the 'some relevant keywords' anchor but short of comprehensive synonym coverage.

Distinctiveness Conflict Risk

A named-library niche (NeuroKit2) with library-specific triggers ('imports neurokit2', 'current APIs, schemas') that no generic data-analysis or signal-processing skill would match, so conflict risk is minimal.